Dear YNiC users,
This is a reminder that the YNiC Science Committee will meet next Monday,
27th April, at 2pm in B002. YNiC users are welcome to come along to this
meeting to ask questions and make suggestions about the running of YNiC. If
you wish to raise something, please drop me a line (
beth.jefferies(a)york.ac.uk) before the meeting so that I can add it to the
agenda. If you are unable to come along but you want to raise a point for
discussion, that is fine too - just get in touch.
The YNiC Science Committee meets on Monday week 3 of each term at 2pm.
With best wishes
Beth
--
Beth Jefferies
Department of Psychology, University of York, UK
+44 01904 324368
Dear Users
This Thursday (from 4 pm in B020) there will be two internal project
proposal presentations:
1)**Jonny Smallwood
*"Exploring the psychological, structural architecture of spontaneous
thought: A cohort study" *
2) Rachel Woodall
*"Assessing visual cortex in candidates for retinal prosthetics"*
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Dear Users
This afternoon (from 4 pm in B020) Dr. Rebecca Jackson, University of
Manchester, will give a Connectivity Club talk on *"The use of Novel and
Convergent Methodologies to assess Semantic and Default Mode Networks"*.
http://www.manchester.ac.uk/research/rebecca.jackson/personaldetails
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
1.
A 3 year postdoctoral fellowship in Multimodal Imaging at NORMENT is
currently available. NORMENT is a Norwegian Centre of Excellence, and
coordinates a translational multicenter study involving all University
hospitals in Oslo and several groups at the Universities of Oslo and
Bergen. The main aims are to disentangle the neurobiological, genetic,
psychological and environmental factors contributing to the development
of severe mental disorders. Through our extensive infrastructure for
clinical evaluations, cognitive testing, MRI and biobanking we are
assembling a comprehensive database comprising healthy controls and
patients suffering from schizophrenia and bipolar disorders. NORMENT is
directly involved in several large-scale international collaborative
efforts, to which the successful candidate is expected to contribute.
http://tinyurl.com/pu6hug2
* Job description
The postdoctoral fellow will play a central role in the analysis and
dissemination of data from a large imaging genetics database, in
particular focusing on developing and applying methods for integrating
multimodal imaging (sMRI, DTI, fMRI) and genetics. The work will be
carried out as part of a cross-disciplinary team in close collaboration
with the NORMENT Biostatistics and Genetics groups, and researchers at
the Oxford FMRIB Centre (http://www.fmrib.ox.ac.uk), University of
California, San Diego (http://mmil.ucsd.edu), and deCODE genetics,
Iceland. The position is funded through an extended career grant from
the Norwegian Health Authorities.
* Qualifications
The successful candidate is ambitious and highly motivated for pursuing
a research career, holds a PhD in neuroimaging, computational or
cognitive neuroscience, biomedical engineering, biostatistics, or
equivalent, has a strong background and interest in neuroscience,
genetics, MRI analysis or biostatistics, and a strong publication
record. Previous experience with imaging genetics or brain network and
connectivity analysis is an advantage. Proficiency in shell scripting,
Matlab, R, python or similar programming languages or software tools is
required.
* The application
Applications are submitted through the Oslo University Hospital online
recruitment system and must include application letter including
motivation for applying for the position, CV summarizing education,
relevant work experience, grants etc, a complete list of publications
and academic work, and contact details of 2-3 references.
Application deadline: July 15 2015
For any informal enquiries regarding the position, please do not
hesitate to contact group leader Lars T. Westlye
(l.t.westlye(a)psykologi.uio.no).
http://tinyurl.com/pu6hug2
----
Lars T. Westlye, PhD
Senior Researcher, Head of Multimodal Imaging Group
NORMENT CoE, KG Jebsen Centre for Psychosis Research, Oslo University
Hospital, Oslo, Norway
Associate Professor II
Department of Psychology, University of Oslo
Email: l.t.westlye(a)psykologi.uio.no | Phone: +47 971 63 221
==============================================================
2.
Postdoctoral Fellowship at Duke-National University of Singapore
Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center
for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National
University of Singapore is looking for postdoctoral fellow in cognitive
neuroscience and/or multimodal neuroimaging.
Our group studies the human neural bases of social-emotion, cognition,
and memory functions and the associated vulnerability patterns in
neuropsychiatric disorders, including neurodegenerative diseases
(focusing on AD, FTD and preclinical stages) and Schizophrenia.
Multimodal neuroimaging and psychophysical techniques are employed,
including magnetic resonance imaging (MRI), functional MRI, diffusion
tensor imaging, and electroencephalography (EEG). We are interested in
developing computational methods to examine the network-level structural
and functional brain connectivity to shed light on the neurobiological
mechanism of disease, paving the way for early detection and intervention.
Candidates must have a passionate enthusiasm for research, a strong
background in one of the following fields: computational neuroscience,
cognitive neuroscience, neuropsychiatric disorders, neuroimaging
analyses, mathematics/statistics/machine learning or related-fields.
He/she should also possess the ability to take the initiative, work
independently and be motivated to work in a highly collaborative and
international research environment, and be able to demonstrate
creativity, technical independence and excellent communication skills.
Strong interest in studying dynamic functional connectivity and its
relationships with cognition and disease would be a plus. Proven skills
in fMRI/EEG/DTI data analyses is a plus but not necessary.
Key attractions are access to a 3T Prisma MR scanner and a MR compatible
digital EEG system as well as collaboration opportunities with an
excellent network of domestic and international scientists and doctors.
The position will be two years with possible extension. Competitive
package will be provided based on experience.
Interested applicants are welcome to email Assistant Prof. Helen Juan
Zhou at helen.zhou(a)duke-nus.edu.sg with application letter, curriculum
vitae, three references, and contact information. Website:
https://sites.google.com/site/mneuroimaginglab/;
http://www.duke-nus.edu.sg/content/zhou-juan-helen
===========================================
3.
MRC PhD studentship
Doctoral Training Programme, University of Nottingham.
Supervisors:
Sue Francis, Sir Peter Mansfield Imaging Centre
Denis Schluppeck, School of Psychology
We are looking to recruit a highly motivated PhD student to study
"Somatotopic maps and their renormalisation in patients". The project
will combine state-of-the art anatomical and functional MRI at 7 T and
advanced data analysis methods. In particular, we aim to measure (a) the
topographic organization of human somatosensory cortex (at the scale of
a millimetre), (b) the relationship of these maps to columnar and
laminar structures (which are fractions of a millimetre), and (c) how
these structures are re-organized over time (plastically) in the brains
of patients with sensory loss.
Our group has recently been awarded a £690,000 collaborative MRC grant
to develop this work using 7 T MRI, so the student will be able to
benefit from our clinical and non-clinical collaborations at Nottingham,
Liverpool, Gothenburg, Aix-Marseille, and North Carolina.
Candidates should hold a degree in a relevant field such as
neuroscience, psychology, physiology, physics, computer science or a
related discipline. We are looking for a highly motivated individual
with a general interest in sensory perception, attention and/or decision
making. Candidates should have excellent quantitative skills, including
a background in computing (preferably Matlab or C/C++), as well as
mathematical and technical skills. Experience with neuroimaging, in
particular acquisition and analysis of functional MRI data, is a plus.
This is a 3-year funded position available from the 1st of September
2015 and the person appointed will be expected to start no later than
1st October 2015. Standard Research Council stipend rates will apply
(£14,210 in 2015/16).
Informal enquiries may be addressed to Dr Susan Francis, [Email:
susan.francis(a)nottingham.ac.uk] or Dr Denis Schluppeck [Email:
denis.schluppeck(a)nottingham.ac.uk].
Further details about the Sir Peter Mansfield Imaging Centre and the
School of Psychology are available at:
http://www.nottingham.ac.uk/psychology and
http://www.nottingham.ac.uk/research/groups/spmic/
===================================================
4.
Location: School of Psychology, University of Kent, Canterbury
Salary: £32,277 to £45,954
Hours: Full Time
Contract Type: Permanent
Closes: 21st June 2015
Are you passionate about cognitive psychology or cognitive neuroscience?
Do you have the academic skills to challenge thinking, foster debate and
develop the ability of students to engage in critical discourse and
rational thinking?
As a Lecturer in the School of Psychology, you will provide research,
teaching, supervision and related administration to enhance the student
experience in this subject area.
This position is offered on an ongoing and full time basis.
As Lecturer in Cognitive Psychology/Cognitive Neuroscience you will:
-Undertake research both independently and collaboratively
-Train and support students and colleagues in the use of specialist
equipment, programming and analysis
-Contribute to core teaching on the undergraduate and MSC Psychology
programmes
As Lecturer in Cognitive Psychology/Cognitive Neuroscience you will have:
-A PhD in Psychology, Neuroscience or a cognate discipline
-Successful completion of world-leading and internationally excellent
research
-Evidence of methodological expertise (e.g. TMS, EEG, eye-tracking)
-Evidence of the ability to obtain competitive research grants from UK
research councils/other international sources
If you have the skills and experience we are looking for, this role
provides a great opportunity to develop your academic career in a
supportive and collegiate environment.
School of Psychology
The School of Psychology at the University of Kent is consistently rated
in the top 20 of UK course providers.
Based upon factors such as entry standards, student satisfaction,
research assessment and graduate prospects, Psychology at Kent ranked
13th in the 2015 Complete University Guide, 14th in the 2015 Guardian
University Guide, and 19th in the 2015 Sunday Times/Times Good
University Guide.
Our research has four key themes: cognition and neuroscience;
developmental psychology; forensic psychology; and social psychology. In
all these fields, we have an excellent record of attracting external
research funding and postgraduate students and in recent years the
School has won funding from the ERC, ESRC, MRC, Leverhulme Trust,
British Academy, Nuffield Foundation, Department of Trade and Industry,
Age UK, People United, the Higher Education Academy, the Big Lottery
Fund, Department of Communities and Local Government, the Ministry of
Justice, and HM Prison Service.
For more details, and to apply, click here:
https://www11.i-grasp.com/fe/tpl_kent01.asp?newms=jj&id=39101&aid=14243
===========================================
5.
One-year neuroimaging postdoc on learning and decision-making
http://www.reading.ac.uk/about/jobs/about-job-details.aspx?vacancy_id=10465…
--
Dr Anastasia Christakou
Centre for Integrative Neuroscience & Neurodynamics
School of Psychology & Clinical Language Sciences
University of Reading
anastasia.christakou.org
==========================
6.
Two positions are available for Postdoctoral Fellows in the lab of Dr.
Matilde Inglese, Department of Neurology at the Icahn School of Medicine
at Mount Sinai Hospital in New York city.
The ideal candidates would hold a Ph.D. degree in Medical Physics,
Biomedical Engineering, or a related field. These positions requires
experience in the acquisition and analysis of structural/functional MRI
data and/or MR spectroscopy data. Candidates should be highly motivated
and interested in working in an interdisciplinary environment. Strong
written and oral English communication skills are required.
Details for each position can be found in the attached documents.
Applicants should send a cover letter describing research experience and
interests, as well as an up-to-date curriculum vitae, and contact
information for three references to Matilde Inglese, M.D., Ph.D., by
email: matilde.inglese(a)mssm.edu.
Potential applicants can contact me during the OHBM meeting or by email
(catarina.saiote(a)mssm.edu) to find out more about the role.
Best,
Catarina Saiote, PhD
Postdoctoral Fellow
Department of Neurology
Icahn School of Medicine at Mount Sinai
Phone:212-824-9320
http://icahn.mssm.edu/research/labs/inglese-laboratory
===============================
7.
Research Associate Position in Cambridge (UK)
Applicants should have a PhD degree with a strong background in
neuroimaging and neuroscience to join the Drug Addiction Research group
on 1 October 2015 for at least 2 years. The group focuses on functional
and structural brain abnormalities associated with the risk of and
resilience to drug addiction, and the effects that chronic drug exposure
has on the brain.
Proficiency with Python, Matlab, or R languages, and other neuroimaging
analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI
and DTI analyses are expected. In order to maximise the research outputs
from the data, a demonstrated interest in researching, developing,
applying and interpreting novel analysis methods is highly desirable.
Closing date 15 June 2015 Start date 01 October 2015 Website
http://www.jobs.cam.ac.uk/job/7027/
Salary
£28,695-£37,394
Category
Human Neuroimaging Research
Reference Number
RN06116
Informal enquiries may be directed to
Dr Karen Ersche via email to ke220(a)cam.ac.uk.
===================================
8
Open position: Postdoctoral Research Associate in Computational Neuroimaging
This is a two years position, renewable for longer term based upon
performance and productivity. Review of applicants will begin on August
1st, 2015, and will continue until the position is filled.
The successful candidate will contribute to research in the
Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) of the
Biomedical Engineering Department at New Jersey Institute of Technology.
The Lab focuses on development and implementations of analytic and
statistic models for providing quantitative biological criteria that
help diagnosis of cognitive deficits, by integrating high-dimensional
multi-modal neuroimaging, clinical and behavioral data and refined
imaging analysis and multivariate machine learning techniques. The
collaborative research team includes renowned quantitative and clinical
scientists affiliated at New Jersey Institute of Technology, Rutgers
University, Icahn School of Medicine at Mount Sinai, City University of
New York, and Albert Einstein College of Medicine. The multiple
neuroimaging modalities involved in the lab includes structural MRI,
DTI, task-based and resting-state fMRI and functional near-infrared
spectroscopy (fNIRS). The study population greatly focuses on children
with Attention Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum
Disorder (ASD), Mood Disoder (MD), and Traumatic Brain Injury (TBI).
Qualifications of candidate:
A PhD degree in biomedical engineering, electrical and computer
engineering, computer science, mathematics, statistics, computational
neurosciences or a related quantitative field
Research experiences in analyses of neuroimaging data collected
from any of the following modalities: structural MRI, DTI, fMRI, fNIRS,
and EEG/ERP
Strong programming skills in any of the following languages:
Matlab, C/C++, Python, Shell Scripts, R, SAS, and extensive knowledge on
Unix/Linux operating systems
Candidates with strong experience on machine learning, pattern
classification, regression methods, or sparse representation are
particularly encouraged to apply.
Additional qualifications include ability to work well in a
multidisciplinary, highly collaborative research team; interest in
translational research between neuroscience, computational models, and
clinical populations, and s strong record or potential for scholarly
productivity.
Contact: Please email your CV, statement of research interests and
career goals, and copies of representative publications in a single PDF
document to:
Dr. Xiaobo Li
Associate Professor of Biomedical Engineering
Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN
Lab)
New Jersey Institute of Technology
xiaobo.li(a)njit.edu
=====================================================
9.
Open position: PhD student in Computational Neuroimaging
Application Due: October 1st, 2015
Starting date: 2016 Spring Semester
The successful candidate will contribute to research in the
Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) of the
Biomedical Engineering Department at New Jersey Institute of Technology.
The Lab focuses on development and implementations of analytic and
statistic models for providing quantitative biological criteria that
help diagnosis of cognitive deficits, by integrating high-dimensional
multi-modal neuroimaging, clinical and behavioral data and refined
imaging analysis and multivariate machine learning techniques. The
collaborative research team includes renowned quantitative and clinical
scientists affiliated at New Jersey Institute of Technology, Rutgers
University, Icahn School of Medicine at Mount Sinai, City University of
New York, and Albert Einstein College of Medicine. The multiple
neuroimaging modalities involved in the lab includes structural MRI,
DTI, task-based and resting-state fMRI and functional near-infrared
spectroscopy (fNIRS). The study population greatly focuses on children
with Attention Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum
Disorder (ASD), Mood Disoder (MD), and Traumatic Brain Injury (TBI).
Candidate Requirements: The candidate should have a Master’s degree in
biomedical engineering, electrical and computer engineering, computer
science, mathematics, physics, computational neurosciences or a related
discipline. Expertise in brain imaging and/or programming is highly
preferred.
Tasks of the PhD student: To work in collaboration with clinical and
engineering departments for the development and application of new
methodologies; to analyze complex multi-modal and longitudinal
neuroimaging and clinical data; to participate in MRI data acquisition,
manuscripts writing.
Programming Languages and Toolboxes employed in the lab: Matlab, C/C++,
Python, Shell Scripts, R, SAS, FSL, FreeSurfer, SPM, AFNI, etc.
Operating Systems employed in the lab: Linux based high performance
parallel computing system.
Contact: The candidature (Research Statement, CV, copies of the
transcript and diploma) goes to:
Dr. Xiaobo Li
Associate Professor of Biomedical Engineering
Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN
Lab)
New Jersey Institute of Technology
xiaobo.li(a)njit.edu
======================================
10.
The Charitable Foundation P&K Pühringer together with the Universities
of Zurich and Geneva is inviting
applications for Ph.D. and postdoc positions to study the practical
implications of neuroeconomic theory
and the neuroscience of learning in investment and wealth management. We
seek outstanding young
researchers as of August 2015:
• 2 Post Doctoral Fellows in Neuroeconomics with experience in
neuroimaging and/or
computational models of decision making
• 1 PhD Student in Neuroeconomics
• 1 Post Doctoral Fellow in data analysis and machine learning
Successful applicants will have joint appointments at the Universities
of Zurich or Geneva and the Asset
Management company ZZ Vermögensberatung (Schweiz) AG in Vitznau,
Switzerland. The positions will
be located at the RIC in Vitznau which offers a unique combination of a
strong financial investment
group and state-of-the-art neuroscientific methodologies as well as
close links to the cereneo
neurorehabilitation clinic which is housed under the same roof. The
latter focuses on the neural
processes underlying learning and recovery after brain lesions.
We offer:
• For postdocs, 2 year appointment renewable upon good performance
up to 5 years.
• State of the art neuroimaging, including 3T Philips Ingenia MRI,
brain stimulation lab, and more
• The opportunity to develop application-driven research at the
intersection of finance and
neuroscience
• Interdisciplinary research evironment including experts in
finance, neuroscience and neurology
as well as finance professionals
• Workplace in an attractive environment, located in one of the
most beautiful regions of
Switzerland
We expect:
• Strong background in Neuroeconomics / Neurofinance and data
analysis, respectively, with
above average track record
• Willingness for independent and interdisciplinary work in
unconventional, creative ways
• Good communication skills
• Commitment to a multi-year research project allowing development
of own research ideas
Applications should include a letter of motivation, CV, list of
publications (with key pubilcations marked)
as well as the names and addresses (including email) of two references.
Please send applications in electronic form to Kai.Lutz(a)cereneo.ch or in
paper form to cereneo AG, Dr.
Kai Lutz, Seestrasse 18, 6354 Vitznau, Switzerland. The deadline for
application is July 15, 2015.
Outstanding late applications may be considered.
=================================
11.
We are looking for a PHD Student. Please read all détails :
TEAM HOME
Thematic : Neurosciences
Team name: Institute for Memory and Alzheimer’s Disease
Team Home Manager Supervisor Harald Hampel HAMPEL Harald(PU)
Title of the research unit: : Institut du Cerveau et de la Moelle
Épinière (ICM), INSERM
Name of Director : Alexis Brice
PROPOSED TOPIC
Title :
Structural, Functional and Effective Connectivity of AD Related Neural
Networks
Project :
Applications are invited for a fully funded PhD position (3 years) at
the Pierre and Marie Curie University
(Université Pierre et Marie Curie (Paris 6), UPMC, Paris, France), at
the Doctoral School of Brain, Cognition,
Behavior (Ecole Doctorale Cerveau-Cognition-Comportement, “ED3C”).
The UPMC, part of the Sorbonne Universities, is the leading University
in France in the area of science,
technology, and medicine and among the leading universities in the
world. The scientific policy of the “ED3C” is
strongly characterized by its multidisciplinary nature and its
commitment towards both human sciences and
mathematical disciplines.
Objectives :
The PhD will be involved in the investigation of structural,
functional and effective connectivity of neural
network models related to Alzheimer’s disease (AD), such as the limbic
system (especially the hippocampal
formation, the amygdala, and the entorhinal cortex) and the basal
forebrain cholinergic system using both
Magnetic Resonance Imaging (MRI) and functional Magnetic Resonance
Imaging (fMRI) including advanced
tractography methods. The associations between brain pathology and
indices of functional and structural
connectivity are expected to help our understanding of the role of
specific neural networks and their connectivity
in brain function in healthy aging and neurodegenerative disease.
The PhD student will be involved in the study of the multi-modal
nature of specific neural networks – both
in the structural and the functional domains and how these two
components interact with each other – along with
the staging spectrum of AD (from preclinical to prodromal to
dementia). To this aim, he/she will have access to
different landmark clinical cohorts and datasets of patients including
the INSIGHT, SOCRATES, and EDSD
cohorts.
The PhD student will be involved in the exploration of the various
uses that structural and functional
neuroimaging biomarkers can play in detecting, diagnosing, assessing
treatment response and in investigating
neurodegenerative diseases with a special emphasis on AD.
The successful applicant will work under the supervision of the AXA
Research Fund and UPMC Chair,
Prof. Harald Hampel, located at the Institute for Memory and
Alzheimer’s Disease (IM2A) and the Brain & Spine
Institute (Institut du Cerveau et de la Moelle Épinière, ICM), Paris,
the leading French Institute on brain research,
centrally located within the Pitié-Salpêtrière University Hospital –
Charles Foix. The Brain & Spine Institute
(http://icm-institute.org/menu/actualites) is a widely renowned
research centre of excellence of international
dimensions. It brings together motivated scientists from various
horizons and countries in order to develop
innovative and cutting-edge research in the area of Neuroscience.
Research teams work at the Brain & Spine
Institute independently but are strictly interconnected through
cross-disciplinary research programs (both basic
and clinical), thus encouraging the amalgamation of different skills.
The multidisciplinary approach to
Neuroscience (Neurobiology, Neurochemistry, Neurogenetics,
Neuropsychology as well as structural / functional /
diffusion / molecular Neuroimaging) taken by the Brain & Spine
Institute represents a vital and dynamic advance
in research.
Background
There is growing evidence that brain activity supports complex
cognitive function that occurs within large-
scale brain networks rather than within single isolated brain regions.
For the definition of connectivity of brain
activity between brain regions, two major concepts have been applied
(Horwitz, 2003). The first concept refers to
functional connectivity, i.e., the correlation between neuronal
changes within one brain region related to another
(Friston, 1998). Functional connectivity has been applied to explore
the correlative pattern of brain activity (Bokde
et al., 2006; 2001). In contrast, effective connectivity refers to the
causal influence of one brain region’s activity on
another where that direction of influence can be explicitly modelled
(Ramnani et al., 2004). Furthermore, global
[rather than local] network properties may be characterized, using
graph theory to describe the properties of a
network’s architecture in terms of efficiency or connectedness
(Bullmore & Sporns, 2009).
In recent years, more and more centers have successfully begun
employing formal network analyses as
biomarkers of neurodegenerative diseases (Hampel et al., 2014; 2012;
Horwitz & Rowe, 2011). Actually, current
understanding of the effects of focal damage on neural networks is
rudimentary, even though such understanding
could provide greater insight into important neurological and
neurodegenerative diseases (Bokde et al., 2008;
2006). AD is characterized by early, non-linear dynamic, chronically
progressive cellular and molecular2
mechanisms (protein misfolding) leading to neurodegeneration that
translates clinically into multi-domain
cognitive and behavioral decline, psychopathological disturbances with
subsequent loss of function to perform
day-to-day tasks and ultimately total loss of independence. Findings
derived from neuroimaging studies of both
the structural and functional organization of the human brain have led
to the widely supported hypothesis that
neural networks of temporally coordinated brain activity across
different regional brain structures underpin
cognitive function. Thus, a failure of the regions of a network to
interact at a high level of coordination may
underpin progressive cognitive decline which is present in AD (Bokde
et al., 2009).
The breakdown of network function may be due to interaction failure
among the regions of a network,
which is denoted the disconnection hypothesis (Friston, 1998). In
other words, a disruption in the temporal-
spatially coordinated activity among different regions in the brain
rather than isolated changes in specific brain
regions may underlie cognitive impairment in AD. The breakdown is
thought to be due to progressive AD
pathophysiology with underlying molecular mechanisms leading
downstream to neuronal and synaptic
dysfunction and ultimately to neuronal loss. Such AD-characteristic
structural and functional alterations are
hypothesized to reflect at least partially the progressive impairment
of fiber tract connectivity and integrity (Stoub
et al., 2006; Morrison & Hof, 2002), suggesting that the disconnection
in AD is evident at both the functional and
structural level. Notably, the multi-modal nature of networks should
be examined, i.e., both the structural and
functional components that define a network. Given the substantial
changes that the brain undergoes with the
presence of AD-related pathophysiology, these alterations will
manifest themselves not only in the functional and
structural modules but also in how the changes in the two domains
interact with one another (Teipel et al.,
2007a). Neuroimaging biomarkers will need to be developed and analyzed
crossectionally and longitudinally in
terms of underlying brain networks rather than in terms of individual
regions (Horwitz & Rowe, 2011).
Overall, the current discussion on AD argues that it presents in part
a dynamically progressive structural,
functional and metabolic disconnection syndrome that may undergo
distinct stages from potentially reversible
adaptation to functional compensation to irreversible decompensation.
Studies using fMRI (Bokde et al., 2008;
2006) and electroencephalography (Jelles et al., 2008; Babiloni et
al., 2006) demonstrate that synchronicity of
brain activity is altered in AD and correlates with cognitive
deficits. Moreover, recent advances in diffusion tensor
imaging (DTI) to examine white matter microstructural changes have
made it possible to track axonal projections
across the brain, revealing substantial regional impairment in
fiber-tract integrity in AD (Teipel et al., 2011; Teipel
et al. 2007b).
This work will substantially help develop biomarkers for early
detection, prediction and progression of AD
and will support the discovery and validation of markers that map the
effects of disease modifying therapies on
the brain, ultimately providing much needed surrogate biological markers.
Key references
Horwitz B. (2003). Neuroimage 19:466–470.
Friston KJ. (1998). Schizophr Res 30:115–125.
Bokde ALW et al. (2006). Brain 129:1113–1124.
Bokde ALW et al. (2001). Neuron 30:609–617.
Ramnani N. et al. (2004). Biol Psychiatry 56:613–619.
Bullmore E & Sporns O (2009). Nat Rev Neurosci 10:186–198.
Hampel et al. (2014) Biochem Pharmacol 88:426-449.
Hampel et al. (2012) Alzheimers Dement 8:312-336.
Horwitz B & Rowe JB (2011). Prog Neurobiol 95:505-509.
Bokde ALW. et al. (2008). Psychiatr Res Neuroimaging 163:248 259.
Bokde ALW et al. (2009). Prog Neurobiol 89:125–133
Stoub TR et al. (2006). Proc Natl Acad Sci USA 103:10041–10045.
Morrison JH & Hof PR (2002). Prog Brain Res 136:467–486.
Teipel SJ et al. (2007a). Brain 130:1745–1758.
Jelles B et al. (2008). Clin Neurophysiol 119:837–841.
Babiloni et al. (2006). Brain Res Bull 69:63–73.
Teipel SJ et al. (2011) Hum Brain Mapp 32:1349-1362.
Teipel SJ et al. (2007b). Neuroimage 34:985–995.
Requirements
The ideal candidate is expected to have a robust academic and science
background. A preference will be
given to students with profound knowledge in neuroscience,
neuroimaging data analysis, applied mathematics,
biostatistics, or computer science at the master’s level. Candidates
demonstrating competencies on structural
and functional MRI methods, knowledge and experience with MRI-related
data analysis packages (SPM, Matlab,
Freesurfer, AFNI), statistical softwares (e.g., SPSS or R), and
programming skills (e.g.,
MATLAB, Python, C++)
will have a strong advantage. The candidate has to be fluent both in
written and spoken English. The position is
expected to begin in October 2015. Applications should include a full
Curriculum Vitae and a Cover Letter
detailing the applicant’s interest and motivation for this position.
Two letters of academic reference, assessing the
applicant’s skills, research and learning potential, ability to team
work and personality, should be sent
independently by the referees. Applications together with all
documents, including reference letters, should be
submitted electronically to:
e.mirassou-ihu(a)icm-institute.org with reference to “PhD position" in the
E-mail header.
Applications must be received within the 30th of June 2015.
Best,
--
Elodie Mirassou
Assistante du Professeur Harald Hampel, MD, PhD, MA, MSc
AXA Research Fund & UPMC Chair
Sorbonne Universities
Université Pierre et Marie Curie - Paris 6
Institut de la Mémoire et de la Maladie d’Alzheimer &
Institut du Cerveau et de la Moelle épinière (ICM)
Département de Neurologie
Pavillon François Lhermitte
Hôpital Pitié Salpêtrière
47 Boulevard de l’hôpital
75651 Paris CEDEX 13
Phone: + 33 (0) 1 42 16 75 21 (office)
Email: e.mirassou-ihu(a)icm-institute.org
--
Elodie Mirassou
Assistante du Professeur Harald Hampel, MD, PhD, MA, MSc
AXA Research Fund & UPMC Chair
Sorbonne Universities
Université Pierre et Marie Curie - Paris 6
Institut de la Mémoire et de la Maladie d’Alzheimer &
Institut du Cerveau et de la Moelle épinière (ICM)
Département de Neurologie
Pavillon François Lhermitte
Hôpital Pitié Salpêtrière
47 Boulevard de l’hôpital
75651 Paris CEDEX 13
Phone: + 33 (0) 1 42 16 75 21 (office)
Mobile: + 33 (0) 6 95 51 63 55
Email: e.mirassou-ihu(a)icm-institute.org
Email : mirassou.elodie(a)gmail.com
===========================================
12.
Research /Postdoctoral position
Full-Time Regular Position (1.0 FTE)
Start Date: July 1 (negotiable)- Located in Eugene, Oregon
Description of Project: Relation of Consummatory and Anticipatory Food
Reward to Obesity (Project Milkshake) and An fMRI Test of the Dynamic
Vulnerability Model of Obesity: Risk Factor Plasticity (The Chocolate Study)
Purpose of Position: The Research /Postdoc will participate as an active
partner in conceptualizing, designing, and planning neuroimaging
research projects. Participate in ongoing decisions regarding design,
data analysis, data collection, and methodology. Conceptualize and
perform pre-processing and analysis of fMRI data. Assist with running
fMRI scans. Act as co-author or may take a lead role on research
publications. Prepare and present findings at conferences. Suggest,
plan, and implement pilot studies. Collaborate with researchers from
other institutions.
Position Requirements:
I Knowledge, skills and abilities: Demonstrated knowledge of
procedures and protocols for conducting all aspects of fMRI research
projects. Must have a thorough knowledge of the extant literature in
fMRI research. Demonstrated ability to communicate effectively in
writing, as shown by having published articles in professional journals.
Ability to supervise the work of other research staff. Excellent oral
and written communication skills, including public speaking. Ability to
work effectively with diverse people of racial, cultural and ethnic
backgrounds valued. Must have good interpersonal skills. Demonstrated
grant writing ability desirable. Must be able to work flexible hours
and/or increase hours during critical phases of a project.
II Experience and training: Ph.D. in social or behavioral
science with four (4) years of increasingly responsible research
experience with neuroimaging and neuroimaging analysis, or any
equivalent combination of education and experience which provide the
applicant with the knowledge, skill, and ability to perform the job.
Experience in the preparation of manuscripts for publication. Working
knowledge of statistical procedures and program packages to perform fMRI
preprocessing and data analysis. Experience working with individuals
from diverse cultural, ethnic and racial backgrounds valued.
III Personal traits and characteristics: Must be able to work
effectively with others, value working in a collaborative environment.
Successful candidates will be reliable, able to meet project
obligations, and have good self-management skills that enable them to
accomplish activities within project time constraints. Must be able to
interact comfortably with individuals from different socioeconomic
classes and cultures. Must be discreet and willing to adhere to the
principals of confidentiality governing research work and the ORI
computer acceptable use policy.
Apply at http://ori.applicantpool.com/jobs/
Visit our website at http://www.ori.org/
============================================
Dear Users
This Thursday (from 4 pm in B020) Dr. Rebecca Jackson, University of
Manchester, will give a Connectivity Club talk on *"The use of Novel and
Convergent Methodologies to assess Semantic and Default Mode Networks"*.
http://www.manchester.ac.uk/research/rebecca.jackson/personaldetails
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
1.
hD and postdoc positions are available at the Queensland Brain
Institute, University of Queensland, Brisbane, Australia. The research
focus is to understand the functional connectivity using rodent
(especially transgenic mouse) models of diseases with structural,
functional and molecular imaging. Specifically we will examine genetic
mutation dependent change of the connectome and its relationship with
neurotransmission, behaviour and other disease phenotypes. For detail
about the position and application please see:
http://jobs.uq.edu.au/caw/en/job/497432/postdoctoral-research-fellowresearc…
=========================
2.
Two 36 months PhD positions are available in the Cognitive Psychology &
Neuroscience Group (http://webpsy.uni-graz.at/cognitive/) at the
Department of Psychology, University of Graz.
The positions are available immediately (as of 28 May 2015).
The positions are part of the project “Attention and Memory in Overt
Visual Search: Investigating Online Processing of Targets and
Distractors with Fixation-Related Potentials and Fixation Based
Event-Related fMRI Analysis” (PIs C. Körner & A. Ischebeck) funded by
the Austrian Science Fund (FWF).
The project uses combinations of eye tracking and EEG/ERP or fMRI to
investigate the neural basis of target and distractor processing in
visual search with eye movements.
The job requirements are research in the field of Experimental
Psychology and Cognitive Neuroscience as well as publishing in
peer-reviewed scientific journals and presenting results at
international conferences supported by the PIs.
We seek applicants with a master’s degree in Cognitive Neuroscience,
(Experimental) Psychology, or a related field. A solid knowledge in
Experimental Psychology and Cognitive Neuroscience is desirable, as well
as methodological knowledge in the field of either EEG, fMRI or eye
tracking. Strong computer programming and statistical skills are
advantageous.
Salary will be in accordance with FWF regulations
(http://www.fwf.ac.at/en/research-funding/personnel-costs/; gross income
€ 2024.90 p.m.).
Please apply by sending a CV, a short description of your Master’s
Thesis and relevant background, and contact details of a referee to
Christof Körner (christof.koerner [at] uni-graz.at). Direct inquiries
may also be sent to this address. Review of applications will continue
until the positions are filled.
Dr. Christof Körner
Arbeitsbereich Allgemeine Psychologie
Institut für Psychologie, Karl-Franzens-Universität Graz
Universitätsplatz 2, A-8010 Graz, Austria
Phone + 43 - 316 - 380 - 5108
=================================
3.
Applications are invited for a two-year Marie-Curie Fellowship for a
post-doctoral scientist position at the BIND - Behavioral Imaging and
Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara
(Italy). The position is funded by the European project ANDREA - Active
Nanocoated DRy-electrode for Eeg Applications
(http://www.andreaproject.eu;
http://cordis.europa.eu/project/rcn/109927_en.html), whose main
objective is to develop a novel dry electrode EEG system with adjustable
cap network provided with an automated sensor positioning mechanism,
active pre-amplification and a software toolbox for automatic artifacts
removal.
The successful applicant will mainly contribute to the development and
implementation of novel analytical methods for the processing of
electroencephalographic (EEG) signals recorded with prototype EEG
systems developed in the ANDREA project. The developed analytical
methods will be validated within the framework of multimodal and
interdisciplinary studies on the neural correlates of human behavior in
clinical and non-clinical populations.
Candidates with an excellent academic record in computational
neuroscience (or biomedical engineering, or applied physics, or
similar), good programming abilities and a strong background in human
EEG data analysis are welcome to apply. Knowledge of, and/or experience
with, physiological recordings would be a plus. Candidates must be
fluent in spoken and written English, and have good communication and
team work skills. The position is funded for two years, beginning in
Fall 2015. Gross yearly salary will be € 62.361,00 plus €. 11.832,60 for
mobility.
Candidates must fulfill the eligibility criteria foreseen for this
position by the EC: they must have more than 4 and less than 10 years of
research experience, and they must have not resided or having carried
out study or research activities in Italy for a total of more than 12
months during the 3 years immediately preceding the beginning of this
position.
The successful candidate will benefit from the interdisciplinary and
intersectoral environment of the ANDREA Project, as well as from the
state-of-the-art neuroimaging facilities available.
Further information regarding this position and the application
procedures can be obtained by contacting Prof. Silvia Comani, Head of
the BIND Center and Coordinator of the ANDREA Project (comani(a)unich.it).
Deadline for applications: July 13, 2015.
===========================
4.
Postdoctoral Position in the new Motor Control Group at Western
University (PI: Jörn Diedrichsen).
The Motor Control Group at Western University is recruiting 1-2 new
full-time postdoctoral fellows. The laboratory investigates motor skill
learning and motor coordination in the human brain. We use a combination
of experimental and computational methods, ranging from functional
magnetic resonance imaging (with focus on multivariate analysis
techniques), behavioral experiments, neuro-stimulation, and
computational modelling. Applicants with an interest in either basic
neuroscience research of motor control, method development for
functional imaging, and research in clinical applications of motor
control are encouraged to apply. For more information about the lab,
see: http://www.icn.ucl.ac.uk/motorcontrol/.
The laboratory is currently in the process of moving from University
College London to the Brain and Mind Institute Western University
(www.uwo.ca/bmi ), where we will collaborate tightly with the research
groups of Dr. Andrew Pruszynski and Prof. Paul Gribble. Our facilities
at Western include a full range of high and ultra-high field,
research-only, MRI scanners (3T, 7T, and 9.4T), a range of robotic and
recording devices for the study of arm and hand function, and access to
a large neurological patient population in affiliated teaching
hospitals. Cognitive Neuroscience is a key area of research strength at
Western University with more than 25 Principal Investigators and nearly
200 trainees in the Brain and Mind Institute.
A Ph.D. degree in neuroscience, psychology, computer science,
engineering, kinesiology, or related fields is required. Annual salary
will be $42,000 - $46,000 CND, depending on the level of experience.
Initial appointments will be for a period of 2 years, with a possibility
for renewal. Further inquiries and applications including a CV and a
statement of research interest should be sent by email to:
j.diedrichsen(a)ucl.ac.uk. The review of applications will begin on July
15st and continue until the positions are filled.
=============================
5.
A computer scientist position is available with the Neuroimaging
Research for Veterans Center at the Veterans Administration Hospital in
Jamaica Plain, Massachusetts
SALARY RANGE: $64,020.00 to $83,227.00 / Per Year
OPEN PERIOD: Monday, June 8, 2015 to Friday, June 12, 2015
SERIES & GRADE: GS-1550-11
POSITION INFORMATION: Full Time - Term NTE 3 years
DUTY LOCATIONS: 1 vacancy in the following location:
Boston, MA
NOTE: This is a TERM appointment (not-to-exceed 3 years). Term
appointments are non-status, nonpermanent appointments of limited
duration (more than 1 year but not more than 4). Term employees are
eligible to earn leave and generally have the same benefits as permanent
employees including health and life insurance, within-grade increases
and Federal Employees Retirement System and Thrift Savings Plan
coverage. Term appointments may be extended without further competition
(up to the 4 year maximum). The appointment to a Term position does not
confer eligibility for promotion or reassignment to other positions or
the ability to be non-competitively converted to permanent employment.
Employee will be assigned to the Neuroimaging Research For Veterans
Center (NeRVe), VA Boston Healthcare System, Jamaica Plain, MA,
performing life cycle analysis and program management for data
management functions involved in collecting, storing, analyzing, and
sharing clinical and research neuroimaging data through a web-based
system that includes Statistical Parametric Mapping (SPM), Freesurfer,
and/or FMRB (Functional Magnetic Resonance of the Brain) using a variety
of languages such as: C#, SQL, XML, VBSCRIPT, JAVASCRIPT, XSLT, XQUERY,
and Matlab. Duties include, but may not be limited to the following:
Position requires extensive knowledge of Unix/Linux operating systems;
and involves working with researchers to determine their needs; performs
analyses of the research studies and clinical trial protocols to perform
systems analyses for determining the data requirements, design
application and data storage systems and technologies, and complex
issues of data migration/work flow processing that are appropriate for
the storage methods.
Conducts hardware and software analysis; performs cost factors analysis;
analyzes and determines vendor options; and tests vendors' products to
determine their operational effectiveness and efficiency for the NeRVe
requirements.
Performs analysis of clinical trials electric data capture requirements
for screening, randomization, kit assignment, serious adverse events,
data collection, and reporting.
Performs mapping analyses needed to determine data assurance and
security requirements for data migration; determines data backup systems
and protocols needed to support web-based applications and the data
warehouse; and evaluates the researchers' clinical trial data reporting
requirements and determines the actions to implement required changes,
while concurrently ensuring data integrity and information security
assurance throughout the enterprise.
Works closely with Information Resource Management (IRM) personnel to
accomplish systems and program administrative compliance in conjunction
with IRM requirements and security protocols; and educates and trains
new users of the system and helps to troubleshoot and resolve system
problems for all users.
Qualifications:
BASIC EDUCATION REQUIREMENT –Applicants must possess a bachelor's degree
(or higher) from an accredited college or university in computer science
or a bachelor's degree that included 30 semester hours in a combination
of mathematics, statistics, and computer science. At least 15 of the 30
semester hours must have included any combination of statistics and
mathematics that included differential and integral calculus.
(TRANSCRIPT REQUIRED)
SPECIALIZED EXPERIENCE: In addition to meeting the basic education
requirement above, applicants must have at least one (1) year of
specialized experience that equipped them with the knowledge, skill, and
ability to successfully perform the duties of this position, and that is
typically in or related to the work of this position. To be creditable,
this specialized experience must have been equivalent to at least the
GS-9 grade level in the Federal service. Specialized experience
includes: professional positions which primarily involve the application
of, or research into, computer science methods and techniques to store,
manipulate, transform or present information by means of computer
systems. The primary requirements of the work are (a) professional
competence in applying the theoretical foundations of computer science,
including computer system architecture and system software organization,
the representation and transformation of information structures, and the
theoretical models for such representations and transformations; (b)
specialized knowledge of the design characteristics, limitations, and
potential applications of systems having the ability to transform
information, and of broad areas of applications of computing which have
common structures, processes, and techniques; and (c) knowledge of
relevant mathematical and statistical sciences. Knowledge of health
services research; training researchers and clinicians; and working with
Unix/Linux operating systems is also required.
OR
SUBSTITUTION OF EDUCATION FOR EXPERIENCE (TRANSCRIPT REQUIRED): Three
(3) years of progressively higher level graduate education leading to a
Ph.D. degree or Ph.D. or equivalent doctoral degree that provided the
knowledge, skills, and abilities necessary to do the work of this
position is qualifying at the GS-11 level.
OR
COMBINING EDUCATION AND EXPERIENCE (TRANSCRIPT REQUIRED) - Combination
of successfully completed graduate education and experience may be used
to meet total qualification requirements.
You can apply for the position through USA Jobs here-
https://www.usajobs.gov/GetJob/ViewDetails/405836700
==================================
6.
Research Associate Position in Cambridge (UK)
Applicants should have a PhD degree with a strong background in
neuroimaging and neuroscience to join the Drug Addiction Research group
on 1 October 2015 for at least 2 years. The group focuses on functional
and structural brain abnormalities associated with the risk of and
resilience to drug addiction, and the effects that chronic drug exposure
has on the brain.
Proficiency with Python, Matlab, or R languages, and other neuroimaging
analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI
and DTI analyses are expected. In order to maximise the research outputs
from the data, a demonstrated interest in researching, developing,
applying and interpreting novel analysis methods is highly desirable.
Salary
£28,695-£37,394
Category
Human Neuroimaging Research
Reference Number
RN06116
Informal enquiries may be directed to Dr Karen Ersche via email to
ke220(a)cam.ac.uk.
====================================
7.
Postdoctoral studies in advanced functional magnetic resonance imaging
analysis (scholarship; extended application deadline) .
We are seeking a highly talented and enthusiastic researcher with a PhD
in neuroimaging awarded within the past three years to work on projects
in which advanced functional magnetic resonance imaging (fMRI) analysis
methods are applied to the problem of how we perceive our own body in
space. The research will be conducted at the Brain, Body and Self
Laboratory at the Department of Neuroscience (www.ehrssonlab.se). This
center has widespread expertise in fMRI, and the Karolinska Institutet
has two MR-centers with state-of-the-art 3T MR scanners (GE and Siemens,
respectively).
The ideal candidate will have expertise in the acquisition and analysis
of fMRI data, as well as excellent programming skills (preferably
including MatLab and C++). Expertise in multivoxel pattern analysis,
voxel-based receptive field mapping or dynamic causal modeling would be
an advantage, as would an undergraduate education in engineering (or a
related area). The candidate is expected to work on projects in which
advanced fMRI methods are applied to questions relating to how
multisensory signals from the body are integrated at the levels of
cortical and subcortical structures and/or the decoding of body
illusions; however, purely technical projects involving method
development are also possible. Good social skills are important as the
candidate is expected to actively collaborate with other members of the
laboratory, in addition to running his or her own project. Applicants
should be able to demonstrate a consistently good academic record,
including publications in international journals.
For full and and details about the application procedure visit:
https://ki.mynetworkglobal.com/en/what:job/jobID:67803/where:4/
Application deadline: June 30 (extended)
Henrik Ehrsson, M.D., Ph.D.
Professor
Karolinska Institutet
Department of Neuroscience
Brain, Body and Self Laboratory
Adress: Retzius väg 8, SE-17177 Stockholm, Sweden
Phone: +46-(0)852487231
Fax: +46-(0)852487126
Email: Henrik.Ehrsson(a)ki.se
Web: www.ehrssonlab.se
==============================
8.
We would greatly appreciate your help with disseminating the following
PhD opportunity to potential candidates, e.g. suitable Msc students.
It is a fully funded (fees and stipend) cotutelle (50/50) studentship
between Aston and Macquarie and the student will spend 1.5 years at each
site, starting at Aston and with an optional 4th write-up year at Aston
(fees covered for 4 years, stipend for 3 years). Please note that this
studentship is only open to UK/EU and AUS/NZL students but not to
students from other countries. The project will use MEG to investigate
local and global connectivity in autism.
Further information is available here:
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=64012
Many thanks for your help!
Klaus
Professor Klaus Kessler
Aston Brain Centre
School of Life and Health Sciences
Aston University
Aston Triangle
Birmingham, B4 7ET
Phone: +44 (0)121 204 3187
You are cordially invited to the first stand alone symposium of the EMEGS.
The title of the symposium is "*Investigation of resting state
functional connectivity with MEG: **From theory to clinical applications."*
This event will be a unique occasion to be introduced to the theoretical
aspects of MEG resting state functional connectivity and to discover how
recent research and discoveries in this field will lead to potential
future MEG clinical applications.
The symposium will be held at the Hotel Bedford in the centre of
Brussels on Friday 23rd October 2015.
See the attached invitation for more information.
*
*
Attendance will be free
Final program will follow.
*
*
Please, share this invitation with your collaborators who might be
interested by the event.
*
*
We are very much looking forward to welcoming you in Brussels on the
23rd October.
Best regards,
Xavier
*
*
**
**
Dear Users
Rachel Woodall's project presentation, which was scheduled for this
afternoon, has been postponed.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Dear Users
This Thursday (from 4 pm in B020) Rachel Woodall will give an internal
project proposal presentation on "*Assessing visual cortex in candidates
for retinal prothetics*".
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
**
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
1.
PHD-POSITIONS IN COMPUTATIONAL NEUROSCIENCE/BIOLOGY IN OSLO, NORWAY
Several PhD positions are available in the SUURPh (SIMULA-UiO-UCSD)
collaboration: https://www.simula.no/education/suurph-collaboration
PhD-candidates will expectedly spend about 3 years in Oslo (UiO or
SIMULA) and about year at UCSD.
Possible PhD-projects include: modeling of interaction between ion
channels and psychoactive drugs, modeling of memory processing in
hippocampus and entorhinal cortex, modeling of liquid flow in the brain,
biophysical modeling of EEG and MEG signals, biomechanical modeling of
the human brain. For more info on projects see:
https://www.simula.no/suurph-projects
Students interested in becoming a SUURPh fellow should consult the
Applicant's page: https://www.simula.no/students-page.
Here you will find all relevant information and instructions to submit
your application.
**********************************************
Professor Gaute T. Einevoll
Department of Mathematical Sciences and Technology
Norwegian University of Life Sciences, 1432 Aas, Norway;
Department of Physics, University of Oslo, Oslo, Norway
Ph. +47-64965433, Mobile: +47-95124536
email: Gaute.Einevoll(a)nmbu.no, web: compneuro.umb.no, cinpla.org
====================================
2.
Prof Chris Plack and Dr Michael Stone are offering a 3-year fixed term
MRC-funded full time job in the Audiology & Deafness Research Group at
the University of Manchester, UK. Start date is nominally August 1st 2015.
The topic under investigation concerns the diagnosis of, and
implications of, the progression of noise-induced hearing loss in humans.
The advert and further details are listed at :
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=9850
sincerely
----------------------------------------------------------------------------------------------
Dr Michael Stone, Senior Research Fellow in Audiology / Hearing Sciences
A3.16, Ellen Wilkinson Building, University of Manchester, Manchester,
M13 9PL, UK
Tel: +44 161 275 8563, Fax: +44 161 275 3373, www.psych-sci.manchester.ac.uk
===============================
3.
The Rehabilitation Neuroscience Laboratory (RNL) is recruiting a
full-time postdoctoral fellow to join us as early as September, 2015.
This individual will join a highly collaborative and collegial team of
scientists and trainees from diverse backgrounds who are working to
understand the consequences of upper extremity injury, amputation, and
hand replantation/transplantation on human brain organization and daily
living. Requirements include a relevant Ph.D. and/or M.D. degree(s),
and a high level of intrinsic motivation. The successful individual will
have the ability to work independently and collaboratively, and possess
solid computational and computer skills.
Prior experience with EEG is highly desirable for this position.
Likewise, expertise with one or more of the following is a plus:
electromyography, transcranial magnetic stimulation, functional and
structural magnetic resonance imaging.
The RNL is directed by Dr. Scott H. Frey and will relocate to Washington
University School of Medicine in July, 2015. We will have strong
connections with neuro-, behavioral- and clinician-scientists throughout
the university system. The RNL provides a challenging and supportive
environment in which to gain additional training, and has a history of
success in preparing postdoctoral scientists for independent research
careers. Interested individuals are welcome to contact Dr. Frey
directly for additional information at: freys(a)missouri.edu
=================================
4.
Postdoctoral Position in
Neuromuscular Rehabilitation and Neuroimaging
Description:
Applications are now being accepted for a Postdoctoral Fellowship
position at the Human Performance and Engineering Lab at Kessler
Foundation in collaboration with New Jersey Medical School of Rutgers
University. The 2-3 year program prepares biomedical scientists,
including engineers (e.g. biomedical, electrical, rehabilitation),
neuroscientists, kinesiologists, and those in related fields, for a
career in rehabilitation research within the specialty area of
neuromuscular rehabilitation. The successful candidate will work
principally on a 5 year NIH funded research study aimed at investigating
the neurophysiological effect of mental and physical training on
mitigating cancer- and/or cancer treatment-related weakness. The
successful applicant will also be expected to develop his/her own
mentored research project as well as have the opportunity to work on
other projects in neuromuscular rehabilitation in diverse patient
populations including traumatic brain injury, multiple sclerosis, spinal
cord injury and stroke. He/she will work on various aspects of research
projects from inception (e.g., study formulation, grant-writing, etc.),
through dissemination (conference presentation and manuscript
publication). Opportunities of collaborating with clinicians on existing
or future clinical research are also available. All fellows participate
in an extensive training curriculum and didactic offerings.
Multidisciplinary mentored training opportunities are individually
tailored to achieve specific goals considering each fellow’s prior
background and interests.
Principal Investigator: Dr. Guang Yue, Ph.D.
Qualifications:
· Applicants with specific interests and/or experience in the
following areas: Neuromuscular rehabilitation; biomedical signal
processing (e.g., EEG, TMS and EMG); brain and muscle electrophysiology;
functional and structural MRI.
· Qualified candidates must have an earned doctorate in biomedical
engineering, neuroscience, kinesiology or a related field with a
background in signal processing or/and image processing (EEG, MRI,
fMRI). Working knowledge of at least one programming language is mandatory.
· Preferences will be given to candidates with expertise in Matlab
programming as well as image processing software such as EEGLAB, FSL, AFNI.
· Strong candidates will have prior experience in performing
research studies in human subjects, as well as some history of
publication and presentation of original research.
· Additional desirable skills and experience include: experience
with EEG/EMG data collection and analysis, biomedical instrumentation,
ability to independently develop data processing/analysis methods,
knowledge of statistical data analysis, and excellent written
communication skills.
Kessler Foundation and the Fellowship program
The Kessler Foundation Research Center is a division of Kessler
Foundation, a public charity that advances its mission of improving the
lives of people with disabilities through research and grant-making
programs. The Kessler Foundation Research Center is affiliated with the
renowned Kessler Institute for Rehabilitation in West Orange, New Jersey
and enjoys close collaborations with partners at the New Jersey
Institute of Technology, Rutgers University, Seton Hall University, New
York University, and the University of Delaware. Kessler Foundation is
one of the few rehabilitation institutions in the United States who has
a research dedicated state-of-the-art 3T Siemens MRI system at the Rocco
Ortenzio Neuroimaging Center. This offers unique research opportunities
and training in neuroimaging. Applicants are encouraged to visit the
Foundation website (http://www.kesslerfoundation.org/research/) to learn
about the missions, activities, and resources and its laboratories, in
particular the Human Performance and Engineering Lab.
Administration of the ARRT fellowships occurs under the Department of
Physical Medicine and Rehabilitation at the New Jersey Medical School of
Rutgers University in Newark. As such, fellows enjoy the benefits and
academic resources available to all post-doctoral fellows at the Medical
School. Fellows may also be recommended for an academic appointment at
the rank of Instructor.
How to apply
To apply, please send your (1) CV, (2) a cover letter summarizing
relevant research expertise, experience and interest to Dr. Allexandre
at dallexandre(a)kesslerfoundation.org. Please include the reference
number “HPEL01-FSL” in your application.
APPLICATION DEADLINE: 6/30/2015 or until filled
We are equal opportunity employers.
==========================================
5.
Urgent : Opening of an MRI Research engineer position
The Marseilles' fMRI Centre (http://irmfmrs.free.fr), a neuroimaging
platform belonging to the Institut des Neurosciences de La Timone
(http://www.int.univ-amu.fr/), is opening an MRI Research Engineer
position. This opportunity has been made possible due to the acquisition
of a new ultra-high gradient 3T MRI scanner and its installation in the
European Centre for Research in Medical Imaging (CERIMED), a new
platform for multi-modality, multi-species in-vivo imaging. The
engineer’s main responsibilities will be to help with the installation
of the new 3T MRI scanner (Siemens Prisma, installation planned for
November 2015) and to set-up, implement and validate the most recent MRI
acquisition methods, which will underpin competitive research projects
on structural and functional neuro-imaging protocols.
The successful candidate will have a PhD and/or an Engineering diploma:
a biomedical physicist or an engineer specialised in MRI and clinical
imaging. See the detailed profile of the position at the end of this email.
Recruitment date: 1st of October 2015
Contract duration: 12 months, renewable.
Net salary: 23.160 – 26.800 Euros / year, depending on experience (plus
full social benefits)
Application closing date: June, 30th 2015
The application should contain a letter of motivation, a complete
Curriculum Vitae and references.
For administrative purposes, the CV should also specify details about
previous contracts : employers, start and end dates, type of contract
(temporary / permanent, public / private).
Information requests and applications should be addressed to :
Jean-Luc.Anton(a)univ-amu.fr and Pascal.Belin(a)univ-amu.fr
--
Jean-Luc Anton
________________________________________________________
Centre de recherche en IRM fonctionnelle cérébrale (Marseille)
Email : Jean-Luc.Anton(a)univ-amu.fr
Tel. : (33) (0)4 91 38 47 56
Web : http://irmfmrs.free.fr
________________________________________________________
JOB DESCRIPTION : MRI Research engineer
Laboratory
Code unit: UMR7289
Name of Unit: Centre IRMf, Institut de Neurosciences de la Timone
UMR7289 CNRS & AMU
Director: Guillaume MASSON
Address: Faculté de Médecine de la Timone 27 Bd Jean Moulin 13005 Marseille
Localisation of position: Marseille, FRANCE
Responsibilities
The MRI Research Engineer will be responsible for the set-up,
implementation and validation of MRI acquisition methods necessary for
the realisation of structural (high-resolution anatomical, diffusion)
and functional neuro-imaging protocols. He/she is responsible for the
proper functioning of the 3T MR system in liaison with the manufacturer.
He/she will contribute to the set-up of the processing pipeline included
in the services offered by the fMRI Centre.
Duties
* Perform initial tests, reception and set-up of the new 3T MR system in
close relationship with the manufacturer to enable an efficient restart
and fully functional follow-up.
* Examine the needs of researchers in integrative and cognitive
neurosciences relative to their research objectives. Evaluate and
propose the most appropriate imaging techniques and methods.
* Organise the choice, set-up, implementation and validation of MR
acquisition methods in human and non-human primates, while encouraging
scientific collaboration with the manufacturer, partner laboratories and
neuroimaging platform networks.
* Pilot, interpret and validate measures for their scientific exploitation.
* Supervise R&D research work in MR physics and its application to
neuroimaging.
* Keep up-to-date with technical advances in MR physics, its
applications, acquisition protocols and advanced neuroimaging analysis
methods.
* Present, distribute results.
* Supervise safe practice procedures. Study risks associated with
hardware: train users on risks associated with MRI.
* Contribute to the exploitation of scientific data by setting up tools
for organizing data processing.
* Supervision: yes
* Project leading: yes
Skills
Ph.D. and/or Engineering diploma: a biomedical physicist or an engineer
specialised in MRI and clinical imaging.
The applicant will have a good knowledge of:
* MR Physics :
- Acquisition sequences
- Reconstruction algorithms
- MR hardware (RF-coils, gradient system)
* Analysis and validation of data quality
* Processing and analysis of cerebral MR images
* Software development tools
* Office software tools
* Scientific and technical English
Abilities
* To understand cognitive and integrative neuroscience protocols in
humans and non-human primates
* To propose pertinent acquisition solutions adapted to the capabilities
of the 3T MR system, which emphasize collaborative links with the
manufacturer and the Centre’s partner laboratories.
* To work in a multidisciplinary environment at the interface of a
variety of scientific and technological domains
Context and working environment
The Marseilles' fMRI Centre (http://irmfmrs.free.fr/) is a neuroimaging
platform belonging to the Institut des Neurosciences de La Timone
(http://www.int.univ-amu.fr/), affiliated to the CNRS and Aix-Marseille
University. It provides neuroscientists, psychologists and clinicians
with magnetic resonance imaging (MRI) services and is involved in
clinical, fundamental and methodological research as well as technical
development through collaboration with local, national and international
research groups, and has strong involvement in training and teaching.
The fMRI Centre operates a 3 Tesla MR system fully dedicated to
neuroscience and psychology research in human and non-human primates,
equipped with high-end stimulation and recording systems. The Centre is
run by two CNRS Research Engineers (Drs Jean-Luc Anton and Bruno
Nazarian) and a Scientific Director from Aix-Marseille University (Dr
Pascal Belin).
The fMRI Centre is currently engaged in an ambitious new development,
with the ongoing purchase of the latest-generation, research-oriented 3T
scanner equipped with ultra-high gradients and state-of-the art RF
systems, and a move to the recently inaugurated European Centre for
Research in Medical Imaging (CERIMED, http://cerimed-web.eu/), a new
platform for multi-modality, multi-species in-vivo imaging on the La
Timone campus, where the new scanner (Siemens Prisma) will be installed
in November 2015. These developments are actively supported by
Aix-Marseille University, CNRS and the France-Life Imaging infrastructure.
In the context of these developments, the fMRI Centre is recruiting an
MRI Research Engineer, who will have three tasks. First he/she will
participate in the reception and set-up of the new scanner, in liaison
with the manufacturer, and will gauge technical requests from scientific
users to ensure the most efficient restart and development of scanning
activities.
Second, in order to best exploit the strong potential of the
latest-generation 3T system, the engineer will implement, parametrize,
test and validate the most recent acquisition sequences (multi-band EPI,
local quantification of micro-structures, …) to enable and contribute to
competitive scientific projects involving, e.g., high-resolution EPI and
DTI, imaging in non-human primates, and foetuses. The engineer will play
a leading role in the scientific partnership with the manufacturer, with
partner laboratories (CRMBM, Neurospin, Maastricht, MGH, ...) and with
the national and international networks of neuroimaging platforms
(CENIR, CERMEP, ...).
Third, in interaction with the other engineers of the Centre and
CERIMED, the engineer will contribute to the development of the services
offered by the Centre in terms of data organization (set-up of
databases) and data pre/post-processing (set-up of processing tool
pipelines).
===============================
6.
Applications are invited for a two-year Marie-Curie Fellowship for a
post-doctoral scientist position at the BIND - Behavioral Imaging and
Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara
(Italy). The position is funded by the European project ANDREA - Active
Nanocoated DRy-electrode for Eeg Applications
(http://www.andreaproject.eu;
http://cordis.europa.eu/project/rcn/109927_en.html), whose main
objective is to develop a novel dry electrode EEG system with adjustable
cap network provided with an automated sensor positioning mechanism,
active pre-amplification and a software toolbox for automatic artifacts
removal.
The successful applicant will mainly contribute to the development and
implementation of novel analytical methods for the processing of
electroencephalographic (EEG) signals recorded with prototype EEG
systems developed in the ANDREA project. The developed analytical
methods will be validated within the framework of multimodal and
interdisciplinary studies on the neural correlates of human behavior in
clinical and non-clinical populations.
Candidates with an excellent academic record in computational
neuroscience (or biomedical engineering, or applied physics, or
similar), good programming abilities and a strong background in human
EEG data analysis are welcome to apply. Knowledge of, and/or experience
with, physiological recordings would be a plus. Candidates must be
fluent in spoken and written English, and have good communication and
team work skills. The position is funded for two years, beginning in
Fall 2015. Gross yearly salary will be € 62.361,00 plus €. 11.832,60 for
mobility.
Candidates must fulfill the eligibility criteria foreseen for this
position by the EC: they must have more than 4 and less than 10 years of
research experience, and they must have not resided or having carried
out study or research activities in Italy for a total of more than 12
months during the 3 years immediately preceding the beginning of this
position.
The successful candidate will benefit from the interdisciplinary and
intersectoral environment of the ANDREA Project, as well as from the
state-of-the-art neuroimaging facilities available.
Further information regarding this position and the application
procedures can be obtained by contacting Prof. Silvia Comani, Head of
the BIND Center and Coordinator of the ANDREA Project (comani(a)unich.it).
Deadline for applications: July 13, 2015.
=======================
7.
Research Associate Position in Cambridge (UK)
Applicants should have a PhD degree with a strong background in
neuroimaging and neuroscience to join the Drug Addiction Research group
on 1 October 2015 for at least 2 years. The group focuses on functional
and structural brain abnormalities associated with the risk of and
resilience to drug addiction, and the effects that chronic drug exposure
has on the brain.
Proficiency with Python, Matlab, or R languages, and other neuroimaging
analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI
and DTI analyses are expected. In order to maximise the research outputs
from the data, a demonstrated interest in researching, developing,
applying and interpreting novel analysis methods is highly desirable.
Closing date 15 June 2015 Start date 01 October 2015 Website
http://www.jobs.cam.ac.uk/job/7027/
Salary
£28,695-£37,394
Category
Human Neuroimaging Research
Reference Number
RN06116
Informal enquiries may be directed to
Dr Karen Ersche via email to ke220(a)cam.ac.uk.
===============================
8.
Open position: PhD in multimodal imaging of the vulnerability to develop
schizophrenia
OFFICE MEDICO-PEDAGOGIQUE, Laboratoire de neurosciences et neuroimagerie
en psychiatrie de l’enfant et de l’adolescent
Starting date: October 1st 2015
Working environment: In the context of a longitudinal study started 10
years ago, we perform a multidisciplinary evaluation of patients with
the 22q11.2 deletion syndrome, a neurogenetic condition that confers a
high risk of developing schizophrenia. Our protocol includes MRI
acquisitions of structural, functional and diffusion images and their
analysis with gold-standard neuroimaging tools. By investigating
morphological and connectivity alterations associated to the
microdeletion and to the onset of psychotic symptoms, we aim at
identifying potential biomarkers for the development of schizophrenia.
Tasks of the PhD student: To work in collaboration with clinical and
engineering departments for the development and application of new
methodologies, to analyze complex multimodal and longitudinal fMRI data,
to participate at MRI data acquisition, manuscripts writing.
Methods employed in the lab: Cortical morphometry (thickness,
gyrification), voxelbased DTI, tractography, resting-state fMRI, graph
theory, pattern recognition, multivariate pattern analysis (MVPA).
Toolboxes employed in the lab: Matlab, SPM, FSL, FreeSurfer,
connectomemapper.
Academic requirements: Master in medicine, psychology, biology,
sciences, mathematics, engineering, neurosciences or equivalent title.
Expertise in brain imaging and/or programming is not mandatory but
highly preferred.
Contact: The candidature (motivation letter, CV, copy of the diploma and
graduations, possibly letter of recommendation) has to be sent
preferentially by email by the 21st of June to the following addresses:
Maria Carmela PADULA: maria.padula(a)unige.ch
Elisa SCARIATI: elisa.scariati(a)unige.ch
https://www.unige.ch/medecine/psyat/fr/groupes-de-recherche/stephan-eliez/
===========================
9.
I would like to bring the following post to your attention:
Research Fellow in Developmental Cognitive Neuroscience at the
University of Southampton (UK)
We are seeking a Research Fellow to start in August 2015 or soon
thereafter. The post is funded for one year in the first instance, but
with the possibility of extension. The aim of the project, which is a
multi-site study funded by the EU, is to investigate sex differences in
antisocial behaviour in children and adolescents using functional and
structural neuroimaging, genetic, psychophysiological, and
neuropsychological methods.
Experience with fMRI data collection and analysis (including functional
and effective connectivity methods) is highly desirable, but we would
also consider candidates with expertise in structural MRI or DTI data
analysis. The project has been running for two years and half of the
overall dataset has been collected already, so the successful applicant
would be able to start analysing functional and structural MRI data and
preparing papers for submission straight away. The closing date for
applications is the 26th June 2015.
For further information about the post, and to apply via the University
of Southampton’s application system, please see here:
https://www.jobs.soton.ac.uk/Vacancy.aspx?ref=575415JW
Please feel free to contact me with informal enquiries about the post or
the project at: g.f.fairchild(a)soton.ac.uk<mailto:g.f.fairchild@soton.ac.uk>
Thanks for your attention,
- Graeme Fairchild
Dr Graeme Fairchild
Associate Professor in Clinical Psychology
Academic Unit of Psychology
University of Southampton
Shackleton Building
Highfield Campus
Southampton SO17 1BJ
United Kingdom
Office tel: +44 (0) 2380 593843
Mobile tel: +44 (0) 7748 062553
www.psychology.soton.ac.uk
======================
10
Our lab (www.ccnlab.net) recently received funding for a PhD and postdoc
position at the interface between machine learning (deep learning,
Bayesian modeling, computational linguistics) and neuroscience:
http://www.ru.nl/english/working/job-opportunities/details/details-vacature…http://www.ru.nl/english/working/job-opportunities/details/details-vacature…
The positions deal with the development of new computational models to
probe how naturalistic representations are encoded across the cortical
surface.
For the PhD position, we are looking for candidates with a Master’s
degree in cognitive (neuro)science, computational neuroscience or a
related area of research. Candidates should have excellent programming
skills, a strong mathematical background and prior experience with
acquisition of neural data.
For the postdoc position, we are looking for candidates with a PhD
degree in machine learning, artificial intelligence, computational
neuroscience, applied mathematics or a related area of research.
Candidates with a degree in cognitive neuroscience and a strong
mathematical background would also be eligible.
Start of the project is negotiable but preferably September 2015.
---------------