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?…