Please forward to colleagues and students who could be interested,
Thank you!
Best regards,
Tiina Parviainen
***
2-Year Postdoctoral position and 3-year PhD Studentship
Project: Effects of physical activity on brain structure and function
Applications are invited for a 2-year full-time postdoctoral position
and 3-year PhD studentship at the Centre for Interdisciplinary Brain
Research (CIBR), Faculty of Social Sciences and the Department of
Psychology University of Jyvaskyla, Finland. The posts are related to a
research project studying the effects of physical activity and fitness
on brain and the prerequisites of learning. The project is part of a
larger consortium, funded by Academy of Finland, with main sites of
research in University of Jyvaskyla (Centre for Interdisciplinary Brain
Research, Department of Biology of Physical Activity) and LIKES
(Research Centre for Sport and Health Sciences), Jyvaskyla, Finland.
The research team consists of about 20 researchers studying the link
between physical activity and learning at different levels. University
of Jyvaskyla is internationally well known for its research in the field
of sport biology, and the newly established Centre for Interdisciplinary
Brain Research will combine advanced neuroimaging methods to this
domain. We offer a highly interdisciplinary research environment,
utilizing existing large cohort studies in Finland. Our national and
international collaborative network combines expertise from
neuroimaging, psychology, cell-biology, animal neurophysiology and
epidemiology. The neuroimaging (MRI and MEG measurements) will be done
in collaboration with MEG Core/AMI Centre, Aalto NeuroImaging, Aalto
University, Espoo, Finland.
The postdoctoral scientist will be responsible for the MRI data, and is
expected to have a strong background in MRI data analysis and a Doctoral
degree in a related field. Familiarity with cognitive neuroscience
questions, especially attention and executive functions, is appreciated.
The PhD student will focus on MEG data, and should have a master’s
degree in a relevant field (i.e. related e.g. to neuroscience,
psychology, sport biology, signal processing, engineering). Experience
in MEG and/or EEG is an asset, but not necessary. Familiarity with
signal processing environments (e.g. matlab, python) is appreciated for
both posts.
Applications are accepted until 1st April or until the position is
filled. The starting date is negotiable. The application should include:
1) Motivation letter 2) Curriculum vitae 3) Numbered list of
publications 4) Short statement of research interests 5) Contact
information for two referees.
Feel free to email for any further inquiries.
For more information and to submit an application, contact Dr Tiina
Parviainen (tiina.m.parviainen(a)jyu.fi <mailto:tiina.m.parviainen@jyu.fi>)
--
Dr Tiina Parviainen
Research Director
Centre for Interdisciplinary Brain Research
Department of Psychology
University of Jyväskylä
P.O. Box 35
FIN-40014 University of Jyväskylä
Finland
mobile. +358 (0) 40 805 3533
tiina.m.parviainen(a)jyu.fi <mailto:tiina.m.parviainen@jyu.fi>
Dear all,
The first MEG research group meeting after the break will be next Thursday (06-02), at 12.00 pm in B204 (Department of Psychology).
Giovanna Mollo will talk about: 'Identifying objects at different levels of specificity: Effects on cortical dynamics in hub and spokes'.
Hopefully see you all on Thursday.
Best,
Markus
-----------------------------------------
Markus J. van Ackeren
PhD Student
Department of Psychology
University of York
YO10 5DD, UK
Email: mjva500(a)york.ac.uk
Dear Users
Today (4-5 pm in YNiC) Garreth Prendergast will be giving his "farewell
seminar".
Everyone is welcome to attend and refreshments will be available in YNiC
after the talk.
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
The Hospital of the University of Munich, Germany, is one of the largest
and most competitive university hospitals in Germany and Europe. 45
specialized hospitals, departments and institutions harboring excellent
research and education provide patient care at the highest medical level
with approximately 10.000 employees.
The Institute for Stroke and Dementia Research at the Ludwig Maximilian
University of Munich offers:
Postdoc: Neuroimaging (m/f)
RESEARCH FOCUS and RESPONSIBILITIES:
The postdoc will work on disease crossing mechanisms of
neurodegeneration and cognitive decline using multimodal MRI data
acquired through prospective longitudinal studies. Our protocols include
repeat structural and functional MRI together with amyloid PET and
detailed cognitive testing. The study is funded by the German Center for
Neurodegenerative Diseases (DZNE) and embedded in an ambitious imaging
program on disease crossing mechanisms. The postdoc will work in a
highly dynamic neuroimaging team and is encouraged to bring in own
research ideas.
REQUIREMENTS:
The candidate should hold a PhD, MD or equivalent degree in relevant
disciplines (informatics, engineering, mathematics, neuroscience),
should be familiar with state of the art structural and functional
imaging techniques as documented by relevant publications. Solid
knowledge of programming and statistics is a plus. An enthusiastic,
independent work style will provide a good fit for our team.
OFFER:
We offer an excellent multidisciplinary environment with expertise in
neuroimaging, neuropsychology, bioinformatics, epidemiology and state of
the art multimodal neuroimaging equipment (3T MRI, high-density fMRI
compatible EEG, molecular PET, IT infrastructure). The research team is
embedded in the Munich Cluster for Systems Neurology, which is funded by
the German Excellence Initiative. The research fellow will draw on a
comprehensive database and technical support to facilitate efficient
work conditions. He/she will work in a young and highly productive team
at the Institute for Stroke and Dementia Research.
The Ludwig Maximilian University of Munich (LMU)
(http://www.en.uni-muenchen.de/index.html), Germany, and its hospitals
figure among Germany’s premier and internationally competitive
biomedical research sites and are funded by the government’s Excellence
Initiative.
Salary is according to TV-L. The position is limited for two years, with
a possible extension. Disabled persons will be preferentially considered
in case of equal qualification. Presentation costs can not be refunded.
HOW TO APPLY:
Your application - preferably in electronic form - with the usual
documents indicating the
earliest possible starting date should be directed to:
Klinikum der Universität München,
Institute for Stroke and Dementia Research
Prof. Dr. Martin Dichgans
Marchioninistr. 15
81377 Munich | Germany
Send application by email to:
Mrs. Lilo Thomas
E-Mail: isd(a)med.uni-muenchen.de
The Eating Disorder Section of the Department of Child and Adolescent
Psychiatry, University Hospital Carl Gustav Carus, Dresden University of
Technology, Germany (Prof. Stefan Ehrlich) invites applications for a
postdoc position (full time) in neuroimaging of eating disorders with a
focus on computational neuroscience and in close collaboration with the
Collaborative Research Centre 940 "Volition and Cognitive Control:
Mechanisms, Modulators, and Dysfunctions" http://www.sfb940.de/. Our
international and multidisciplinary group conducts basic research in
neuroscience at the inter-face to clinical applications. We focus on
cognitive control, reward system and the processing of positive and
negative emotions in patients with anorexia nervosa. Some of our
projects are part of the aforementioned Collaborative Research Centre
(CRC, Steering Committee: Profs. T. Goschke, C. Kirschbaum, M. Smolka,
A. Strobel, H.-U. Wittchen).
Postdoctoral Research Position (f/m)
in Neuroimaging of Eating Disorders
To further strengthen our lab, we are seeking for a postdoc with some
experience in Computational Neuroscience, e.g. model-based analysis of
behavioral and MRI data, decoding or machine learning. Responsibilities
will also include the coordination of our ongoing clinical research
study and the acquisition, preprocessing and analysis of a range of
behavioral and magnetic resonance imaging (MRI) data. Together with a
doctoral student new functional MRI paradigms need to be programmed and
implemented. Imaging sessions will take place on the Neuroimaging
Center's 3T Siemens TIM-Trio scanner. We routinely collect high-quality
structural, diffusion, and functional MRI data. A variety of additional
information is also being collected, including neuropsychological and
psychiatric scales, physiological (SCR, eye tracking) and
endocrinological markers. Summarizing results and writing research
articles will be another central aspect of the work.
The successful applicant will work in a team of young investigators and
also start to supervise doctoral students, interns and medical students
working in the project. Thanks to the CRC the applicant will have ample
opportunity to work with peers and senior scientists in similar project
in the Medical School and the Psychology Department. In addition, the
position offers the possibility for further scientific qualification
(i.e. Habilitation).
Requirements:
• Doctoral degree (Ph.D.) in any scientific field of study with a strong
quantitative background, e.g. mathematics, informatics, statistics,
computational neuroscience, biomedical or electrical engineering (with
additional qualifications or experience in computational neuroscience a
PhD, MD or comparable degree in a relevant field such as psychology,
biology, biomedicine, medicine, biophysics or physics may also be
sufficient).
• Expertise in computational modeling of behavioral and/or imaging data
(e.g., Bayesian inference methods and statistics, hidden Markov
modeling, machine learning, reinforcement and temporal difference
learning or connectivity analyses) • Experience in computer programming
(Linux/Unix shell scripting, Python and/or MATLAB) • Some exposure to
cognitive and emotional neurosciences • Participation in research
activities within the past years • Publications in peer-reviewed
journals • Strong organizational skills • Command of some basic German
The successful applicant will join a multidisciplinary team of
researchers and clinicians, will receive further training and train
doctoral students (informally).
The Salary will be consistent with levels in accordance with the German
Research Foundation (100% TV-L: E 13). Compensation includes health
insurance and vacation time.
The position is available for a start date as soon as January 20th 2014
(to be confirmed). Review of applications will begin immediately and
will continue until the position is filled. The position is guaranteed
for two to three years with the possibility of renewal after positive
evaluation. The funding has been granted for 5 years.
To apply you can use our online portal
(http://www.uniklinikum-dresden.de/bildung-und-karriere/stellenangebote/wiss…).
The application should include a cover letter detailing professional
objectives and interests, CV (with grades and language skills), and the
names and email addresses of two references. The application can be
written in German or English. The position is open to qualified
international applicants.
Please refer to our homepage:
http://www.kjp-dresden.de/en/content/eating-disorders,
http://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_na…,
http://www.kjp-dresden.de/en/content/schizophreniaandhttp://www.kjp-dresden.de/de/basic-page/publikationsliste-prof-dr-s-ehrlich…
more detailed information.
:::::::::::::::::::::::::::::::::::::::::
Dipl.-Inf. Daniel Geisler
Wissenschaftlicher Mitarbeiter
Bereich Angewandte Entwicklungsneurowissenschaften
Klinik und Poliklinik für Kinder- und Jugendpsychiatrie und -psychotherapie
Fon +49 (0)351 458-7071
Fax +49 (0)351 458-7206
Universitätsklinikum Carl Gustav Carus
an der Technischen Universität Dresden
Anstalt des öffentlichen Rechts des Freistaates Sachsen
Fetscherstraße 74 (Haus 25, Raum 232),
01307 Dresden http://www.uniklinikum-dresden.de
<http://www.uniklinikum-dresden.de/>
Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Wilfried E. B. Winzer
Vorsitzender des Aufsichtsrates: Prof. Dr. med. Peter C. Scriba
USt.-IDNr.: DE 140 135 217, St.-Nr.: 201 145 00020
Dear Users
This *Wednesday* (29th January, 4-5 pm in YNiC) Garreth Prendergast
will be giving his "farewell seminar".
Everyone is welcome to attend and refreshments will be available in YNiC
after the talk.
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,
A Data Manager position is available in the Language group at the
Wellcome Trust Centre for Neuroimaging, UCL, under the supervision of
Professor Cathy Price.
If you need more details, please see below or click on the following link:
http://www.jobs.ac.uk/job/AIA093/data-manager/
Thank you,
Mohamed
Data Manager
*Institute of Neurology* -Wellcome Trust Centre for Neuroimaging
*Queen Square*
Applications are invited for a Data Manager in the Language group at the
Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology,
under the supervision of Professor Cathy Price. The overall aim of the
group is to create a clinical tool that will predict language outcome
and recovery after stroke [http://www.ucl.ac.uk/ploras], and involves
the integration of four types of data: structural MRI, functional MRI,
demographic information and behavioural (primarily language) assessments.
The successful applicant will be responsible for overseeing data
collection and its management. Initially, this will involve managing the
completion of a bespoke relational database holding core participant and
behavioural data. The post holder will also be responsible for advising
on formats for initial data collection, organizing and maintaining data,
extracting data for analysis and prediction purposes and supervising all
those using the database.
Applicants should have a BSc in Neuroscience or a related topic with a
good understanding of statistics. Experience setting up and managing
large complex datasets with multiple users is essential, as are
excellent IT skills and exceptionally good oral and written
communication skills in English. Experience with neuroimaging data is
desirable.
The post is funded by the Wellcome Trust, and is available immediately
for one year in the first instance.
*Starting salary on UCL Grade 6b in the range £32,699 - £39,523 pa
including London Allowance.*
You should apply for this post through UCL’s online recruitment,
www.ucl.ac.uk/hr/jobs <http://www.ucl.ac.uk/hr/jobs>, where you can
download a full job description and person specification using *ref:
1394958*.
For queries relating to the application process, please contact Samantha
Robinson, Personnel Officer, UCL Institute of Neurology, 23 Queen
Square, London WC1N 3BG (email: ion.hradmin(a)ucl.ac.uk
<mailto:ion.hradmin@ucl.ac.uk> )
Informal enquiries welcome to Professor Cathy Price (email:
c.j.price(a)ucl.ac.uk <mailto:c.j.price@ucl.ac.uk>).**
*Closing date: 16 February 2014*
/UCL Taking Action for Equality
/
might be of interest for some of you
---------------
Gary Green
SECOND CALL FOR PAPERS
** apologies for cross posting **
4th International Workshop on Pattern Recognition in NeuroImaging (PRNI
2014)
June 4-6 2014, Max Planck Institute for Intelligent Systems, Tübingen,
Germany
Website: http://www.prni.org
Multivariate analysis of neuroimaging data has gained ground very
rapidly in the community over the past few years, leading to impressive
results in cognitive and clinical neuroscience. Pattern recognition and
machine learning conferences regularly feature a neuroimaging workshop,
while neuroscientific meetings dedicate sessions to new approaches to
neural data analysis. Thus, a rich two-way flow has been established
between disciplines. It is the goal of the 4th International Workshop on
Pattern Recognition in NeuroImaging to continue facilitating exchange of
ideas between scientific communities, with a particular interest in new
approaches to the interpretation of neural data driven by new
developments in pattern recognition and machine learning.
IMPORTANT DATES
Paper submission deadline: 7th of March, 2014 **submission website is
now open**
Acceptance notification: 4th of April, 2014
Workshop: June 4-6, 2014
TOPICS OF INTEREST
PRNI welcomes original papers on multivariate analysis of neuroimaging
data, using invasive and non-invasive imaging modalities, including but
not limited to the following topics:
* Learning from neuroimaging data
- Classification algorithms for brain-state decoding
- Optimisation and regularisation
- Bayesian analysis of neuroimaging data
- Connectivity and causal inference
- Combination of different data modalities
- Efficient algorithms for large-scale data analysis
* Interpretability of models and results
- High-dimensional data visualisation
- Multivariate and multiple hypothesis testing
- Summarisation/presentation of inference results
* Applications
- Disease diagnosis and prognosis
- Real-time decoding of brain states
- Analysis of resting-state and task-based data
KEYNOTE SPEAKERS
John-Dylan Haynes
Klaus-Robert Müller
Russ Poldrack
SUBMISSION GUIDELINES
Authors should prepare full papers with a maximum length of 4 pages
(double-column, IEEE style, PDF) for review. Reviews will be
double-blind, i.e. submissions have to be anonymized.
PROCEEDINGS
Proceedings will be published by Conference Publishing Services in
electronic format. They will be submitted for inclusion in IEEExplore
and IEEE CS Digital Library online repositories, and submitted for
indexing in IET INSPEC, EI Compendex (Elsevier), Thomson ISI, and others.
BEST STUDENT PAPER AWARD
A small number of papers will be selected for the Best Student Paper
Award. To be eligible the paper’s first author must be a student,and
the student must agree to present the paper at the workshop. Awardees
will receive a travel allowance.
VENUE
The workshop will be held on the campus of the Max Planck Institute in
Tübingen, Germany. Tübingen is a picturesque medieval university town,
and can easily be reached by public transportation from Stuttgart
airport (STR). Accommodation is available on or close to campus. A
pre-conference barbecue will be held on June 3, 2014.
ORGANIZATION
General Chair:
Moritz Grosse-Wentrup (MPI for Intelligent Systems, Tübingen, Germany)
Program Chairs:
Marcel van Gerven (Donders Institute for Brain, Cognition and Behaviour,
Netherlands) & Nikolaos Koutsouleris (LMU Munich, Germany)
Steering committee:
Jonas Richiardi, Dimitri Van De Ville, Seong-Whan Lee, Yuki Kamitani,
Janaina Mourao-
Miranda, Christos Davatsikos, Gaël Varoquaux
ENDORSEMENTS
PRNI 2014 is an official satellite meeting of the Organization for Human
Brain Mapping and an endorsed event of the Medical Image Computing and
Computer Assisted Intervention Society.
--
Dr.-Ing. Moritz Grosse-Wentrup
Group leader (W2)
Max Planck Institute for Intelligent Systems
Dept. Schölkopf
Spemannstraße 38
72076 Tübingen
Telephone: +49-7071-601-547
moritzgw(a)tuebingen.mpg.de
http://brain-computer-interfaces.net
The Department of Biomedical Engineering (IMT), in collaboration with
The Center for Medical Image Science and Visualization (CMIV) at
Linköping University (Sweden) are offering a fully funded PhD student
position in medical image analysis.
*** Research Environment
IMT and CMIV at Linköping University (Sweden) have a long tradition in
the development of image analysis tools for medical images and their
validation through clinical studies. IMT and CMIV are renowned for their
state-of-the-art methods for CT image reconstruction, multidimensional
image filtering, multimodal registration, and advanced scientific
visualization of medical images. CMIV has its own premises with
state-of-the-art medical imaging and visualization equipment at
Linköping University Hospital. http://www.liu.se/cmiv?l=en&sc=true
<http://www.liu.se/cmiv?l=en&sc=true,> http://www.imt.liu.se/en/
*** Project
The PhD student will develop new tensorial techniques that can be
applied to analysis of images acquired through different Magnetic
Resonance and Computed Tomography imaging protocols with applications to
the human circulatory, skeletal and nervous systems.
*** Profile
Applicants must hold a higher education degree at Master’s level, or
having completed course requirements of at least 240 ECTS credits,
including a minimum of 60 ECTS credits at Master’s level, or having
acquired the equivalent skills and knowledge, abroad or domestically. A
strong background in mathematics is required for this position. Highly
motivated individuals with degrees in mathematics, physics, computer
science or engineering are especially encouraged to apply.
*** Position
The funds will cover the salary of the PhD student for 4 years. The
starting salary will be based on locally agreed salary scales.
*** More information and application
More information and the application procedure can be found in the
following link:
http://www.liu.se/en/job/show.html?5402
Applications must be submitted no later than the 28th of February 2014.
For more information, please contact Rodrigo Moreno
rodrigo.moreno(a)liu.se (+46-(0)10-10 38986)
-----------------------------------------
Rodrigo Moreno, Ph.D.
Lecturer (Assistant Professor) at CMIV / IMH
Linköping University,
Campus US, CMIV
SE-581 85, Linköping, Sweden
Tel.: +46-(0)10-10 38986
E-mail: rodrigo.moreno(a)liu.se
Web:
http://www.imh.liu.se/radiologiska-vetenskaper/medarbetarna/rodrigo-moreno?…
Dear colleagues,
I am forwarding the following information about open job opportunities
in Giessen and Marburg on behalf of Karl Gegenfurtner. The P.I.s on
projects that involve fMRI are marked by an X in the list.
Best wishes,
Bianca
--
The German Research Council (DFG) has established a Collaborative
Research Center (SFB/TRR 135) at the universities of Giessen and
Marburg. The scientific goal is to investigate the cardinal mechanisms
that underlie perception: prediction, valuation and categorization.
Scientists within the research center come from different disciplines
ranging from experimental psychology and human movement science to
neurophysics and psycholinguistics. We use a vast range of methods
including psychophysics, neuroimaging and single unit electrophysiology.
The positions are available starting on April 1, 2014 or soon
thereafter, and can potentially be held until the end of 2017.
If you are interested in a PhD studentship or a PostDoc position, you
should contact one of the principal investigators of the grant directly:
Jutta Billino (Giessen, Experimental Psychology, Aging)
X Ina Bornkessel-Schlesewsky (Marburg, Experimental Linguistics, Embodiment)
Doris Braun (Giessen, Experimental Psychology, Eye movements)
X Frank Bremmer (Marburg, Neurophysics, Oculomotor Physiology, Self Motion)
Knut Drewing (Giessen, Experimental Psychology, Active Touch)
X Wolfgang Einhäuser-Treyer (Marburg, Neurophysics, Ocuolomotor salience)
X Katja Fiehler (Giessen, Experimental Psychology, Hand and Eye Movements)
X Karl Gegenfurtner (Giessen, Experimental Psychology, Color Vision, Eye
Movements)
X Mathias Hegele (Giessen, Human Movement Science, Animacy)
Bianca Jovanovic (Giessen, Developmental Psychology, Infant Motor
Experience)
Christina Kauschke (Marburg, Clinical and Developmental Linguistics,
Emotion Words)
X Tilo Kircher (Marburg, Psychiatry, Inter-modal Perception)
Harald Lachnit (Marburg, Experimental Psychology, Associative Learning)
Anna Schubö (Marburg, Cognitive Psychophysiology, Attention, Visual
Selection)
Alexander Schütz (Giessen, Experimental Psychology, Eye Movements and Value)
Gudrun Schwarzer (Giessen, Developmental Psychology, Child Face Perception)
X Benjamin Straube (Marburg, Psychiatry, Perception of One's Own Actions)
X Bianca Wittmann (Giessen, Biological Psychology, Motivational salience)
A list of all projects, including links to the P.I.'s web pages can be
found at
http://www.allpsych.uni-giessen.de/sfb
Applicants should have a strong academic training, including a Master's
degree in a relevant discipline.
Please send a CV and a brief cover letter explaining why you are
interested in applying for a position either directly to one of the
P.I.s listed above, or to the grant coordinator Karl Gegenfurtner
(gegenfurtner(a)uni-giessen.de).
Applications should be received by February 14, 2014, but we will
consider late applications until all the positions are filled.
Karl Gegenfurtner
--
Prof. Karl Gegenfurtner, Abteilung Allgemeine Psychologie
Justus-Liebig-Universität, Otto-Behaghel-Str. 10, 35394 Giessen
phone: +49 641 9926100 mailto:gegenfurtner@uni-giessen.de
fax: +49 641 9926119 http://www.allpsych.uni-giessen.de/karl
Dear Users
This afternoon (4.15 pm in YNiC open plan) there will be talks on
1) "Update on Participant Consent at YNiC" given by Mark Hymers
2) "Feedback from the MEG UK meeting" given by Gary Green.
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
Dear Users
As some of you may already know, Garreth Prendergast is leaving YNiC at
the end of this month to become a post-doc at the University of Manchester.
Please put *Wednesday 29th January 4-5 pm* in your diaries if you would
like to be part of the organised farewell to Garreth.
Garreth will be giving his "farewell seminar" on 29th January from 4-5
pm in YNiC. After the seminar we will be taking Garreth out for drinks
and dinner to thank him for all his contributions to the department.
Please let me know if you would like to join us for dinner.
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 (4.15 pm in YNiC open plan) there will be 1) a talk on
"Update on Participant Consent at YNiC" given by Mark Hymers and 2) a
talk on "Feedback from the MEG UK meeting" given by Gary Green.
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
We are pleased to announce two PhD studentships in medical imaging:
Experimental neuroimaging with Focal MEG
Type of employment: Fixed-term employment, 4 years if full-time studies
Extent: 100 %
Location: Sahlgrenska Academy, Göteborg
First day of employment: As agreed
Reference number: UR 2014/16
http://www.gu.se/english/about_the_university/announcements-in-the-job-appl…
This project targets stress-induced heart disease (SIHD) with an
experimental neuroimaging technique: Focal MEG. The PhD student will be
involved in the planning and execution of medical research studies that
explore the neurophysiological signaling pathways responsible for the
spectrum of responses to arousal we have observed in the general
population.
These arousal responses are rapid—occuring in less than a heartbeat—and
strongly correlated with long-term trends in blood pressure and heart
disease. State-of-the-art MEG—like the recently installed NatMEG system
to which the student will have access—adds the time-dimension to
neuroimaging, allowing one to see where, when, and how long brain
activity occurs. Our experimental Focal MEG system improves the
sensitivity of MEG; this project will help develop and validate this
beyond state-of-the-art neurimaging system. Participants in the studies
will be recruited from ongo ing studies that are presently led by the
supervisory team at the SUH Department of Clinical Neurophysiology. By
combining next-gen neuroimaging with groups of subjects that have been
well characterized in ongoing studies, we hope to identify a biomarker
for SIHD.
The PhD student will thus have access to a unique research
infrastructure (NatMEG, Focal MEG, as well as standard fMRI, EEG, ECG,
etc.) and be supervised by leading clinical and experimental
researchers. Not only will the finished PhD be well educated, but he/she
will have a solid foundation for a career in testing clinical issues in
experimental environments. When this project is completed, we hope to
have identified clinically relevant and non-invasive markers that lead
to a better understanding of the underlying physiological mechanisms for
SIHD.
/This PhD position is funded via doctoral grant during the first year
and doctoral studentship during the last three years, and leads to a
doctoral degree./
Automatic lesion detection in brain images
Type of employment: Fixed-term employment, 4 years if full-time studies
Extent: 100 %
Location: Sahlgrenska Academy, Göteborg
First day of employment: As agreed
Reference number: UR 2014/17
http://www.gu.se/english/about_the_university/announcements-in-the-job-appl…
A well-established and validated approach to anatomical image
segmentation is to use image registration to propagate anatomical labels
from multiple atlases to a target (patient) image. We have developed
MAPER, a tool that implements this approach for the segmentation of
structural magnetic resonance images of the brain. MAPER is currently
the most accurate and robust method for segmenting the whole of the
human brain into its constituent structures. We have shown its
usefulness in particular for measuring markers of neurodegeneration, for
example in Alzheimer's disease.
The drawback of atlas-based segmentation methods is that some injuries
or disease processes lead to the appearance of focal brain lesions
(edema, bleeding, tumours, etc.). These are not normally represented in
the atlases, and are therefore frequently mislabelled. Addressing this
problem will potentially lead to novel applications of automatic image
analysis: decision support in the management of stroke, quantitative
monitoring of recovery after head injury or brain surgery, objective
evaluation of the changes caused by brain tumours and brain cancer
treatment, measurement of disease progression in multiple sclerosis,
seizure focus identification in epilepsy, and many others. The goal of
this project is to develop the capability of automatically detecting and
measuring lesions and to validate it on real-world imaging data that we
will access through collaborations with clinical experts in the relevant
diseases.
/This PhD position is funded via doctoral grant during the first year
and doctoral studentship during the last three years, and leads to a
doctoral degree.
--
/
Rolf A Heckemann, MD PhD
Professor of Medical Imaging and Image Analysis
MedTech West <http://www.medtechwest.se> at Sahlgrenska University Hospital
University of Gothenburg
Sweden
Dear Users
This afternoon (4.15 pm in YNiC open plan) there will be a project
proposal presentation given by Charlotte Murphy. The title of
Charlotte's talk is "Flexible Retrieval and Representation of Amodal
Concepts".
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
Hi,
For all of this term, YNiC open plan will be very busy on Thursdays,
especially between 11-1 and 2-4. This is because of MSc Cognitive
Neuroscience teaching. Non-MSc students can use open plan but will need
to be aware that teaching is taking place and please use the machines at
the back of the room. MSc students will be given priority on computers.
Please make sure that you do not leave yourself logged into machines in
open plan as we will forcibly log out users as necessary at the start of
the teaching session.
Apologies for the late sending of this email.
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
Dear YNiC users,
All YNiC users are invited to attend the next meeting of the YNiC
Science Committee, next Monday at 2pm in B204. The committee exists to
facilitate scientific work at YNiC by bringing YNiC staff and users
together to discuss support issues. Users who would like to raise a
particular issue for consideration at this meeting should contact the
Chair (Beth Jefferies <beth.jefferies(a)york.ac.uk>) or Secretary (Michael
Simpson <michael.simpson(a)ynic.york.ac.uk>) *in advance*, so that the
issue can be added to the agenda.
With best wishes
Beth and Michael
--
Dr Michael Simpson
Science Liaison Officer
York Neuroimaging Centre
Innovation Way
York
YO10 5DG
Tel: 01904 567614
Web: http://www.ynic.york.ac.uk
Dear Users
This Thursday (4.15 pm in YNiC open plan) there will be a project
proposal presentation given by Charlotte Murphy. The title of
Charlotte's talk is "Flexible Retrieval and Representation of Amodal
Concepts".
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
The Eating Disorder Section of the Department of Child and Adolescent
Psychiatry, University Hospital Carl Gustav Carus, Dresden University of
Technology, Germany (Prof. Stefan Ehrlich) invites applications for a
postdoc position (full time) in neuroimaging of eating disorders with a
focus on computational neuroscience and in close collaboration with the
Collaborative Research Centre 940 "Volition and Cognitive Control:
Mechanisms, Modulators, and Dysfunctions" http://www.sfb940.de/. Our
international and multidisciplinary group conducts basic research in
neuroscience at the inter-face to clinical applications. We focus on
cognitive control, reward system and the processing of positive and
negative emotions in patients with anorexia nervosa. Some of our
projects are part of the aforementioned Collaborative Research Centre
(CRC, Steering Committee: Profs. T. Goschke, C. Kirschbaum, M. Smolka,
A. Strobel, H.-U. Wittchen).
Postdoctoral Research Position (f/m)
in Neuroimaging of Eating Disorders
To further strengthen our lab, we are seeking for a postdoc with some
experience in Computational Neuroscience, e.g. model-based analysis of
behavioral and MRI data, decoding or machine learning. Responsibilities
will also include the coordination of our ongoing clinical research
study and the acquisition, preprocessing and analysis of a range of
behavioral and magnetic resonance imaging (MRI) data. Together with a
doctoral student new functional MRI paradigms need to be programmed and
implemented. Imaging sessions will take place on the Neuroimaging
Center's 3T Siemens TIM-Trio scanner. We routinely collect high-quality
structural, diffusion, and functional MRI data. A variety of additional
information is also being collected, including neuropsychological and
psychiatric scales, physiological (SCR, eye tracking) and
endocrinological markers. Summarizing results and writing research
articles will be another central aspect of the work.
The successful applicant will work in a team of young investigators and
also start to supervise doctoral students, interns and medical students
working in the project. Thanks to the CRC the applicant will have ample
opportunity to work with peers and senior scientists in similar project
in the Medical School and the Psychology Department. In addition, the
position offers the possibility for further scientific qualification
(i.e. Habilitation).
Requirements:
. Doctoral degree (Ph.D.) in any scientific field of study with a strong
quantitative background, e.g. mathematics, informatics, statistics,
computational neuroscience, biomedical or electrical engineering (with
additional qualifications or experience in computational neuroscience a
PhD, MD or comparable degree in a relevant field such as psychology,
biology, biomedicine, medicine, biophysics or physics may also be
sufficient).
. Expertise in computational modeling of behavioral and/or imaging data
(e.g., Bayesian inference methods and statistics, hidden Markov
modeling, machine learning, reinforcement and temporal difference
learning or connectivity analyses)
. Experience in computer programming (Linux/Unix shell scripting, Python
and/or MATLAB)
. Some exposure to cognitive and emotional neurosciences
. Participation in research activities within the past years
. Publications in peer-reviewed journals
. Strong organizational skills
. Command of some basic German
The successful applicant will join a multidisciplinary team of
researchers and clinicians, will receive further training and train
doctoral students (informally).
The Salary will be consistent with levels in accordance with the German
Research Foundation (100% TV-L: E 13). Compensation includes health
insurance and vacation time.
The position is available for a start date as soon as January 20th 2014
(to be confirmed). Review of applications will begin immediately and
will continue until the position is filled. The position is guaranteed
for two to three years with the possibility of renewal after positive
evaluation. The funding has been granted for 5 years.
To apply you can use our online portal
(http://www.uniklinikum-dresden.de/bildung-und-karriere/stellenangebote/wiss…
).
The application should include a cover letter detailing professional
objectives and interests, CV (with grades and language skills), and the
names and email addresses of two references. The application can be
written in German or English. The position is open to qualified
international applicants.
Please refer to our homepage:
http://www.kjp-dresden.de/en/content/eating-disorders
, http://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_na…,
http://www.kjp-dresden.de/en/content/schizophrenia
and http://www.kjp-dresden.de/de/basic-page/publikationsliste-prof-dr-s-ehrlich
for more detailed information.
:::::::::::::::::::::::::::::::::::::::::
Dipl.-Inf. Daniel Geisler
Wissenschaftlicher Mitarbeiter
Bereich Angewandte Entwicklungsneurowissenschaften
Klinik und Poliklinik für Kinder- und Jugendpsychiatrie und -psychotherapie
Fon +49 (0)351 458-7071
Fax +49 (0)351 458-7206
Universitätsklinikum Carl Gustav Carus
an der Technischen Universität Dresden
Anstalt des öffentlichen Rechts des Freistaates Sachsen
Fetscherstraße 74 (Haus 25, Raum 233A),
01307 Dresden http://www.uniklinikum-dresden.de
Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Wilfried E. B. Winzer
Vorsitzender des Aufsichtsrates: Prof. Dr. med. Peter C. Scriba
USt.-IDNr.: DE 140 135 217, St.-Nr.: 201 145 00020
Applications are invited for a post-doctoral position to work on the
neurobiology of anxiety and fear. The Comparative Emotion Neuroscience
Group (www.bachlab.org) currently hosts 1 PostDoc, 3 PhD students, and
several support staff, and is looking for a second post-doctoral fellow.
The group’s aim is to develop formal models of animal and human
defensive emotions (panic, fear, anxiety), characterise their
neuroanatomy and the underlying neural computations using neuroimaging
techniques (fMRI, M/EEG) in humans, and apply this knowledge to
psychiatric syndromes involving pathological emotions. The laboratory
offers a friendly and collaborative research environment, a
research-dedicated 3T MRI scanner, a fully equipped
psychological/psychophysiological testing facility, access to EEG, and
collaboration with MEG and 7T MRI facilities. The position is funded for
3 years and paid according to work experience, usually in grade 18. The
lab, behavioural testing facilities, EEG, and 3T scanner are located in
the Department of Psychiatry, University of Zurich, Switzerland.
The successfull applicant will have either (a) an undergraduate degree
in physics/engineering/mathematics/computer science, and a PhD in
cognitive neuroscience, or (b) an undergraduate degree in
biology/psychology/neuroscience, and a PhD in neuroscience with a
computational or technological focus. The candidate will be experienced
in human experimentation, in particular fMRI or M/EEG.
Fluent English is mandatory, German is not. We are looking for a highly
motivated individal with interest in neurobiology who develops
independent research ideas within the group’s framework.
Starting date is 2014. Applications are accepted until the position is
filled. Applicants should send, in one merged PDF, a CV, publication
list, letter of intent with a statement of research interest, and the
name and contact of two references to:
jobs(a)bachlab.org
Dear colleagues,
The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at
the Leipzig University Hospital is offering a *PhD studentship in
computational modelling* under the supervision of Dr Jane Neumann and Dr
Annette Horstmann. Within the project, computational modelling will be
used to investigate decision-making and learning in humans by combining
genetic, behavioural and magnetic resonance imaging (MRI) data from
different modalities.
The PhD position will be based at the *Max Planck Institute for Human
Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both
Leipzig‘s long tradition in conducting neuroscientific research and the
ultra-modern equipment at the Institute provide an environment that
offers new perspectives in neuroimaging research. Further, the position
will be part of the CRCs Integrated Research Training Group. This
graduate program offers interdisciplinary qualification in various
research methods and transferable skills, and provides support in career
planning and in establishing an own scientific network.
Applicants should hold a Master's degree (or equivalent) in one of the
following disciplines: computational or cognitive neuroscience, computer
science, mathematics, physics, cognitive science or related. Prior
experience in the field of computational neuroscience and/or
neuroimaging are of advantage. Sound knowledge of statistics and
excellent programming skills are essential. A good command of written
and spoken English is requested of all applicants.
Please send your application as a single pdf-file to
_neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete
applications include cover letter, CV, letter(s) of recommendation, and
copies of university degrees and additional certificates.
Informal enquiries should be made to Dr Jane Neumann
(_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21).
The salary is based on the German E 13 TV-L salary scale. In order to
increase the proportion of female staff members, applications from
female scientists are particularly encouraged. Disabled applicants are
preferred if qualification is equal.
Deadline for application: until position is filled
Several postdoctoral positions are available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
Segmentation: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on image feature learning and segmentation. Experience on
medical image segmentation using deformable surface, level sets, and
graph cut is highly desirable. People with machine learning background
on image features and shape statistics are particularly encouraged to
apply. Strong knowledge on programming (good command of LINUX, C and
C++, scripting, and Matlab) is desirable. The research topic will be the
development and validation of segmentation methods for infant brain
segmentation and surface reconstruction.
Registration: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on feature learning and correspondence detection.
Experience on medical image registration is highly desirable. People
with experience on pairwise, group-wise and/or 4D registration are
particularly encouraged to apply. Knowledge on brain development and
also strong background on programming (good command of LINUX, C and C++,
scripting, and Matlab) are desirable. The research topic will be the
development and validation of 3D, 4D, and group-wise image registration
methods for early brain development study.
Atlas Construction: Candidates with experience on patch-based sparse
representation are encouraged to apply. The research topic will be the
development of atlas construction methods for infant brain images.
The successful candidates will be part of a diverse group including
radiologists, psychologists, physicists, biostatistician, and computer
scientists, and will build upon the group's previous work on medical
image analysis. If interested, please email resume to Dr. Dinggang Shen
(dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).
A postdoctoral position on machine learning with application to
neuroimage-based brain disease diagnosis and prediction is available in
UNC-Chapel Hill. The successful candidate should have a strong
background on Electronic Engineering, Biomedical Engineering,
Statistics, or Computer Science, preferably with emphasis on machine
learning, pattern classification, regression methods, or sparse
representation. People with strong experience on machine learning are
particularly encouraged to apply.
The successful candidate will be part of a diverse group including
radiologists, psychologists, physicists, biostatistician, and computer
scientists, and will build upon the group's previous work on medical
image analysis. The research topic will be the development and
validation of novel machine learning methods for early diagnosis and
prediction of brain disorders. Please visit group website
(http://bric.unc.edu/ideagroup) for more information.
If interested, please email resume to Dr. Dinggang Shen
(dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).
Stanford University invites applications for the position of Cognitive
Neuroscience Research Assistant in the Cognitive & Systems Neuroscience
Lab (cosyne.stanford.edu). This is an exciting opportunity to work on
brain imaging studies of cognitive function and dysfunction, cognitive
development and learning disabilities. The successful candidate will
participate in all aspects of research in the lab, including:
acquisition and analysis of functional and structural brain imaging
data, assembling and administering neuropsychological assessments,
screening and recruiting participants, obtaining informed consent,
scheduling participants for testing, tracking progress of the study and
behavioral data, verifying data and entering pertinent information into
database for statistical analysis, conducting statistical analyses, and
assisting with manuscript preparation. A minimum commitment of two years
is required. This is a full-time position with competitive benefits.
There are 2 positions open with start dates in Summer 2014. Please email
a CV and statement of research interests and career goals in PDF format
titled LastName_CV.pdf and LastName_StatementGoals.pdf to Emma Adair at
hiring.stanford.cosyne(a)gmail.com. Application deadline is March 15;
competitive candidates will be contacted for interviews starting
mid-February.
Qualifications:
Requires a BS/BA degree in psychology, human biology, neuroscience,
biomedical engineering or related fields as well as one to two years of
research experience. A strong academic record is essential. Past
research experience in cognitive neuroscience is highly desirable.
Experience with any of the following would be an added advantage: brain
imaging data acquisition, MRI data analysis, neuropsychological
assessments, computer programming, MATLAB, signal processing, and
statistical analysis. The candidate must have strong organizational and
interpersonal skills; the ability to work well with children; a
willingness to tackle complex tasks in an independent manner; and a
strong work ethic.