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.
We would like to draw your attention to an opportunity to undertake a
fully-funded Ph.D. with the Audiology and Deafness Research Group in the
School of Psychological Sciences at the University of Manchester. Please
forward this message to anyone who may be interested.
The topic is "Using health behavioural change approaches to predict and
encourage hearing aid uptake and adherence in adults with age-related
hearing loss", supervised by Professors Kevin Munro & Chris Armitage and
funded by Phonak AG. Project details can be found here:
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=54592
Please email kevin.munro(a)manchester.ac.uk for further details.
Thank you very much
Dear Users
There will be no YNiC seminars until B020 becomes available later this term.
Our next planned seminar will take place on 22nd May.
Please see our website for an updated list of confirmed seminars for the
summer term:
https://www.ynic.york.ac.uk/events/thursday-sessions#preview
There are also some project proposal presentations in the pipeline and I
will advertise these talks when the presenters are ready.
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
TwoResearchAssistantPositions at Children'sHospitalBoston: Pediatric and
Infant (f)MRI/developmental cognitive neuroscience/typical and atypical
reading development
GaabLab at Children'sHospitalBoston
Developmental Medicine
Children'sHospitalBoston
RESEARCHSTUDYASSISTANTS:
Children'sHospitalBoston(Harvard Medical School); Developmental Medicine
Center, Laboratories ofCognitiveNeuroscience:
A) TechnicalResearchStudyAssistantto join
theGaabLab/www.bostonchildrens.org/gaablab
<http://www.bostonchildrens.org/gaablab>/and (www.babymri.org
<http://www.babymri.org/>) to assist with all study phases of functional
and structural MRI for several projects. This includes design and
implementation of experiments; help with operation of MRI scanner,
implementation and maintenance of analysis software; technical support
for lab personnel. Advanced computer skills required. This position is
ideal for anyone considering future graduate study in cognitive
(developmental) neuroscience, computer science,cognitivescience
orneuroscience. Bachelor's Degree in computer science,
psychology,cognitivescience,neuroscience, math, or related field
required. Comfort with a heterogeneous computing environment
(Linux/Unix, Mac, and Windows) as well as some programming experience
required; knowledge of psychological experiment software (E Prime,
Presentation, etc.) and/or fMRI analyses software helpful. Demonstrable
pre-existing interest incognitiveneurosciencedesired; knowledge of
neuroanatomy or statistics helpful. Must be self-motivated and able to
work in a fast-paced, changing environment and must like working with
children. Start date June/July 2014 or later; 18 months commitment
preferred. Please send application package to Nadine
GaabNadine.gaab(a)childrens.harvard.edu
<mailto:Nadine.gaab@childrens.harvard.edu>
B) Research Study Assistant to join the Gaab Lab
/www.bostonchildrens.org/gaablab
<http://www.bostonchildrens.org/gaablab>/and (www.babymri.org
<http://www.babymri.org/>) to assist with day-to day operations and
functions and development and implementation of research procedures.
This includes subject recruitment for pediatric research studies which
will include close interaction with schools in the Boston area,
scheduling of pediatric research subjects, database maintenance,
pediatric testing (including MRI/fMRI scanning of young children and
infants [see www.babymri.org <http://www.babymri.org>]) and data
analyses (psychometrics, psychophysics and functional magnetic imaging),
stimuli design and administrative work (e.g.; preparation of internal
review board proposals). Demonstrable pre-existing interest in cognitive
neuroscience desired; knowledge of project management, psychological
experiment software (e.g.: Eprime or Presentation) or statistics
helpful. Advanced computer skills highly desirable but not required.
Bachelor's Degree in psychology, education, child development, cognitive
science, neuroscience, or related field required. Must be self-motivated
and able to work in a fast-paced, changing environment and must like
working with children and families. Start date June/July 2014 or later;
18 months commitment preferred. Please send application package to
Nadine Gaab Nadine.gaab(a)childrens.harvard.edu
<mailto:Nadine.gaab@childrens.harvard.edu>
/"If we knew what it was we were doing, it would not be called research,
would it?" A. Einstein (1879-1955)/
/Nadine Gaab, PhD/
/Assistant Professor of Pediatrics/
/Boston Children's Hospital/Harvard Medical School ///
/Department of Medicine/////Division of Developmental Medicine/
/Laboratories of Cognitive Neuroscience
1 Autumn Street (Office 643); Boston, MA 02115/
/nadine.gaab(a)childrens.harvard.edu
<mailto:nadine.gaab@childrens.harvard.edu>/
/phone: 857-218-3021/
www.childrenshospital.org/research-and-innovation/research-labs/gaab-labora…
<http://www.childrenshospital.org/research-and-innovation/research-labs/gaab…>
www.babymri.org
Dear colleagues,
the Department of Psychology of the University of Basel, Switzerland
(Center for Economic Psychology), is seeking applicants for a 3-year
Ph.D. position.
Successful candidates will get the opportunity to work towards their
Ph.D. in Psychology within a project that is funded by the Swiss
National Academy of Science (Schweizer Nationalfonds, SNF). The project,
jointly led by Dr. Sebastian Gluth and Prof. Dr. Jörg Rieskamp, will
investigate cognitive and neural mechanisms of reward-based decision and
learning processes with the use of neuroimaging tools such as fMRI and
EEG. The ideal candidate would have a M.Sc. in psychology, cognitive
science, neuroscience or a related field and should be interested in
cognitive neuroscience and quantitative research methods. Prior
experience with the analysis of fMRI/EEG data and/or with cognitive
modeling is desirable.
The position allows focusing entirely on conducting research. Applicants
will be part of an international work group and an English-speaking
environment at the University of Basel. The salary will be about 45,000
Swiss Francs (approx. 51,000 USD or 36,000 EUR) per year. Additional
resources to fund experiments and conference travels are available.
Review of applications will start on the 25^th of May and will continue
until the position is filled. Please submit applications (consisting of
a short cover letter describing your motivation, curriculum vitae, and a
letter of recommendation) to sebastian.gluth(a)unibas.ch
<mailto:sebastian.gluth@unibas.ch>. The position can start immediately
but later start dates are also possible.
The Center for Economic Psychology is directed by Prof. Dr. Jörg
Rieskamp. The lab has access to a research-dedicated 3T MR scanner, EEG-
and eye-tracking facilities. The lab is part of the growing Department
of Psychology at the University of Basel, one of the leading research
Universities in Europe. Basel is situated at the river Rhine right at
the border to France and Germany. It’s a great place to live and work.
Quality of life, health care, and public transportation meet the highest
international standards. Please do not hesitate to send us an email for
further inquiries. We are looking forward to your application!
*From: *Thomas Knoesche <knoesche(a)cbs.mpg.de
<mailto:knoesche@cbs.mpg.de>>
*Subject: **Postdoc EEG data analysis and source modeling*
*Date: *29 Apr 2014 13:02:42 GMT+2
*To: *Thomas Knoesche <knoesche(a)cbs.mpg.de
<mailto:knoesche@cbs.mpg.de>>
Dear colleagues,
would you please be so kind as to spread the job offer cited
below at your institutions and forward it to anyone whom you
know and who might be interested?
Thank you so much, Thomas Knösche
--------------------------------
The Research & Development Unit „MEG and Cortical Networks“ at
the Max-Planck-Institute for Human Cognitive and Brain Science
at Leipzig offers a position as
POSTDOCTORAL RESEARCHER
in the area of Medical Signal Processing and Biophysical Modelling.
The research project aims at the development of fast and
effective processing techniques for EEG data.
The task of the successful applicant will be to develop methods
for artefact identification and correction, spatial
interpolation and source reconstruction.
The successful applicant holds a PhD degree in informatics,
mathematics, physics, biomedical engineering, electrical
engineering or similar. Experience with the measurement and
analysis of brain signals is an advantage, but not essential. A
keen interest in the biological foundations of cognition should
be present. Decent programming skills are of importance.
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.
The position is available for 2 years. Payment is according to
the German scale TVöD 13.
The selection procedure starts as the applications come in.
Please send your application by email, citing the code number
"PD 14" to:
PD Dr.habil. Thomas R. Knösche
Max Planck Institute for Human Cognitive and Brain Sciences
Stephanstraße 1A, 04103 Leipzig, Germany
[phone: +49 341 9940-2619]
[email: knoesche(a)cbs.mpg.de <mailto:knoesche@cbs.mpg.de>]
Postdoctoral Fellowship Position in fMRI
at the Rehabilitation Institute of Chicago
in Northwestern University's Department of Physical Medicine and
Rehabilitation
Duration: 2 years (option to renew for additional years)
Start date: Summer 2014
Salary: Depends on experience, in accordance with NIH Guidelines
For further information, applicants should contact:
Jordan Grafman, Ph.D.
Director, Brain Injury Research Program
Director, Cognitive Neuroscience Laboratory
jgrafman(a)northwestern.edu
Overview:
The focus of research in the Cognitive Neuroscience Laboratory is
identifying the forms of knowledge represented in the prefrontal cortex
and related brain structures (including social processes, event parsing
and storage, planning processes, etc.), and studying functional
neuroplasticity during learning and during recovery of function after
brain injury. The operating framework to study these processes and their
disorders is based on cognitive science theory, and we combine this
approach with state-of-the-art clinical neuroscience techniques such as
structural and functional MRI, genetics, transcranial direct current
stimulation (tDCS), as well as single-pulse and repetitive transcranial
magnetic stimulation (TMS). The laboratory studies healthy volunteers as
well as a variety of patients with focal and diffuse brain damage. The
Cognitive Neuroscience Laboratory is located in the Rehabilitation
Institute of Chicago (RIC) on the Northwestern University Medical Center
campus in downtown Chicago. The laboratory provides ample opportunity
for the development of innovative, focused research and a broad
collaborative cognitive neuroscience experience.
Required Qualifications:
Position qualifications include a PhD in neuroscience, psychology, or a
related field. The successful applicant will have expertise in fMRI data
acquisition and analysis, strong skills in statistical and experimental
methods, and experience in conducting human cognitive neuroscience
research. Experience with neuroimaging analysis programs (AFNI, FSL,
SPM, or other relevant programs), stimulus presentation programs
(E-prime, Presentation, Superlab, Cogent/Psychtoolbox [MATLAB]), and
statistical analysis programs (MATLAB, R, SPSS) is also required.
Excellent scientific writing skills and strong publication records are
highly desired. Applicants should be able to work independently and with
minimal supervision, but should also demonstrate good interpersonal
skills and a desire to work collaboratively. Salary and benefits are
competitive. An earlier start time is possible. Candidates should submit
a CV, statement of interest, and three letters of recommendation to Dr.
Jordan Grafman (jgrafman(a)northwestern.edu).
Postdoctoral Research Fellowship
Behavioral Psychopharmacology Research Laboratory
McLean Imaging Center at McLean Hospital, Belmont, MA
Harvard Medical School
A National Institute on Drug Abuse (NIDA)-sponsored T32 Postdoctoral
Research Position is available in a multidisciplinary, productive and
stimulating environment with excellent research, clinical and training
resources. The focus of the training is on brain imaging (EEG, MRI, MRS,
near infrared spectroscopy (NIRS)), psychiatry and substance abuse with
an additional focus on translational research. A recent partnership with
the Martinos Center for Biomedical Imaging at the MGH, allows us to
offer training in PET as well. Current resources include clinical 3T and
4T magnets and a 9.4T small bore animal magnet.
Applicants with a background in brain imaging, computational science,
physics, methods development and imaging-related statistics are sought
and the program will be tailored to meet the individual’s needs in order
to help him/her to develop into an independent researcher with a focus
on neuroimaging of addiction or addiction psychiatry. After working with
a preceptor, the fellow will be given opportunities to conduct research
in a number of areas in order to advance his/her career development.
Fellowships are available for 2-3 years. Applicants should hold an M.D.,
Ph.D. or equivalent degree in physics/medical physics, computer science,
neuroscience, psychology, pharmacology or a related field. Minorities
and women are strongly encouraged to apply. Earliest possible start date
is July1, 2014; salary is commensurate with experience and is dictated
by NIH guidelines
(http://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-046.html).
Candidates must be US citizens or hold a green card.
Inquiries may be made to the Director of the Program, Dr. Scott E. Lukas
at 617-855-2767 or via e-mail at slukas(a)mclean.harvard.edu with a copy
to the T32 Administrative Assistant, Wendy Tartarini
(wtartari(a)mclean.harvard.edu); she may also be reached at 617-855-2174.
To set up a meeting at the OHBM meeting at Hamburg, contact Dr. Blaise
Frederick via email at bbfrederick(a)mclean.harvard.edu or Dr. Amy Janes
(ajanes(a)mclean.harvard.edu ).
PhD studentship in Psychology / Statistics: From peak to meta-analysis
map: cumulating knowledge across neuroimaging studies
Responsible:
Ruth Seurinck & Beatrijs Moerkerke, Department of Data Analysis, Faculty
of Psychology and Educational Sciences, Ghent University, Belgium
Functional magnetic resonance imaging (fMRI) is an important research
technique in psychology. Since publications of single fMRI studies have
flourished, it is increasingly recognized that progress in understanding
human brain function will not only require the acquisition of new data
but a synthesis and integration of data across studies and labs
(Yarkoni, Poldrack, Van Essen & Wager, 2010). Meta-analysis is a
promising tool to achieve this goal.
The current available procedures for fMRI data use coordinate-based
techniques where the limited amount of voxels that survive a statistical
threshold are combined into one map to determine the location in the
brain of the overall observed effect (Laird et al., 2005; Radua et al.,
2009; Wager, Lindquist, Nichols, Kober and Van Snellenberg, 2009).
However, statistical significance is not an optimal indicator for the
true underlying effect and information is only available for these
significant peak voxels. Also, there is evidence of publication bias in
fMRI studies. Studies that do not reach statistical significance are
less likely to be published and included in a meta-analysis, distorting
the results of the meta-analysis. A recent study demonstrated evidence
for publication bias in a meta-analysis of the frontal lobe in working
memory by summarizing activation in the frontal lobe (> 1000 voxels) in
a single effect size for each study (Jennings and Van Horn, 2012).
The main goal of this research proposal is to adapt coordinate-based
meta-analysis methods for fMRI data to create an informative set of
meta-analysis brain maps with a focus on effect size estimation. We will
further develop procedures for the assessment and correction of
publication bias.
This project obtained a grant from the Research Foundation Flanders
(FWO) and will be conducted in close collaboration with dr. Simone Kühn
from the Max Planck Institute for Human Development in Berlin, Germany.
Candidate
The successful candidate will hold a Master's degree in Psychology (or
related discipline) and/or Statistical Data Analysis. She/he will be
hosted within a dynamic group of researchers. She/he will be offered
excellent training and development opportunities, and will be involved
in both methodological development on meta analysis in fMRI studies as
well as the applications thereof.
Duration: 48 months
Date of start: as soon as possible
Please send your application (including a current CV, publication list,
letter of recommendation and copies of diplomas and certificates) to
Beatrijs Moerkerke. We encourage candidates to apply early.
Applications received before June 2, 2014 will be given full
consideration. Applications received after June 2 will be considered as
they arrive, until the position is filled.
Contact:
Beatrijs Moerkerke
Department of Data Analysis
Faculty of Psychology and Educational Sciences
Ghent University, Belgium
E-mail: Beatrijs.Moerkerke(a)UGent.be
References
Jennings, R. G., & Van Horn, J. D. (2012). Publication bias in
neuroimaging research: Implications for Meta-analyses.
Neuroinformatics, 10, 67-80.
Laird, A. Fox, P.M., Price, C.J., Glahn, D.C., Uecker, A.M., Lancaster,
J.L., Turkeltaub, P.E., Kochunov, P., & Fox, P.T. (2005). ALE
meta-analysis: Controlling the false discovery rate and performing
statistical contrasts. Human Brain Mapping, 25, 155-164.
Radua, J., Mataix-Cols, D., Phillips, M.L., El-Hage, W., Kronhaus, D.M.,
Cardoner, N., & Surguladze, S. (2009). A new meta-analytic method for
neuroimaging studies that combines reported peak coordinates and
statistical parametric maps. European Psychiatry, 27, 605-611.
Wager, T. D., Lindquist, M. A., Nichols, T. E., Kober, H., & Van
Snellenberg, J. X. (2009). Evaluating the consistency and specificity of
neuroimaging data using meta-analysis. Neuroimage, 45, S210-S221.
Yarkoni, T., Poldrack, R. A., van Essen, D. C., & Wager T. D. (2010).
Cognitive neuroscience 2.0: building a cumulative science of human brain
function. Trends in Cognitive Sciences, 14, 489-496.
