Applications are invited for two PhD positions in the Psychology
department at the University of Giessen, Germany.
The fist position is available immediately with a flexible starting
date. This position is funded by the project grant “Modulation of
value-based decision making by novelty”. The project will investigate
the influence of contextual novelty on learning and decision-making
using fMRI.
The second position will be available starting September. This position
is not associated with a specific project, giving room to the
candidate's ideas in designing experiments on motivation and decision
making.
The department offers an on-site research-dedicated 3T MRI scanner. The
successful candidate(s) will collect and analyze fMRI data using
computational models of decision-making, present the results at
scientific conferences and write scientific papers.
We are looking for highly motivated candidates with a Master’s degree
(or equivalent) in neuroscience, psychology, biology or a related field
and with a strong interest in cognitive neuroscience and the ability to
work independently. We expect programming skills and proficiency in
English; prior experience in computational neuroscience and experience
with fMRI are of advantage.
Please send your CV, transcripts or degree certificates, a brief
statement of research interests and contact details of two referees by
e-mail to bianca.wittmann(a)psychol.uni-giessen.de. Applications will be
considered until the position is filled.
Dear Spinlanders,
FIVE POSTDOCTORAL POSITIONS funded by the Wallenberg Foundation are
available at the Center for Medical Imaging and Visualization (CMIV) in
Linkoping, Sweden. CMIV (https://www.liu.se/cmiv) is a multidisciplinary
research center with a strong clinical focus, initiated by Linköping
University, the County Council of Östergötland and Sectra AB. It is
located in the University Hospital, within the clinical environment.
Suggested areas of research includes:
--- Concentration determination of neurotransmitters GABA and Glu (MRS)
--- Mechanistic modelling of the BOLD-response (fMRI)
--- Quantitative myelin mapping (qMRI)
--- Ultrafast fMRI (fMRI)
With a focus on the development of high-performance MR-methods for
diagnosing and monitoring neurodegenerative diseases (such as MS), sleep
disorders, etc.
DEADLINE FOR EXPRESSIONS OF INTEREST IS MAY 31, 2014.
Peter
Ps. Feel free to contact me if you attend ISMRM-ESMRMB 2014, I will be
there.
Peter Lundberg, PhD, Professor
University of Linköping and University Hospital of Linköping Radiation
Physics and CMIV
Postal address:
Peter Lundberg
Radiation Physics
University Hospital of Linköping
S-581 85 Linköping, Sweden
Mail peter.lundberg(a)liu.se
Ph +46-(0)10 - 103 2790
On MR-Education http://edunmrsoft.wordpress.com/
Please ignore/delete the email earlier entitled
Fwd: Cron <ydbfinance@parietal> umask 0027; LANG=en_GB.UTF-8
/var/ydbfinance/ynicdb/ynicDBRaiseInvoices --verbose
I hit the wrong button
Sorry
Gary
Dear Colleagues and prospective Students,
in a previous mail I have posted a wrong deadline with the call for 10
PhD positions at the Center for Mind/Brain Science.
The correct deadline is*Tuesday May 13th, 4:00 PM.*
*
*
*My sincere apologies. Please find below the entire corrected call.*
*
*
Jens Schwarzbach
--------------------------
*
*
The Center for Mind/Brain Sciences, University of Trento - Italy is now
accepting applications for its PhD program.
The School is offering *10 fellowships* for the three-year Doctoral Program.
*The application deadline is 4:00 p.m. May 13, 2013*.
The PhD Program has two tracks:
* Cognitive Neuroscience
* Language, Interaction & Computation
The Program is emphasizing this year applications in the field of:
* Animal Cognition
* Computational Neuroscience
* Development
* Language
* Learning/Motivation
* Neuroimaging Methods and Analysis
* Perception and Action
* Decision Making and Thinking
All courses are given in English.
CIMeC has state-of-the-art laboratories for fMRI, MEG, EEG and TMS.
The University of Trento ranks 1^st among the Italian Universities in
the rankings of Times Higher Education and CIMeC ranks 1^st for quality
of research in the ranking of the Italian National for the Evaluation of
Universities and Research (ANVUR). CIMeC has 6 ERC starting grants and 1
advanced grant.
Trento ranks 1^st in the annual survey on quality of life in Italian
cities conducted by daily Il Sole 24 Ore.
General info:http://www.unitn.it/en/drcimec/intro
Application
information: http://www.unitn.it/en/drcimec/admissions
FAQ section: http://www.unitn.it/en/drcimec/10142/frequently-asked-questions
Contact:
phd.cimec(a)unitn.it <mailto:phd.cimec@unitn.it>
jens.schwarzbach(a)unitn.it <mailto:jens.schwarzbach@unitn.it>
Dear all,
Just a reminder about the MEG/EEG meeting *this Thursday (8th)*, where
Scott will be presenting "Reactivating and Reorganising Memories in Sleep".
The meeting will take place at *12:00* in *B002*.
Best,
Emma
On 24 April 2014 16:57, Emma Holmes <eh776(a)york.ac.uk> wrote:
> Dear all,
>
> The next MEG/EEG group meeting will be *Thursday 8th May *at
> *12:00pm*
> Scott Cairney will be presenting "Reactivating and Reorganising Memories
> in Sleep".
>
> Hope to see you there!
>
> Best,
> Emma
>
> ____________________________________________
>
> Emma Holmes
> PhD Student
>
> Room B001b, Department of Psychology,
> University of York, Heslington, York, YO10 5DD, UK.
> Email: eh776(a)york.ac.uk; Tel: 01904 322879
>
>
To: SPM(a)JISCMAIL.AC.UK
Dear colleagues,
please find below a job offer for a PhD position at the University of
Regensburg, Germany. You might send it to interested students if you like.
Best regards,
Gregor
****
The University of Regensburg (Germany), Institute for Psychology,
Workgroup Experimental Psychology offers a 65 % position for a
three-year PhD project starting in October 2014 (Chair: Prof. Dr. Mark
Greenlee; Principal Investigator: PD Dr. G. Volberg). The salary will be
according to German TV-L E 13 (65 % position) payment plan.
The DFG-funded research project is on the neural basis of grapheme-color
synesthesia, a perceptual phenomenon where achromatic letters or numbers
produce a simultaneous sensation of color. Methods include
electroencephalography (EEG) and functional magnetic resonance imaging
(fMRI). Eligible job applicants must hold a masters degree (or
comparable) in psychology or neighboring disciplines. They should have
an academic background in visual neuroscience, especially in the
acquisition and analysis of EEG and/or fMRI data. Programming experience
in MatLab is advantageous. Job holders will need to recruit and test
synesthetic participants from the local student population. Good skills
in German are therefore necessary.
We can offer an active research environment, an interesting topic for
your PhD thesis, a friendly team and a UNESCO-heritage city located on
the Danube River. We are looking forward to receiving your application!
The University of Regensburg supports the reconcilability between family
and career (see http://www.uni-regensburg.de/chancengleichheit).
Physically challenged applicants will be preferred in cases of
equivalent qualification. If applicable, please convey extend and type
of disability in your résumé. Please note that the university does not
refund costs ensuing from job interviews.
Please send your application by June 1st, 2014 to PD Dr. Volberg,
gregor.volberg(a)ur.de <mailto:gregor.volberg@ur.de>. The application
should hold pertinent information about your academic career. Please
send in the application in an electronic form (pdf) and use the subject
matter „Application Synesthesia“ in the e-mail. The contact person is PD
Dr. Gregor Volberg (office hours, Wednesday 10-12, Tel. +49 941 943
3862;
http://www.uni-regensburg.de/psychologie-paedagogik-sport/psychologie-green…).
--
PD Dr. rer. nat. Gregor Volberg gregor.volberg(a)ur.deUniversity
<mailto:gregor.volberg@ur.deUniversity> of Regensburg
Institute for Experimental Psychology
93040 Regensburg, Germany
Tel: +49 941 943 3862
Fax: +49 941 943
3233http://www.psychologie.uni-regensburg.de/Greenlee/team/volberg/volberg.html
Postdoc Opening:
There is an opening for a Postdoctoral Fellow with experience in machine
learning, pattern recognition and computational modeling who is
interested in functional imaging analysis relating to Traumatic Brain
Injury (TBI). The focus of our research is to identify clinically
relevant biomarkers as diagnostic and prognostic indicators of TBI by
integrating multimodal neuroimaging and neurobehavioral measures. The
proposed work will make use of previously collected neuroimaging and
self-report symptom measures housed in a database at the National
Intrepid Center of Excellence (NICoE), in Washington, D.C. This
database contains structural and functional magnetic resonance (MR)
images from over 500 TBI patients and fluorodeoxyglucose (FDG) positron
emission tomography (PET) images for over 320 of these patients, with
additional control subjects. MEG data are also available, along with
advanced computational resources.
Responsibilities:
1. The main focus of this position is on developing and implementing
pattern recognition and machine learning tools for the analysis of MRI
and fMRI data sets.
2. Identify and develop multimodal visualization tools and statistical
models to classify and discriminate morphological features in imaging
data sets.
3. Develop and implement optimization routines to increase efficiency of
pattern detection and visualization tools.
4. Other duties include optimizing protocols, monitoring quality
control, and participating in the grant and research report authorship.
Required Knowledge, Skills, and Abilities:
Experience in machine learning techniques, image processing,
computational neuroscience, artificial intelligence, pattern
recognition, nonlinear dynamics, analyzing large neural data sets,
neural systems modeling or related areas. Expertise in MRI, fMRI, and
quantitative (morphological) MRI. Experience with statistical analysis
using a common analysis package (AFNI, FSL or SPM) preferred.
Proficiency in a scientific programming language required (e.g. IDL,
Matlab, python, C++). Incumbent should also have strong technical
writing and verbal communication skills, posses a collaborative
personality, strong attention to detail and be highly motivated. U.S.
citizenship and/or ability to pass a rigorous background check required.
Minimum Education/Training Requirements:
Applicants should have a PhD in Computer Science, Electrical
Engineering, Statistics, Machine Learning, Computational Physics,
Applied Mathematics, Computational Neuroscience, or similar.
Duration:
The duration of this position is for up to 3 years.
For informal inquiries, please contact Dr. Nathan: nathan_de(a)yahoo.com
Research Scientist Position Available
Department of Psychiatry
Columbia University
Job Description:
Applications for Research Scientist Position are currently being
invited. Candidates must have completed a PhD in cognitive
neuroscience or related field. The principal objective of our work is
use multimodal MRI techniques to enable a better understanding of the
neurobiological bases of mood and attentional disorders in children
and young adults. We also focus on the use of MRI techniques to
examine and elucidate the mechanisms by which psychiatric treatments
are effective.
Salary:
$50,000-$65,000 per year, depending on experience
Minimum Qualifications:
PhD in cognitive neuroscience or related field
Computer programming skills (e.g., in C/C++, Python, MATLAB)
Strong skills in operating of one or more common neuroimaging packages
(e.g., AFNI, FSL,
or SPM)
Additional Qualifications:
Close attention to detail
Solid communication and writing skills
Interested candidates should contract:
Jonathan Posner, MD
jep2111(a)columbia.edu
Dear all,
The Department of Neurology at the Max Planck Institute for Human
Cognitive and Brain Sciences in Leipzig and the IFB Adiposity Diseases
at the Medical Center Leipzig offer 2 PhD positions in the newly founded
Research Group “Obesity and Aging”, headed by Dr Veronica Witte. We aim
to determine the effects of obesity, dietary habits and other
lifestyle-related factors on the aging brain, and to shed light on
potential underlying mechanisms including an individual’s genetic
background. Therefore, we use functional and structural magnetic
resonance imaging (MRI), behavioural data, peripheral markers, and
genotyping in large cohorts of younger and older humans.
Under supervision, the successful applicant will work independently on
MRI analyses, statistical analyses, literature research and manuscript
drafting as well as on the development of new projects. Participation in
the group’s journal club and attendance at meetings is expected. We are
looking for a motivated, self-organized, and team-oriented PhD student,
holding a Master’s degree (or equivalent) in the disciplines
neuroscience/biomedical sciences (psychology, biology, medicine,
bioinformatics...). Previous experience in statistics, epidemiology,
dealing with large datasets, neuroimaging methods, neuropsychological
testing, neuroanatomy, imaging genetics or programming skills are an
advantage. Fluent English is necessary.
We offer the challenging, dynamic, innovative, international, and
multidisciplinary environment of the Max Planck Institute for Human
Cognitive and Brain Sciences in the beautiful city of Leipzig, with
state-of-the-art facilities for MRI (7 T and 3T) and possibilities to
engage in multiple cooperations.
Please send your application including a letter of motivation (up to one
page), CV, academic certificates and the names of 2 referees via email
to Dr Veronica Witte, witte(a)cbs.mpg.de
Deadline for application: until position is filled.
The salary is based on the E 13 TV-L salary scale (1/2). 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.
