Dear all,
We are readvertising our ad for a PhD position working with our team at
the Department of Psychiatry at the VU University Medical Center in
Amsterdam, The Netherlands on projectsemploying advanced computational
and statistical methods to evaluate the prognostic value of neuroimaging
modalities, biomarker, genetic, environmental and clinical
characteristics and their combination to classify the course of
depression and anxiety.
For details please see below and attached. Please liberally forward to
possibly interested candidates or people that might know suitable
candidates. Deadline for applications is December 1, 2014.
Best wishes,
Lianne Schmaal
--
Lianne Schmaal, PhD
Post-doctoral researcher
GGZ inGeest/Department of Psychiatry
VU University Medical Center
P.O. Box 74077
1070 BB Amsterdam
The Netherlands
Tel: +31-207884592
email: lianschmaal(a)gmail.com <mailto:lianschmaal@gmail.com>,
l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl>
-----------------------------------------------------------
*The project*
The focus of the proposed PhD project is two-fold;
First, the PhD student will will employ advanced computational and
statistical methods to evaluate the prognostic value of neuroimaging
modalities, biomarker, genetic, environmental and clinical
characteristics and their combination to classify the course of
depression and anxiety.
A second part of the project focuses on employing these methods to
disentangle phenotypic heterogeneity of depression by identifying
different subtypes based on a rich set of neuroimaging and clinical data
and biological protein information, and by exploring the genetic basis
of different subtypes and their association with course of depression
and treatment response.
For these purposes, you will work with data from the Netherlands Study
of Depression and Anxiety (www.nesda.nl <http://www.nesda.nl>) in which
an extensive battery of detailed longitudinal clinical, biomarker,
neuroimaging and genetic data have been collected in a large cohort.
You will also work with similar data from other international cohorts,
and with data from the MOTAR study (www.motar.nl <http://www.motar.nl>)
in which the effects of antidepressant and running treatments are examined.
This project will integrate across these data-sources using a variety of
methods, including the application of supervised and unsupervised
machine learning techniques. You will be involved in the processing of
neuroimaging data (structural MRI, functional MRI), associating these
data with biomarker, clinical and genetics information and using machine
learning methods to classify the patients.
You will be working in a multidisciplinary team with young and
enthusiastic researchers, who have expertise in psychiatry, genetics,
neuroimaging, statistics/engineering and epidemiology.
**
*Your challenge *
As a PhD Student your main tasks and responsibilites are:
* Help examine predictors of the naturalistic course and treatment
response in depression and anxiety;
* Identifying subtypes of depression and anxiety based on multimodal
data sources;
* Apply unsupervised and supervised machine learning methods, such as
Support Vector Machine and/or probabilistic methods, to genetic,
multi-modal neuroimaging, clinical and environmental data from the
NESDA study, the MOTAR study and other international cohorts;
* Write various scientific papers on the above topics, and complete
your research with a PhD thesis.
**
*Your profile*
We are looking for a highly motivated and enthusiastic researcher with a
strong interest in psychopathology who has the following background and
experience:
* A strong numerate background (i.e. a Master's degree in computer
science, mathematics, (medical) informatics or technology,
engineering, medical image analysis or related discipline),
preferably with emphasis on machine learning, pattern
classification, and/or multivariate image analysis;
* Experience with neuroimage analysis or with (bio) statistics is
desirable;
* You have excellent statistical and strong computer programming
skills (good command of LINUX, scripting, and Matlab);
* You have excellent communications skills in English, both written
and verbal;
* Having experience in writing (international) publication(s) is a plus.
**
*Benefits*
Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR
2.818 gross per month in the fourth year, based on 36 hours per week).
We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For more
information about our fringe benefits, please visit
http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/ (Dutch version).
The PhD position is for four years, you will start with a contract for
12 months.
**
*Additional information*
The Department of Psychiatry of the VU University Medical Center (VUMC)
and GGZ inGeest collaborately conduct research, education and academic
patient care. The main focus is on depression and anxiety disorders, two
common psychiatric disorders with high public health impact. Psychiatric
research is embedded in two VU research institutes: EMGO+ and
Neuroscience Campus Amsterdam. In this research area more than 150
persons from different disciplines (e.g. psychiatry, psychology, health
science) collaborate.
**
*Interested?*
For more information about position or the application procedure you can
contact Dr. Lianne Schmaal, via telephone number: +31(0)20 – 788 4592 or
email: l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl>.
Please submit your candidacy by latest December 1, 2014 by emailing your
CV and motivation letter to Dr. Lianne Schmaal: l.schmaal(a)ggzingeest.nl
<mailto:l.schmaal@ggzingeest.nl>
On 26 August 2014 15:21, lianne schmaal <lianschmaal(a)gmail.com
<mailto:lianschmaal@gmail.com>> wrote:
Dear all,
We are seeking talented candidates for a PhD position working with
our team at the Department of Psychiatry at the VU University
Medical Center in Amsterdam, The Netherlands.
For details please see below. Please liberally forward to possibly
interested candidates. Deadline for applications is September 7, 2014.
Best wishes,
Lianne Schmaal
-----------------------------------------------------------
*The project*
The focus of the proposed PhD project is two-fold;
First, the PhD student will will employ advanced computational and
statistical methods to evaluate the prognostic value of neuroimaging
modalities, biomarker, genetic, environmental and clinical
characteristics and their combination to classify the course of
depression and anxiety.
A second part of the project focuses on employing these methods to
disentangle phenotypic heterogeneity of depression by identifying
different subtypes based on a rich set of neuroimaging and clinical
data and biological protein information, and by exploring the
genetic basis of different subtypes and their association with
course of depression and treatment response.
For these purposes, you will work with data from the Netherlands
Study of Depression and Anxiety (_www.nesda.nl_
<http://www.nesda.nl>) in which an extensive battery of detailed
longitudinal clinical, biomarker, neuroimaging and genetic data have
been collected in a large cohort.
You will also work with similar data from other international
cohorts, and with data from the MOTAR study (_www.motar.nl_
<http://www.motar.nl>) in which the effects of antidepressant and
running treatments are examined.
This project will integrate across these data-sources using a
variety of methods, including the application of supervised and
unsupervised machine learning techniques. You will be involved in
the processing of neuroimaging data (structural MRI, functional
MRI), associating these data with biomarker, clinical and genetics
information and using machine learning methods to classify the
patients.
You will be working in a multidisciplinary team with young and
enthusiastic researchers, who have expertise in psychiatry,
genetics, neuroimaging, statistics/engineering and epidemiology.
*Your challenge *
As a PhD Student your main tasks and responsibilites are:
• Help examine predictors of the naturalistic course and
treatment response in depression and anxiety;
• Identifying subtypes of depression and anxiety based on
multimodal data sources;
• Apply unsupervised and supervised machine learning methods,
such as Support Vector Machine and/or probabilistic methods, to
genetic, multi-modal neuroimaging, clinical and environmental data
from the NESDA study, the MOTAR study and other international cohorts;
• Write various scientific papers on the above topics, and
complete your research with a PhD thesis.
*Your profile*
We are looking for a highly motivated and enthusiastic researcher
with a strong interest in psychopathology who has the following
background and experience:
• A strong numerate background (i.e. a Master's degree in
computer science, mathematics, engineering, medical image analysis
or related discipline), preferably with emphasis on machine
learning, pattern classification, and/or multivariate image analysis;
• Experience with neuroimage analysis or with (bio) statistics
is desirable;
• You have excellent statistical and strong computer
programming skills (good command of LINUX, scripting, and Matlab);
• You have excellent communications skills in English, both
written and verbal;
• Having experience in writing (international) publication(s)
is a plus.
*Benefits*
Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR
2.818 gross per month in the fourth year, based on 36 hours per week).
We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For
more information about our fringe benefits, please visit
_http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/_ (Dutch
version). The PhD position is for four years, you will start with a
contract for 12 months.
*Additional information*
The Department of Psychiatry of the VU University Medical Center
(VUMC) and GGZ inGeest collaborately conduct research, education and
academic patient care. The main focus is on depression and anxiety
disorders, two common psychiatric disorders with high public health
impact. Psychiatric research is embedded in two VU research
institutes: EMGO+ and Neuroscience Campus Amsterdam. In this
research area more than 150 persons from different disciplines (e.g.
psychiatry, psychology, health science) collaborate.
*Interested?*
For more information you can contact dr. Lianne Schmaal, via
telephone number: +31(0)20 – 788 4592
<tel:%2B31%280%2920%20%E2%80%93%20788%204592>.
For more information about the application procedure you can contact
mr. Wessel Haytink, recruiter, via telephone number: +31(0)6 – 1066
7718.
Please submit your candidacy by latest *September 7, 2014*
with reference number D2.2014.00077WH via the following link:
_http://bit.ly/PhDMachineLearning_
-----------------------------------------------------------
--
Lianne Schmaal, PhD
GGZ inGeest/Department of Psychiatry
VU University Medical Center
P.O. Box 74077
1070 BB Amsterdam
The Netherlands
Tel: +31-207884592 <tel:%2B31-207884592>
email: lianschmaal(a)gmail.com <mailto:lianschmaal@gmail.com>,
l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl>
Hi,
Due to MSc Cognitive Neuroscience induction sessions, YNiC Open Plan
will be unavailable for users on:
* Wednesday 8th October (Tomorrow) 1000-1200
* Wednesday 22nd October 1000-1200
Most MSc teaching at YNiC happens in the Spring term - we'll send around
more details of these times once they are finalised.
Thanks,
Mark
--
Mark Hymers, York Neuroimaging Centre
Please note that my email address is: mark.hymers(a)ynic.york.ac.uk
Responses to messages sent to other addresses may be delayed
We, the Neuropsychology lab at the University of Oldenburg/ Germany
(head: Stefan Debener) are offering a 2-year postdoc position. For more
details please follow the link:
http://www.uni-oldenburg.de/stellen/?stelle=63733
Best, Conny
Dear Colleagues
Please see the email below from Edwin Hancock about a seminar on the
mathematics of connectivity in a network. Could be very relevant for
those of you interested in brain connectivity
Gary
---------------
Gary Green
-------- Original Message --------
Subject: Ernesto Estrada Seminar
Date: Thu, 02 Oct 2014 21:42:32 +0100
From: Edwin Hancock <edwin.hancock(a)york.ac.uk>
To: Gary Green <gary.green(a)york.ac.uk>
Hi Gary,
Ernesto is giving a seminar at 1400 on Weds 8th Oct in CS. He is talking
about communicability
in networks, probably of interest to the Connectivity Club. Lively
speaker who is very influential
in the complex nets area:
http://www.cs.york.ac.uk/research/research-seminars/abstracts2014-15/
Please publicise.
E.
--
---------------------------------------------------------`
Professor Edwin Hancock D.Sc., FIAPR, FInstP, FIET, FBCS,
Royal Society Wolfson Research Merit Award Holder,
Professor of Computer Vision and Head CVPR Group,
Department of Computer Science,
University of York,
Deramore Lane,
York YO10 5GH, UK.
email: erh(a)cs.york.ac.uk
URL: http://www.cs.york.ac.uk/~erh
UoY Research
Portal:http://pure.york.ac.uk/portal/en/edwin.hancock@york.ac.uk
Tel: 44 (0) 1904 325497
Dear Users
This Thursday (from 4 pm in B020) David Watson will be giving a project
proposal presentation on "A hypothesis- and data-driven investigation
into the role of low-level visual cues in scene processing".
Abstract:
Human ventral visual cortex has been noted to contain regions showing
selectivity for scenes, including the Parahippocampal Place Area (PPA),
Retrosplenial Complex (RSC), and Occipital Place Area (OPA). Here we
propose two fMRI experiments investigating the role of low-level visual
properties in the representation of scenes within such regions. In the
first case we propose a hypothesis driven experiment investigating how
neural representations of scenes are affected by disruptions to the
local statistics of the images. In the second case we aim to measure the
neural response to “clusters” of scenes defined using an entirely
data-driven approach based upon the relative similarity of their image
properties. In both cases multivariate pattern analysis (MVPA) will be
used to investigate how such manipulations influence the representation
of scenes in the human brain.
Everyone is welcome to attend and refreshments will be served afterwards.
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
Postdoc / RA job ad: structural image analysis for the dHCP
<https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs…>
See
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobs…
Graduate/Postdoctoral Researcher - Image Analysis and Software for
Connections
Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital,
Headington, Oxford
Grade 7: £30,434 - £37,394 with a discretionary range to £40,847 p.a.
The Centre for Functional Magnetic Resonance Imaging of the Brain
(FMRIB) seeks a graduate or postdoctoral researcher/programmer to work
with Professors Mark Jenkinson and Stephen Smith in the FMRIB Analysis
Group. Employment would ideally start in November/December 2014, is
fixed-term and funded by the European Research Council for a period of 3
years in the first instance, as part of the Developing Human Connectome
Project (dHCP). The dHCP is a collaboration between King’s College,
FMRIB and Imperial College and will chart the growth of connections in
the human brain, before (in utero) and after birth in 1000 babies using
diffusion and functional MRI.
The postholder will work on the “structural” aspects of connectome
modelling, including the spatial modelling of cortical surfaces, as well
as developing analysis pipelines (software development and scripting)
for the overall analysis of the dHCP connectome image data. This will
also involve porting connectome analysis pipelines from the US-based
Human Connectome Project to the dHCP, and interacting with the
structural image processing research and informatics that will be
carried out at Imperial as part of the dHCP. Candidates should have
skills in computer programming (ideally shell scripting, Matlab and
C++), and ideally also experience with image analysis research/programming.
For an outline of the lab's research interests and links to further
information see Research/Analysis Group
<http://www.ndcn.ox.ac.uk/research/analysis-group> and FMRIB
<http://www.fmrib.ox.ac.uk/>.
For more dHCP information (including vacancies in the other dHCP groups)
see DevelopingConnectome.org <http://www.developingconnectome.org/>.
The closing date for applications is 12.00 noon on 31 October 2014.
Contact Person :
Vacancy ID : 115362
Contact Phone :
Closing Date : 31-Oct-2014
Contact Email : hr(a)ndcn.ox.ac.uk
<mailto:hr@ndcn.ox.ac.uk?subject=Graduate/Postdoctoral%20Researcher%20-%20Image%20Analysis%20and%20Software%20for%20Connections>
The University of Southern California Imaging Genetics Center (http://igc.ini.usc.edu) - part of the Institute for Neuroimaging and Informatics - in Marina del Rey, California is looking for a talented postdoctoral researcher with experience in neuroimaging. Duties will focus on analyzing existing MRI scans to investigate how growth factors, inflammation, and genetic variants relate to brain structure and function, particularly in regions vulnerable to Alzheimer’s disease. The successful applicant will have a Ph.D. or equivalent in bioengineering, neuroscience, or a related field. An excellent publication record, solid experience analyzing MRI data, and a working knowledge of FSL, Freesurfer (or similar software), Matlab, and Unix are strongly preferred. Experience with brain aging research is desirable.
To apply or to gain more information, please e-mail Dr. Meredith Braskie (meredith.braskie(a)ini.usc.edu) with your cover letter and CV.
·*_Two Postdoctoral positions for Neuroimaging of Brain Development in
nonhuman primates at Emory University_**:*
Two postdoctoral positions are opened at Emory University (Yerkes
National Primate Research Center –YNPRC- and Dept. of Psychiatry) to do
developmental Neuroimaging research in rhesus monkeys. Studies involve
analyses of typical and atypical brain development of infant rhesus
monkeys living in social groups at the YNPRC as part of two different
projects:
- “Stress and obesity synergize to impair neurobehavioral development in
females” (RO1 HD077623-01). /Goal of this project:/ To examine the
synergistic effects of social stress and obesity on neural and
behavioral development of female rhesus monkeys, from birth through
puberty.
-“Emory Autism Center of Excellence: “Mechanisms of Risk and Resilience
in Autism Spectrum Disorder: Ontogeny, Phylogeny and Gene Disruption.
Project 5” (P50 MH100029). /Goal of Project 5:/ To examine development
of nonhuman primate social neural circuits of relevance to Autism
Spectrum Disorder(ASD)-related social deficits.
Both postdoctoral positions are to participate in prospective,
longitudinal studies of development of neural circuits involved in
social and emotional regulation and stress reactivity in macaques, using
neuroimaging approaches (structural MRI, diffusion tensor imaging –DTI-
and resting state functional MRI).
__
_Requirements_:
PhD in Neuroscience, and/or background in Biomedical Engineering,
Psychology, Computer Science. Experience with neuroimaging techniques
(resting state functional MRI and/or Diffusion Tensor Imaging –DTI-) is
required, preferably applied to study nonhuman primate brain. Additional
knowledge of macaque neuroanatomy and development is preferred.
Experience using FSL and related programs; strong computational and
programming skills (e.g. in Matlab, Unix command line scripting, C++,
Python); independence; previous experience and interest in projects
involving multidisciplinary and inter-institutional collaborations.
__
_Materials needed_:
CV, Summary of Research Interests and three letters of recommendation.
__
_Contact information_:
If interested, please submit these materials to:
Mar Sanchez, Ph.D.
Associate Professor
Dept. of Psychiatry & Behavioral Sciences
School of Medicine
and
Affiliate Scientist
Yerkes National Primate Research Center
Emory University
mmsanch(a)emory.edu <mailto:mmsanch@emory.edu>
**
·*_One Research Specialist position (IMAGING ANALYST) is open at Emory
University:_*
A full-time *_Imaging Analyst_*__position is opened at Emory University
(Yerkes National Primate Research Center –YNPRC- and Dept. of
Psychiatry) to do developmental Neuroimaging research in nonhuman
primates. The position involves processing and analysis of brain imaging
data, including structural MRI, diffusion tensor imaging (DTI) and
resting state functional MRI datasets.
The position involves participation in prospective, longitudinal studies
of development of neural circuits involved in social and emotional
regulation and stress reactivity in macaques, using those neuroimaging
modalities.
_Requirements_:
Bachelor’s degree in a scientific discipline (including Biomedical
Engineering or Computer Science). Background in brain imaging data
processing and analysis, as well as programming and computational
skills. Experience with brain imaging methods (resting state functional
MRI and/or Diffusion Tensor Imaging –DTI-) is preferred. Additional
knowledge in Neuroscience and development is valuable.
Experience using FSL and related programs; strong computational and
programming skills (e.g. coding in Matlab, Unix command line scripting,
C++, Python).
_Materials needed_:
CV and three letters of recommendation.
The position is open immediately.
_Contact information_:
If interested, please submit these materials to:
Mar Sanchez, Ph.D.
Associate Professor
Dept. of Psychiatry & Behavioral Sciences
School of Medicine
and
Affiliate Scientist
Yerkes National Primate Research Center
Emory University
mmsanch(a)emory.edu <mailto:mmsanch@emory.edu>
------------------------------------------------------------------------
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or copying of this message (including any attachments) is strictly
prohibited.
If you have received this message in error, please contact
the sender by reply e-mail message and destroy all copies of the
original message (including attachments).
*A full-time Research Technologist is needed to support the research
data collection, analysis, management and computing infrastructure in
Dr. Christine Rabinak’s Translational Neuropsychopharmacology Laboratory
in the Department of Pharmacy Practice.*
Specific responsibilities include:
* Oversee data collection and management (e.g., neuroimaging,
electrophysiology, psychophysiology, etc).
* Identify technical and security requirements, maintain data quality
standards, validate methods, and resolve issues.
* Ensure compliance with industry and University standards for system
design, network access, data security and protection of human
participant confidentiality;
* Contribute to the development of improved computational methods and
visualization protocols, manuscript writing and grant development in
collaboration with Dr. Rabinak and collaborators.
* Develop and maintain data processing pipelines for functional and
structural magnetic resonance imaging,
electroencepholography/event-related potential, psychophysiological
experiments, including automation of data management, administrative
and standardized tasks.
* Statistical analysis of research data.
* Train research assistants, students, and other related staff in
research techniques and analysis.
* Assist in writing grants, manuscripts, and protocols to obtain
funding to support research endeavors.
* Work in partnership with the college IT department to maintain
servers and data storage and of ordering computer equipment and
software.
Required Qualifications:
* Bachelor’s degree in computer science, engineering, psychology,
neuroscience, or a related field.
* Strong scripting or programming experience in one or more of the
following: MATLAB, Python, C.
* Thorough knowledge of basic and research computing systems,
including data storage and management, and system and data back-up.
* Proven skills in performing tasks with continuous attention to
accuracy, safety and productivity.
* Excellent communication skills and a positive customer service
orientation with all levels of users.
Desired Qualifications:
* Experience supporting/developing informatics systems in biological
or research environments preferred.
* Expertise in statistics, neuroimaging processing, or neuroscience
preferred.
* Ability to make a minimum 2-3 year commitment.
*Click to apply.*
<https://jobs.wayne.edu/applicants/jsp/shared/position/JobDetails_css.jsp?po…>
Questions can be directed to Dr. Rabinak: rabinak(a)wayne.edu
<mailto:rabinak@wayne.edu>
A postdoctoral position funded by the Medical Research Council UK is
available in the research group led by Dr. Bhisma Chakrabarti
(www.bhismalab.org). The project studies reward and empathy in Autism
using fMRI and psychophysiology.
This position will be focused primarily on the analysis and subsequent
write-up of fMRI data that has been collected in people with and
without autism. Experience with scientific programming (e.g. in Matlab
or Python) and a sound understanding of statistics will be essential
for this role.
The position is fixed term for 18 months from November 2014.
The ideal candidate will have:
- PhD in a relevant discipline
- Experience in MRI data analysis
- Experience in writing research papers and grant applications
Candidates with experience in advanced analysis of fMRI data will be
at an advantage. Previous relevant experience in emotion/autism
research will be advantageous, but is not essential.
Please refer to this website for further details and how to apply:
http://www.reading.ac.uk/about/jobs/about-job-details.aspx?vacancy_id=07008…
For informal queries, please contact Bhisma Chakrabarti (email:
b.chakrabarti(a)reading.ac.uk).
*3 Tenure Track Positions - Dutch Research Consortium "Language in
Interaction"*
For more information check:
http://www.languageininteraction.nl/jobs/tenures-algemeen.html
*Application deadline: 15 October 2014*
The Dutch NWO Gravitation consortium "Language in Interaction" invites
applications for three tenure track positions. These positions are
offered with a view to long-term embedding of interdisciplinary language
research.
Successful candidates will be given the opportunity to establish their
own independent research group. You will be expected to conduct research
in one or more research areas relevant to theposition applied for.
Supervision of BSc, MSc and PhD projects will be part of your
responsibilities. Administrative duties will include local and/or
national committee memberships. Some contribution to teaching will be
appreciated. You will be provided with budgetary resources, a PhD
student or technician, materials and consumables.
The Netherlands has an outstanding track record in the language
sciences. The Language in Interaction consortium brings together many of
the excellent research groups in the Netherlands in a research programme
on the foundations of language.
Depending on the tenure track position applied for, the successful
candidate will be appointed at one of the following partner institutes:
1) Radboud University Nijmegen & RadboudUMC - Donders Institute for
Brain, Cognition, and Behaviour
2) Radboud University Nijmegen - Centre for Language Studies
3) University of Amsterdam - Institute for Logic, Language and Computation.
All these institutions conduct research in an international setting.
English is the lingua franca.
We are looking for highly motivated, creative and talented researchers
with a strong research profile. Each tenure track position has its own
requirements and profile.
General requirements for the tenure track positions are:
− a PhD degree in a field relevant to the position concerned;
− an established international reputation;
− strong track record of peer-reviewed international publications;
− experience with successfully applying for external funding;
− experience with (co-)supervision of PhD students;
− management skills required for academic leadership;
- outstanding teaching skills, teaching experience, and a clear vision
on teaching.
More information on the three tenure track positions offered and how to
apply can be found under this link:
http://www.languageininteraction.nl/jobs/tenures-algemeen.html
Dear Users
There will not be a YNiC seminar this week because of a timetable clash
with the postgraduate social on Thursday afternoon.
Seminars will restart from 9th October.
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 All,
I would like to draw your attention to the following job opportunity.
https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0914-186
Best wishes,
Cat Sebastian
--
Catherine Sebastian, PhD
Senior Lecturer, Department of Psychology
Royal Holloway, University of London
Egham, Surrey, TW20 0EX
Tel: +44 (0)1784 276599
Email: catherine.sebastian(a)royalholloway.ac.uk
<mailto:catherine.sebastian@royalholloway.ac.uk>
Web: http://www.pc.rhul.ac.uk/sites/edbl/
The "Neuromodulation of Emotion (NEMO)" research group (Division of Medical Psychology, Department of Psychiatry) located at the University of Bonn Medical Center, Bonn, Germany, is seeking motivated candidates for a postdoctoral position starting in January 2015. The main focus of research lies in fMRI and TMS in neuropsychiatric disorders.
The NEMO research group is a creative, friendly, and ambitious team with strong international connections.
Ideal candidates will demonstrate a willingness to participate in international and domestic collaborations, good teaching and communication skills, and a strong publication record. German language knowledge is not required.
Applicants must have a Ph.D. and a background in fMRI and/or TMS related research, along with excellent English skills.
Successful applicants will be hired on a full employment contract. Salary is based on the German national pay grade system (13 TV-L).
The Univerisity Hospital of Bonn is committed to increasing the numbers of women in academic positions and therefore encourages women to apply. Severely disabled applicants are given priority over non-disable applicants of equal qualifications.
To apply, please send your CV and your publications either per post or email to:
Rene Hurlemann, M.D., Ph.D., Associate Professor
Head of the Division of Medical Psychology
Department of Psychiatry
University of Bonn – Medical Center
Sigmund-Freud-Str. 25
D-53105 Bonn
Tel.: +49 (0)228 287 19123
Homepage: http://renehurlemann.squarespace.com…
Dear all,
I would like to draw your attention to the following job opportunity.**
**
*Job Summary: *
IDIBAPS invites applications for a full-time postdoctoral position to
conduct post-processing and analyzing of MRI neuroimaging data (e.g.
structural, fMRI, DWI), as part of a clinical research program in the
Alzheimer’s disease and other cognitive disorders Unit of the Hospital
Clinic (Barcelona, Spain).
**
*Principal Responsibilities: *
The primary responsibility of this position includes post-processing and
analyzing brain MRI data within the project entitled “Organising
Knowledge about Neurodegenerative Disease Mechanisms for the improvement
of Drug Development and Therapy” code number:115568, funded by the
“FRAUNHOFERGESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V”.
This study will enhance our knowledge of the AD pathological processes
in order to prevent or delay the disease. Within this study we are
collecting a comprehensive amount of data, including blood samples,
mental health, quality of life and risk factors, as well as,
neuroimaging procedures to assess brain function.
*Required Qualifications: *
·PhD in Biomedical Engineering, Medical Physics, Neuroscience or related
disciplines.
·Strong background in MRI analysis and related statistical methods for
research (SPM, Freesurfer, FSL or similar).
·Experience with image processing and data analysis.
·Ability to think independently and work collaboratively.
*Benefits *
·Starting date: November 2014.
·The postdoctoral position is scheduled initially for two years (open to
renewal).
·Salary will depend on experience.
*Additional Information: *
To apply, please submit a single PDF file containing the following: 1)
Cover letter describing research interests and relevant background; 2)
CV with list of publications; 3) The names of three individuals who
could provide reference letters to rrhh.fundacio(a)clinic.ub.es
<mailto:rrhh.fundacio@clinic.ub.es>
*Juan D. Gispert*
Head Neuroimaging Research**
*Pasqual Maragall **Foundation*
T. +34 93 316 09 90
Dr. Aiguader, 88 (Edifici PRBB) - 08003 Barcelona. Spain.
http://www.fpmaragall.org/en_index.html**
*
------------------------------------------------------------------------
*
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*cid:image006.jpg@01CD0B4C.79CA6620*Gràcies per estalviar paper.
/Gracias por ahorrar papel./Thanks for saving paper.
Dear Friend,
On behalf of the Board of the Student Neurobiology Society operating at the
Faculty of Biology of the University of Warsaw (Poland) we would like to
invite you to *the 4**th** International Conference " Aspects of
Neuroscience"* that will be held in Warsaw, Poland, *from November 14**th** to
16**th** 2014* at the Faculty of Biology of the University of Warsaw.
As in the following years, this time the Conference also consists of poster
and report symposia*. *November symposia will be devoted to*: Neurobiology,
Cognitive Neuroscience, Clinical Neuroscience, Neuroinformatics and
Neuroscience Borderlines*. Each of the thematic symposium will be preceded
by a lecture delivered by one of the guests, a specialist of a given
domain. The IV edition of Aspects of Neuroscience Conference will be opened
by *prof. Krzysztof Palczewski *from Department of Pharmacology (Case
Western Reserve University, Ohio, USA) with the lecture entitled "Chemistry
of vision and inherited retinal disease". The closing lecture will be
delivered by *prof. Wiesław Nowiński* from the Agency for Science,
Technology and Research
<http://pl.wikipedia.org/wiki/Agency_for_Science,_Technology_and_Research> who
is a *creator of 3D human brain atlase.* Among our special guests are *dr
Bruce Graham* from University of Stirling in Scotland (Neuroinformatics
session), *prof. Leszek Kaczmarek* from Nencki Institute of Experimental
Biology, Polish Academy of Sciences (Neurobiology session), *dr Valeria
Gazzolla* from the Netherlands Institute for Neuroscience in Amsterdam,
assistant professor at the University of Groningen in Netherlands
(Cognitive neuroscience session) and *prof. Semir Zeki – *the Head of the
Wellcome Laboratory of Neurobiology (Vislab) at the University of College
London (Borderlines of neuroscience session).
The student lectures will take place simultaneously in two rooms, in *basic*
version *and* in *extended version*. Language of conference is *English*.
The event is intended for students, doctoral students and research workers
related to neuroscience, but also for people who do not have any experience
in this field of knowledge.
*Registration for the conference is already open! *
http://www.neuronauka.org/eng/?page_id=69
More information about conference and the whole Project:
www.neuronauka.org/eng. Find us on facebook:
https://www.facebook.com/AspectsOfNeuroscience?fref=ts
Yours sincerely,
Student Neurobiology Society at the University of Warsaw
Organizing Committee of the International Conference of Students and Young
Scientists
"The Aspects of Neuroscience"
*A full-time Research Technologist is needed to support the research
data collection, analysis, management and computing infrastructure in
Dr. Christine Rabinak’s Translational Neuropsychopharmacology Laboratory
in the Department of Pharmacy Practice.*
Specific responsibilities include:
* Oversee data collection and management (e.g., neuroimaging,
electrophysiology, psychophysiology, etc).
* Identify technical and security requirements, maintain data quality
standards, validate methods, and resolve issues.
* Ensure compliance with industry and University standards for system
design, network access, data security and protection of human
participant confidentiality;
* Contribute to the development of improved computational methods and
visualization protocols, manuscript writing and grant development in
collaboration with Dr. Rabinak and collaborators.
* Develop and maintain data processing pipelines for functional and
structural magnetic resonance imaging,
electroencepholography/event-related potential, psychophysiological
experiments, including automation of data management, administrative
and standardized tasks.
* Statistical analysis of research data.
* Train research assistants, students, and other related staff in
research techniques and analysis.
* Assist in writing grants, manuscripts, and protocols to obtain
funding to support research endeavors.
* Work in partnership with the college IT department to maintain
servers and data storage and of ordering computer equipment and
software.
Required Qualifications:
* Bachelor’s degree in computer science, engineering, psychology,
neuroscience, or a related field.
* Strong scripting or programming experience in one or more of the
following: MATLAB, Python, C.
* Thorough knowledge of basic and research computing systems,
including data storage and management, and system and data back-up.
* Proven skills in performing tasks with continuous attention to
accuracy, safety and productivity.
* Excellent communication skills and a positive customer service
orientation with all levels of users.
Desired Qualifications:
* Experience supporting/developing informatics systems in biological
or research environments preferred.
* Expertise in statistics, neuroimaging processing, or neuroscience
preferred.
* Ability to make a minimum 2-3 year commitment.
*Click to apply.*
<https://jobs.wayne.edu/applicants/jsp/shared/position/JobDetails_css.jsp?po…>
Questions can be directed to Dr. Rabinak: rabinak(a)wayne.edu
The Rotman Research Institute at Baycrest currently has an opportunity for a
Postdoctoral Fellowship
Cognitive Neuroscience of Memory
Job Summary:
The Rotman Research Institute of Baycrest is offering a research fellowship in the cognitive neuroscience of memory in the laboratory of Dr. Brian Levine at the Rotman Research Institute. The projects involve the neural and behavioral correlates of memory, particularly autobiographical memory.
Responsibilities:
• Analyzing of individual difference effects in healthy adults and patients’ autobiographical memory processes in relation to structural neuroimaging, functional neuroimaging (EEG, fMRI, MEG), genetics, personality, psychopathology, and behavioral measures.
• This training opportunity provides broad exposure to systems neuroscience methods such as advanced neuroimage analysis and neural endophenotypes in the context of ecologically valid mnemonic phenotypes.
Qualifications:
• Applicants should have a Ph.D., M.D. or equivalent degree.
• The Rotman Research Institute welcomes applications from all qualified individuals, including members of visible groups, minorities, women, aboriginal persons, and persons with disabilities.
Applications will be reviewed in the order received, with an expected start date before March 2015. The duration of the fellowship is two years, with the option of continuing for a third year. Bursaries are in line with the fellowship scales of the Canadian Institutes of Health Research and include an allowance for travel and research expenses.
Applicants should submit a C.V. and relevant reprints, together with a cover letter describing current research interests and future research goals, and also arrange to have three letters of reference sent independently to:
Dr. Brian Levine, Rotman Research Institute, Baycrest Center for Geriatric Care, 3560 Bathurst Street, Toronto, Ontario, M6A 2E1, Canada.
Email address: blevine(a)research.baycrest.org.
www: http://www.levinelab.ca
As staff we all share in maintaining a safe care environment for clients, families, and visitors and a safe work environment for staff, physicians, students and volunteers.
Baycrest is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (‘AODA’). If you require accommodation for disability during any stage of the recruitment process, please notify Human Resources at (416) 785-2500, ext. 2961.
https://baycrest-hospital-openhire.silkroad.com/epostings/index.cfm?fuseact…
Please find the following job posting:
_______________________________________________________________________________
Job offer:
https://team.inria.fr/parietal/job-offers/
Motivational blog post:
http://gael-varoquaux.info/blog/?p=175
_______________________________________________________________________________
We are looking for a research engineer to assist us in applying
leading-edge machine-learning methodology to large databases of fMRI
resting-state functional-connectivity.
In a few words, we want to leverage the nilearn
(http://nilearn.github.io) library for machine learning on brain imaging
as well as internal research in the Parietal team
(http://http://team.inria.fr/parietal/) at INRIA, to learn predictive
biomarkers of pathologies from unique large fMRI databases. These
databases are hosted at the CATI (http://cati-neuroimaging.com/) and
encompas multiple pathologies, with match control subjects, aquired
nation-wide in France.
As a research engineer, you will be taking part to the NiConnect research
project
(http://parietal.saclay.inria.fr/research/spatial_patterns/niconnect),
developing tools for the analysis of "functional connectomes": brain
connectivity infered using functional MRI. The project unites
neuroscientists, data-miners, statisticians and clinical researchers to
transfer recent advances in basic neuroscience to clinical diagnostic
tools. You will work hand in hand with the computer science and
statistics researchers, as well as the clinical researchers.
Your duties will be:
* to integrate the functional-connectivity tools developed in nilearn
* into
the CATI analysis pipelines.
* to validate functional-connectivity approaches and extract new
* bio-markers
for specific applications to dementias using CATI datasets. Targeted
applications include the prediction of Alzheimer's disease based on the
unique nation-wise cohort of elderly people that is managed by CATI.
* to assist writing publications in relation with those activities.
* to contribute to the nilearn library (http://nilearn.github.io) in
order to make functional-connectivity analysis on large cohorts easier.
You will be employed by CATI (http://cati-neuroimaging.com/) (itself
part of CEA, which manages the Neurospin brain-imaging platform), but you
will be embedded in the Parietal computer science group
(http://http://team.inria.fr/parietal/) in which I group, and that is
affiliated to INRIA, the French computer science research institute.
Requirements
=============
* Masters or PhD in computer science, electrical engineering,
* neuro-imaging
or a related field.
* Previous experience with medical imaging/neuroimaging
* Good technical English level
* A goal-oriented, practical approach to running data analysis
* Knowledge in image processing, statistical analysis or machine learning
desired
* Programming experience, in particular in Python and/or open source
libraries, welcomed
* Some knowledge of Linux/Unix appreciated
* Experience with a computing cluster is a plus
Speaking French is not a requirement, as it is an international team.
Why apply to this job?
======================
As for any job, the best reason to apply to this job would be because you
are excited to learn new things. Parietal and CATI are highly-skilled
environment, with expertize in advanced neuroimaging data processing,
machine learning, statistics, neuroscience, and high-quality software
development in Python.
About the team
===================
Working at Parietal is a unique opportunity to be at the core of
statistical methodological research for neuroimaging and to improve your
skills in data processing in Python.
Parietal (https://team.inria.fr/parietal/) is part of INRIA
(http://www.inria.fr), the French computer science research
institute, recognized world-wide as one of the leading computer-science
research institutions. Parietal is a small research team (around 20
people) with a fine understanding of statistical and algorithmic issues
in neuroimaging data processing as well as an excellent technical
knowledge of scientific computing in Python.
Parietal is committed to helping to build an open-source neuroimaging
data-processing community. its members are core developers in central
projects Python data-processing tools such as the nilearn
(http://nilearn.github.io) library for machine learning applied to
NeuroImaging, scikit-learn (http://scikit-learn.org), the reference
machine learning library in Python, Mayavi
(http://docs.enthought.com/mayavi/mayavi/) for 3D visualization, as well
as the nipy (http://nipy.org) library for NeuroImaging.
(CATI<http://cati-neuroimaging.com/) is the national core facility
for multicenter neuroimaging studies. CATI brings together neuroimaging
research laboratories with complementary expertise located at NeuroSpin,
the largest French MR research institute, and in La Pitié-Salpêtrière
Hospital, the largest French hospital. CATI's services cover
standardization of MRI data acquisitions, data transfer to a centralized
database, monitoring and quality control, and image analysis using a
large portfolio of tools that include machine learning approaches.
Initially designed to address Alzheimer's disease- specific needs, the
platform is now open to academic research projects and therapeutic trials
targeting any neuropsychiatric disorder. CATI's core laboratories have
many years of experience in the coordination of multi-site neuroimaging
research. Its infrastructure stretches across the country, collecting
additional know-how from all the French groups and organizations involved
in neuroimaging, in order to offer the best tools for scientific
projects. CATI has already received over 5000 exams from its harmonized
network of over 50 sites. Over 10000 images of multiple modalities
(anatomical MRI, functional MRI, diffusion MRI, PET, SPECT) have been
processed resulting in various anatomical and functional measures. CATI
is a core member of the NiConnect project.
Parietal as well as the core team of CATI are located in the Neurospin
brain research facility
(http://www-dsv.cea.fr/en/instituts/institut-d-imagerie-biomedicale-i2bm/ser…),
that hosts several brain scanners and research teams in neuroscience and
medical imaging.
Contact Info
==============
* Technical Contact: Gael Varoquaux
* E-mail contact: gael.varoquaux(a)inria.fr
* HR Contact: Catherine Champseix
* E-mail Contact: catherine.champseix(a)gmail.com
* No telecommuting
* Fixed-term contract. Duration 24 month, with possible extension of 12
* months.
* Salary depending on experience
* Experience required: some professional experience in neuroimaging or
data processing
--
Gael Varoquaux
Researcher, INRIA Parietal
Laboratoire de Neuro-Imagerie Assistee par Ordinateur
NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
Phone: ++ 33-1-69-08-79-68
http://gael-varoquaux.infohttp://twitter.com/GaelVaroquaux
*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 anatomical and functional connectivity underlying
cognition in health 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), resting-state and task-based
functional MRI, diffusion MRI, and concurrent
fMRI-electroencephalography (EEG). We are interested in examining the
network-level brain connectivity dynamics 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: 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 social-emotion/cognition/memory functions and/or applications
of multimodal neuroimaging in neuropsychiatric disorders is preferred.
Proven skills in MRI/fMRI/EEG/Diffusion data analyses is a plus.
Key attractions are access to a 3T Siemens 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
<mailto:helen.zhou@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
<http://www.duke-nus.edu.sg/content/zhou-juan-helen>
The Johns Hopkins University Schools of Medicine, Public Health, and
Nursing invite applicants for an interdisciplinary postdoctoral training
program (T32 NS070201) in biobehavioral pain research. Fellows work
within an interdisciplinary team and have the opportunity to both
contribute to existing NIH-funded projects and begin to develop an
independent line of research through extramural and intramural funding
mechanisms.
Faculty members participating in the fellowship program currently offer
several exciting opportunities for work on neuroimaging projects,
including fMRI and PET. Applicants with a background in neuroimaging are
strongly encouraged to apply.
The postdoctoral fellow must be a citizen or a noncitizen national of
the United States or have been lawfully admitted for permanent residence
at the time of the appointment. Further details can be found at
www.hopkinspainfellowship.org <http://www.hopkinspainfellowship.org>, or
by emailing the Principal Investigators, Dr. Gayle Page (gpage1(a)jhu.edu
<mailto:gpage1@jhu.edu>)or Dr. Jennifer Haythornthwaite
(jhaytho1(a)jhmi.edu <mailto:jhaytho1@jhmi.edu>).
The Autism Spectrum Disorders Research Program at the Child Study Center
of the NYU Langone Medical Center is looking for a post-doctoral fellow
interested in conducting behavioral and neuroimaging research in autism
spectrum disorders (ASD) and related conditions (e.g., attention deficit
hyperactivity disorder). Current research applies R-fMRI and
diffusion-tensor imaging, as well as simultaneous fMRI/EEG acquisition,
and behavioral and neuropsychological measures to investigate biomarkers
in children and adults with ASD and related neurodevelopmental
disabilities. The fellow will work with PI Adriana Di Martino (primary
mentor; NYU CSC) and collaborator Michael P. Milham (Child Mind
Institute, Nathan Kline Institute). Position is for a minimum of two
years and responsibilities will include but are not limited to study
design and data acquisition, data analysis and manuscript preparation.
Minimum Qualifications: Doctoral degree in cognitive neuroscience,
computer science, engineering or related areas. Prior experience with
one or more functional neuroimaging techniques (fMRI, PET, EEG, MEG) is
essential. Must be proficient with computers, scripting/programming
(bash, python and/or matlab) and at least one neuroimaging analysis
package (AFNI, SPM, FSL).
Applications should include a letter of interest and CV to be emailed to
Adriana Di Martino, M.D. Research Director of the Autism Research and
Clinical Program at NYU CSC at adriana.dimartino(a)nyumc.org and Michael
Milham, M.D., Ph.D. at michael.milham(a)childmind.org.
A position is available for a Postdoctoral Fellow in the laboratory of
Dr. Matilde Inglese in the Estelle and Daniel Maggin Department of
Neurology at the Icahn School of Medicine at Mount Sinai in New York.
Applicants should have a Ph.D. degree in biomedical engineering, or
applied Mathematics and should have knowledge and experience in both
task-based and restingstate fMRI, EEG-fMRI and Diffusion MRI. Experience
with fMRI analysis software packages, presentation software, strong
computer programming skills (e.g., in C/C++ & especially MATLAB) are
highly desirable
Potential applicants are encouraged to contact Matilde Inglese,
Associate Professor Neurology, Radiology and Neuroscience (email:
matilde.inglese(a)mssm.edu) to find out more about the role, before
submitting a formal application including CV and 3 references.
Postdoctoral Fellowship in Structural and Functional MRI Research
University of California at Los Angeles, Los Angeles
The Department of Anesthesiology, University of California at Los
Angeles would like to invite applications for two year Postdoctoral
Fellowship position starting from November 1, 2014 (or as soon as
possible), with possibility for two more years’ extension, based on
satisfactory performance and productivity.
Project details
Functional and structural magnetic resonance imaging (fMRI) methods have
become non-invasive procedures to examine task-specific brain activity,
quantify functional connectivity at resting-stage, and to assess
structural tissue integrity. The primary goal of this project is to
develop, optimize existing analyses tools in the lab, and apply them to
model whole-brain functional connectivity based on resting stage fMRI
data, examine brain fMRI signal responses to autonomic and other
challenges, and asses brain structural integrity using T2-relaxometry,
diffusion tensor and kurtosis imaging, and magnetization transfer
imaging in patients with heart failure condition.
Qualifications
A PhD degree in mathematics, radiology (MRI), biomedical engineering,
electrical engineering, neuroscience, or related field with background
and research experience in functional and structural MRI-related
research in humans, especially in functional and structural MRI data
processing and MATLAB-based programming, reflected as data-based
publications, is required. Experience in MRI data acquisition and
optimization of protocol is also essential. Excellent communication and
writing skills in English are also essential.
Environment
Our lab is part of neuroscience community at UCLA, the largest
neuroscience community in the USA, host a large number of
neuroscientists (>500), who provide a resource for neuroanatomic,
neuropathologic, neurophysiologic, neuropsychologic, and analytic
support. The laboratory is immediately adjacent to the Ahmanson-Lovelace
Brain Mapping Center, which provides a significant resource in
neuroimaging faculty (>28 faculty, both basic and clinical), software,
and analytic support, and there are ample of opportunities to interact
those scientists. Our lab uses a 3.0-Tesla MRI scanner (Siemens,
Prisma), located in the proximal Department of Radiological Sciences, a
unit devoted to research studies with on-site PhD-level Siemens engineers.
Appointment Terms and Salary
The initial appointment would be for two years, with possibility for two
more years’ extension, based on satisfactory performance and
productivity. Salary and benefits would be based on UCLA norms with
research experience.
Application Procedure and Deadline
UCLA is an equal opportunity and affirmative action employer
(http://www.mednet.ucla.edu/), and all qualified individuals are
encouraged to apply. Applications will be accepted until position is
filled. To be considered for this position, please send your CV and a
cover letter to:
Rajesh Kumar, PhD
Email: rkumar(a)mednet.ucla.edu
Rajesh Kumar, PhD
Assistant Professor
Departments of Anesthesiology and Radiological Sciences
David Geffen School of Medicine at UCLA
University of California at Los Angeles
Los Angeles, CA 90095-1763, USA
Tel: 310-206-1679, 6133 (office); 310-825-1808 (Lab)
Fax: 310-825-2236
Email:rkumar@mednet.ucla.edu
_http://people.healthsciences.ucla.edu/institution/personnel?personnel_id=4…
We are looking to appoint one postdoctoral fellow to make a leading
contribution to an ESRC funded project on the neurobiology of human
decision making using multimodal neuroimaging. The post will be based at
the Institute of Neuroscience and Psychology (INP) at the University of
Glasgow (ranked 2nd in the UK by the Guardian), which benefits from
on-site access to the Centre for Cognitive Neuroimaging (CCNi). The CCNi
is a research-dedicated facility within the INP and it is equipped with
state-of-the art brain imaging facilities comprising a 3T fMRI scanner
(Siemens Trio), an MEG system, and several TMS and EEG systems,
including MR-compatible recording options.
Our group uses multimodal neuroimaging coupled with mathematical
modelling to characterise the spatiotemporal dynamics and the
computational principles of the brain networks underlying human decision
making. Our analysis methods are heavily inspired by machine learning
and statistical pattern recognition and are designed to exploit
trial-to-trial variability in electrophysiologically-derived measures
that can be used in conjunction with simultaneously acquired fMRI to
tease apart the cascade of constituent cortical and subcortical
processes involved in decision making. The primary focus of the project
will be to unravel the neural correlates of learning and confidence
during decision making, which will form the basis for further
development of brain computer interfaces (BCI) for human-machine
interaction. The latter will take place in close collaboration with
Prof. Paul Sajda’s team at Columbia University in New York with whom the
selected candidate will have the opportunity to interact regularly.
Candidates must have a PhD (or equivalent) in neuroscience, psychology,
cognitive science or in a related discipline. Candidates must have
previous practical experience and working knowledge of human
neuroimaging (including both EEG and fMRI) as evident by a strong track
record of publications in international journals. The post holder must
also have working knowledge of multivariate data analysis techniques,
excellent programming skills in Matlab and previous experience in using
either fSL or SPM analysis software. Previous experience in simultaneous
EEG/fMRI experiments and computational modelling is desirable.
This post will be available from 5th January 2015 or as soon as possible
thereafter for three years. Salary: Grade 7 £33,242 – £37,394 per annum.
Informal enquiries may be addressed to Dr. Marios Philiastides at
marios.philiastides(a)glasgow.ac.uk. Please note that applications sent
directly to this email address will not be accepted. For more details on
our research interests visit http://decision.ccni.gla.ac.uk.
Apply online at www.glasgow.ac.uk/jobs (Ref: 009415)
Closing date: 19 October 2014