Please ignore/delete the email earlier entitled
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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.
1 PhD position at the MPI for Biological Cybernetics (MPI-BK), Tübingen,
Germany
One PhD position is available in a joint research project to develop a
highly innovative setup to investigate brain activity during natural arm
and finger movements using functional MRI. Movements are fundamental to
interact with our environment. Their disturbance - for example in stroke
patients - has devastating consequences on all aspects of everyday life.
While it is highly desirable to understand the neural processes
underlying even simple movements, this is an extremely challenging task
due to the space constraints in MR scanners and the co-occurrence of
motion artifacts in the EPI images.
The successful candidate will join a team consisting of partners at the
TU Munich, University of Ulm and the MPI-BK that develops an integrated
setup to tackle those limitations. His or her main responsibility will
lie on the implementation of novel motion correction schemes for EPI
imaging and the integration of the imaging part into the overall setup.
Applicants should have an MSc in physics and be experienced in MR
imaging. Good programming skills (Matlab/C/C++, favorably Siemens IDEA)
are necessary. They should enjoy working on multidisciplinary topics and
have a general interest in neuroscience.
The MPI-BK provides an excellent multidisciplinary, interactive and
collaborative research environment combining expertise in
neurophysiology (Prof. Nikos Logothetis), psychophysics (Prof. Heinrich
Bülthoff), machine learning (Prof. Bernhard Schölkopf) and MRI
methodology (Prof. Klaus Scheffler).
The position is funded for a period of 3 years according to German
Public service regulations and is immediately available. The Max Planck
Society is an equal opportunity employer: Handicapped individuals are
strongly encouraged to apply, and so are women in areas in which they
are underrepresented. Applications including a CV and a statement of
research interests and experience should be submitted to:
Prof. Klaus Scheffler
Max Planck Institute for Biological Cybernetics
Department of High-field Magnetic Resonance
Spemannstrasse 41
72076 Tübingen, Germany
Email: Tina.Schroeder(a)tuebingen.mpg.de
Posted on behalf of the CPB:
Department of Health and Human Services (DHHS)
National Institutes of Health (NIH)
National Institute of Mental Health (NIMH)
Division of Intramural Research Programs (DIRP)
Section on Childhood Neuropsychiatric Disorders (SCND)
Child Psychiatry Branch (CPB)
Staff Scientist
The Child Psychiatry Branch, in Bethesda, Maryland, is recruiting
applicants for a Staff Scientist position. As a Staff Scientist, the
primary duties will include conducting statistical analyses on clinical,
neurobiological and treatment studies carried out in the Branch. This
includes but is not limited to tasks such as maintaining the appropriate
data sets, clearly conveying statistical results and methods both orally
and in writing, reviewing and writing statistical content for manuscripts
prior to submission, and working closely with and providing statistical
support for all Branch members. The
Staff Scientist position entails 25% time allotted to pursuing individual
research interests.
The Child Psychiatry Branch is a highly productive and collaborative group
with a rich, multimodal dataset that seeks to understand
neurodevelopmental disorders, with a focus on childhood-onset
schizophrenia. There is a strong scientific and statistical computing
core facility in existence, which can benefit this work. For more
information about the Child Psychiatry Branch, please utilize the
following link:
http://www.nimh.nih.gov/labs-at-nimh/research-areas/clinics-and-labs/chp/in
dex.shtml
Interested candidates must have five years post-doctoral experience.
Applicants should have a strong background in statistics and
programming/computer science, as well as interests and experience in
neuroimaging and behavioral research. The recruit should be adept at
writing his/her own code to clean, organize, analyze, and visualize data.
Unix and python programming skills are also preferable. In addition some
highly desirable skills include: experience analyzing structural MRI,
functional MRI and/or MEG data; a solid foundation in multivariate
statistics (e.g., cluster analysis, principal components analysis,
independent components analysis), and a background in longitudinal data
analysis (e.g.,
mixed model regression/hierarchical linear modeling); proficiency in
statistical programs such as R and MATLAB and visualization methods.
SALARY RANGE: Salary is commensurate with experience and accomplishments.
BENEFITS: The federal government offers a comprehensive benefits package
including vacation, sick leave, holidays, life insurance, health benefits,
and participation in the Federal Employees Retirement
System. For more information go to new employee benefits at the NIH
(http://hr.od.nih.gov/Benefits/permanentemployee.htm) and other employee
benefits information (http://tiny.cc/saVcr).
Interested applicants should send their CV and cover letter to Dr. Judith
Rapoport, NIMH, 10 Center Drive, Bldg. 10, Rm. 3N202 (MSC-1600), Bethesda,
MD 20892 USA, or by email: rapoporj(a)mail.nih.gov
SUBMISSION DEADLINE: June 1, 2014
NIH and DHHS are Equal Opportunity Employers.