--- CALL FOR APPLICATIONS ---
Institution:
The International Max Planck Research School on Neuroscience of Communication now offers several positions every year for excellent students holding a Master´s or equivalent degree to perform research resulting in a PhD .
Deadline:
The call for applications of the third round - *** deadline: January 11, 2015 *** - now open.
Candidates:
The IMPRS NeuroCom aims to recruit and educate excellent young scientists who wish to extend their knowledge and research experience in a structured 3-year research programme , in order to pursue a successful career in cognitive neuroscience . The school is intended for students possessing a very good Master's (or qualified equivalent) degree in disciplines such as computer science, engineering, linguistics, mathematics, medicine, neurobiology, cognitive neuroscience, neurology, physics, psychiatry, psychology, or related fields, awarded by an internationally recognized university-level institution. Research experience is essential for successful candidates.
Admission:
The applications are evaluated by IMPRS faculty members. Interview selection is based on academic qualifications, personal references, recommendation, research experience and interests, and suitability to the programme.
Information:
Please find more information about the research school and PhD programme at: http://imprs-neurocom.mpg.de/main.html
And about the application at: http://imprs-neurocom.mpg.de/applications
Best wishes,
Katja Kirsche
--
_____________________
Katja Kirsche
IMPRS Coordinator
Internship Advisor
Max-Planck-Institute for Human Cognitive and Brain Sciences
Stephanstrasse 1A, 04103 Leipzig, Germany
Phone: +49 341 - 9940 2261
Fax: +49 341 - 9940 113
Web: www.cbs.mpg.de
IMPRS: http://imprs-neurocom.mpg.de/main.html
Internships: https://s-lotus.gwdg.de/mpg/mlnp/interns4mpicbs.nsf/bewerbung
_____________________
--
_____________________
Katja Kirsche
IMPRS Coordinator
Internship Advisor
Max-Planck-Institute for Human Cognitive and Brain Sciences
Stephanstrasse 1A, 04103 Leipzig, Germany
Phone: +49 341 - 9940 2261
Fax: +49 341 - 9940 113
Web: www.cbs.mpg.de
IMPRS: http://imprs-neurocom.mpg.de/main.html
Internships: https://s-lotus.gwdg.de/mpg/mlnp/interns4mpicbs.nsf/bewerbung
_____________________
*Cognitive Neuroscience Postdoctoral Fellowship in Mental Health*
A postdoctoral fellowship position is available at the University of
Texas at Austin, Department of Psychology and Institute for Mental
Health Research to conduct research with Drs. Christopher Beevers and
David Schnyer. This position is for two years with the possibility of
extending the fellowship or transitioning to research faculty by mutual
agreement based on job performance and funding availability. Duration
and start time are negotiable. Salary is commensurate with experience
and consistent with NIH guidelines.
We are seeking a postdoctoral fellow in cognitive neuroscience with
strong expertise in eye tracking and EEG/ERP methods who is interested
in translational research involving clinical populations. The
postdoctoral fellow will contribute to a program of research that
examines the etiology and treatment of depression in adults across
multiple levels of analyses (behavioral, genetic, neural,
environmental). Ongoing studies include dual process models of reward
and punishment processing, genetic etiology of cognitive vulnerability
to depression, and real-time neurofeedback attention training in
depressed adults. In addition to SR Research eye-tracking and Brain
Vision EEG equipment located in Dr. Beeversâ?? laboratory, the
postdoctoral fellow will have access to other cognitive neuroscience
resources at the University of Texas at Austin, including fMRI, MR
compatible EEG, TMS, and MEG.
The postdoctoral fellow will primarily be responsible for designing and
implementing EEG and eye tracking experiments, preparing manuscripts,
contributing to grant writing, and conducting analyses following data
collection. Opportunities to write manuscripts from extant datasets are
plentiful. Some staff supervision will also be expected. The fellow will
have advisors with expertise in psychopathology, cognitive neuroscience,
and grant writing. Individuals with a PhD in cognitive psychology,
cognitive neuroscience, or related fields of study are encouraged to
apply for this position. Qualifications include a 1) doctoral degree, 2)
demonstrated expertise with EEG/ERP and/or eye tracking methods, and 3)
an interest in clinical populations. Experience with Matlab (i.e.,
EEGLab, Psychtoolbox) and statistical analysis programs (R, Stata) is
also required. Excellent scientific writing skills and strong
publication records are highly desired. Applicants should be able to
work independently but should also demonstrate good interpersonal skills
and a desire to work in a highly collaborative environment.
Application materials (curriculum vita, cover letter describing research
interests and experience, three letters of recommendation) can be sent
electronically to beevers(a)utexas.edu <mailto:beevers@utexas.edu>.
Please contact Christopher Beevers (beevers(a)utexas.edu
<mailto:beevers@utexas.edu>) or David Schnyer (schnyer(a)utexas.edu
<mailto:schnyer@utexas.edu>) with inquires about this position.
--
--
David Schnyer, Ph.D.
Professor, Cognitive Neuroscience
Department Liaison for Medical Affairs
Department of Psychology, SEA 5.246
University of Texas, Austin
tel: (512) 475-8499, fax: (512) 471-5935
http://homepage.psy.utexas.edu/homepage/faculty/Schnyer
Applications are invited for a Research Assistant to participate in the
image analysis activities of the Dementia Research Centre, UCL Institute
of Neurology, in particular for a neuroimaging sub-study investigating
500 members of the MRC Lifelong Health and Ageing 1946 Birth Cohort.
Tasks will include segmentation, registration and quantification of
cerebral atrophy from MRI scans, as well as image quality control over
various MR modalities such as volumetric T1, DTI and fMRI.
In addition, the post holder will provide technical support to the team
and assist the Trials Software Development Manager as required.
Applicants should have an honours degree (min 2:1) in a relevant
scientific discipline, and advanced user level IT proficiency.
Familiarity in one or more of script writing (python, perl, bash), SQL,
web technologies (PHP, HTML) or traditional languages (C, C++) is
essential, as is an interest in developing his/her technical skill, and
a commitment to supporting high quality research. The ability to prepare
and deliver written and verbal reports of the work and research
conducted is also a requirement. Experience of UNIX/LINUX, an
understanding of research methodology and experience of brain MR image
analysis is desirable.
The post is available from January 2015 and is funded by Alzheimer’s
Research UK for one year in the first instance.
You should apply for this post through UCL's online recruitment -
www.ucl.ac.uk/hr/jobs where you can download the job description and
person specification using ref: 1444538.
(You must use the 'current employment opportunities at UCL' search,
https://static.wcn.co.uk/company/ucl/search_engine.html )
For queries relating to the application process please contact Samantha
Robinson, Personnel Officer, Institute of Neurology, 23 Queen Square,
London, WC1N 3BG (email:ion.hradmin@ucl.ac.uk).
*Cognitive Neuroscience Postdoctoral Fellowship in Mental Health*
A postdoctoral fellowship position is available at the University of
Texas at Austin, Department of Psychology and Institute for Mental
Health Research to conduct research with Drs. Christopher Beevers and
David Schnyer. This position is for two years with the possibility of
extending the fellowship or transitioning to research faculty by mutual
agreement based on job performance and funding availability. Duration
and start time are negotiable. Salary is commensurate with experience
and consistent with NIH guidelines.
We are seeking a postdoctoral fellow in cognitive neuroscience with
strong expertise in eye tracking and EEG/ERP methods who is interested
in translational research involving clinical populations. The
postdoctoral fellow will contribute to a program of research that
examines the etiology and treatment of depression in adults across
multiple levels of analyses (behavioral, genetic, neural,
environmental). Ongoing studies include dual process models of reward
and punishment processing, genetic etiology of cognitive vulnerability
to depression, and real-time neurofeedback attention training in
depressed adults. In addition to SR Research eye-tracking and Brain
Vision EEG equipment located in Dr. Beevers’ laboratory, the
postdoctoral fellow will have access to other cognitive neuroscience
resources at the University of Texas at Austin, including fMRI, MR
compatible EEG, TMS, and MEG.
The postdoctoral fellow will primarily be responsible for designing and
implementing EEG and eye tracking experiments, preparing manuscripts,
contributing to grant writing, and conducting analyses following data
collection. Opportunities to write manuscripts from extant datasets are
plentiful. Some staff supervision will also be expected. The fellow will
have advisors with expertise in psychopathology, cognitive neuroscience,
and grant writing. Individuals with a PhD in cognitive psychology,
cognitive neuroscience, or related fields of study are encouraged to
apply for this position. Qualifications include a 1) doctoral degree, 2)
demonstrated expertise with EEG/ERP and/or eye tracking methods, and 3)
an interest in clinical populations. Experience with Matlab (i.e.,
EEGLab, Psychtoolbox) and statistical analysis programs (R, Stata) is
also required. Excellent scientific writing skills and strong
publication records are highly desired. Applicants should be able to
work independently but should also demonstrate good interpersonal skills
and a desire to work in a highly collaborative environment.
Application materials (curriculum vita, cover letter describing research
interests and experience, three letters of recommendation) can be sent
electronically to beevers(a)utexas.edu <mailto:beevers@utexas.edu>. Please
contact Christopher Beevers (beevers(a)utexas.edu
<mailto:beevers@utexas.edu>) or David Schnyer (schnyer(a)utexas.edu
<mailto:schnyer@utexas.edu>) with inquires about this position.
--
--
David Schnyer, Ph.D.
Professor, Cognitive Neuroscience
Department Liaison for Medical Affairs
Department of Psychology, SEA 5.246
University of Texas, Austin
tel: (512) 475-8499, fax: (512) 471-5935
http://homepage.psy.utexas.edu/homepage/faculty/Schnyer
Dear All,
I would like to draw your attention to a PhD position. Detailed
information can be found at:
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=58652&LID=15
Best regards,
Jiabao
____________
Jiabao He, PhD
Lecturer in Magnetic Resonance Physics
Aberdeen Biomedical Imaging Centre
Lilian Sutton Building
Foresterhill
Aberdeen, AB25 2ZD
Scotland
United Kingdom
Tel: +44 (0)1224 438370
Fax: +44 (0)1224 438364
Email: jiabao.he(a)abdn.ac.uk
Website: http://www.abdn.ac.uk/ims/research/abic/profiles/jiabao.he
The University of Aberdeen is a charity registered in Scotland, No SC013683.
Tha Oilthigh Obar Dheathain na charthannas clàraichte ann an Alba, Àir.
SC013683.
FYI
Dear all,
We are looking for two new excellent staff members. See below for details:
http://www.jobs.ac.uk/job/AJZ482/lecturers-senior-lecturers/
Application deadline 14^th Dec, starting summer 2015.
Best
Pia Rotshtein, PhD
School of Psychology
University of Birmingham, UK
http://www.talkingbrains.org/ <http://www.talkingbrains.org/>
Slightly smarter than the average blog?
Philip.
**************************************************************************
Philip Quinlan E-Mail: philip.quinlan(a)york.ac.uk
Department of Psychology FAX: (01904) 323181
The University of York Tel: (01904) 320000 Ext. 3135
Heslington Direct: (01904) 323135
York
YO10 5DD
U.K.
******************************MINI***************************************
Dear Users
Tomorrow, the 20th of November, the connectivity club will be meeting at
4pm in BO20 in Psychology. This is instead of the normal ynic seminar.
The connectivity club is basically a gang of individuals from around the
university who meet from time to time to talk about... brain
connectivity. It is very informal, it varies from being a journal paper
discussion to discussing potential experiments and sometimes improbable
grant applications.
Tomorrow Miles Whittington and I are talking about canonical
microcircuits, dynamic causal modelling and connectivity. This is a
discussion about how we might overcome the shortcomings of DCM and move
towards a more practical, biophysically plausible, way of dealing with
connectivity in MEG. It is a preliminary discussion before planning a
large scale MEG data collection exercise. It is not a seminar about a
previous finished study.
All are welcome. There will be refreshments afterwards followed by an
informal discussion in the Derramore.
Gary
--
---------------
Gary Green
York Neuroimaging Centre &
Centre for Hyperpolarisation in Magnetic Resonance
The Biocentre
York Science Park
Innovation Way
Heslington
York
YO10 5NY
tel +44 (0) 1904 435349
fax +44 (0) 1904 435356
mobile +44 (0) 788 191 3004
http://www.ynic.york.ac.ukhttp://www.york.ac.uk/chym/https://www.ynic.york.ac.uk/about-us/people/ggrg
PA : Jill Hurst
tel +44 (0) 1904 435329
fax +44 (0) 1904 435356
Jill.Hurst(a)ynic.york.ac.uk
Post-Doctoral Fellow Position:
Applications are currently being invited for a Post-Doctoral Fellow
position available in the Computational Neuroimaging Lab (CNL;
http://computational-neuroimaging-lab.org) at the Child Mind Institute,
under the direction of Cameron Craddock, PhD. The overarching goal of
the CNL’s research is the identification of objective imaging-based
markers of pathology to facilitate the diagnosis and treatment of
psychiatric illness. The primary responsibility of this position is to
develop novel analytical methods that integrate information from a
variety of imaging modalities (resting state and task fMRI, real-time
fMRI, EEG, DTI, structural MRI), with brain stimulation techniques
(tDCS, tACS, TMS), and phenotypic variables for the characterization of
brain development and function in clinical and non-clinical populations.
To facilitate their research, fellows will work as a part of a highly
collaborative and multidisciplinary team that integrates a broad range
of disparate specialties (e.g. cognitive neuroscience, clinical
psychology, computer science, engineering, mathematics).
Responsibilities:
• Large-scale analysis of fMRI, simultaneous EEG/fMRI, DTI and
structural neuroimaging data.
• Develop and maintain open source software tools for preprocessing,
analyzing, and curating neuroimaging data.
• Author manuscripts and presentations describing accomplished research.
• Supervise junior level researchers and graduate students.
Qualifications:
• PhD in biomedical engineering, cognitive science, electrical
engineering, mathematics, or physics.
• Significant prior neuroimaging experience with MRI, with strong skills
in preprocessing and analyzing neuroimaging data using one or more of
the common neuroimaging packages (e.g., AFNI, FSL, Freesurfer, Diffusion
Toolbkit, or SPM).
• Programming experience in C/C++, Matlab, Python, and similar platforms.
• Motivated self-starter with great attitude and flexibility.
• Ability to work in a fast paced environment.
Salary and Anticipated Start Date:
Salary is competitive and commensurate with experience/educational
qualifications. Benefits include health, vision, and dental.
Anticipated Start Date is immediate.
Application details:
Please email cameron.craddock(a)childmind.org to apply, please include a
CV including the names of 3 references with your inquiry.
Employment at Will Relationship: This position description does not
constitute a guarantee that employment will continue for any specified
period of time. Rather, employment is at the mutual consent of the
employee and CMI, and can be terminated at will by the employee or by CMI.
CMI reserves the right to modify the job description and/or reporting
relationship at any time.
CMI is an Equal Opportunity Employer. CMI is committed to recruiting and
maintaining a diverse staff; individuals from all backgrounds are
strongly encouraged to apply.
--
Cameron Craddock, PhD
Director of Imaging, Center for the Developing Brain
Child Mind Institute
childmind.org
445 Park Avenue (entrance on 56th Street)
New York, NY 10022
Director, Computational Neuroimaging Laboratory
Nathan S. Kline Institute for Psychiatric Research
www.rfmh.org/nki
1040 Old Orangeburg Road
Orangeburg, NY, 10962
This email message, including any attachments, is for the sole use of
the intended recipient(s) and may contain information that is
proprietary, confidential, and exempt from disclosure under applicable
law. Any unauthorized review, use, disclosure, or distribution is
prohibited. If you have received this email in error please notify the
sender by return email and delete the original message. Please note, the
recipient should check this email and any attachments for the presence
of viruses. The organization accepts no liability for any damage caused
by any virus transmitted by this email.
Research Assistant Position:
Applications are currently being invited for a Research Assistant
position available in the Computational Neuroimaging Lab
(http://computational-neuroimaging-lab.org) at the Child Mind Institute,
under the direction of Cameron Craddock, PhD. Responsibilities will
include developing open source software to implement algorithms for data
analysis and preprocessing, data-base management, imaging quality
control, data-analysis, and assisting with coordinating data-sharing
initiatives. Applicants should have a B.S. in electrical engineering,
biomedical engineering, computer science, or other related scientific
fields. The ideal candidates will have prior research experience, strong
interpersonal skills, strong written and oral communication, the ability
to work as a member of a team as well as independently, and a keen
interest in neuroscience.
Qualifications:
• B.S./B.E. in electrical engineering, biomedical engineering, computer
science, or other related scientific fields.
• Strong programming skills in C, C++, Python, Matlab, or similar languages.
• Prior research experience (preferred).
Salary and Anticipated Start Date:
Salary is competitive and commensurate with experience/educational
qualifications. Benefits include health, vision, and dental.
Anticipated Start Date is immediate.
Application details:
Please email cameron.craddock(a)childmind.org to apply, please include a
CV including the names of 3 references with your inquiry.
Employment at Will Relationship: This position description does not
constitute a guarantee that employment will continue for any specified
period of time. Rather, employment is at the mutual consent of the
employee and CMI, and can be terminated at will by the employee or by CMI.
CMI reserves the right to modify the job description and/or reporting
relationship at any time.
CMI is an Equal Opportunity Employer. CMI is committed to recruiting and
maintaining a diverse staff; individuals from all backgrounds are
strongly encouraged to apply.
--
Cameron Craddock, PhD
Director of Imaging, Center for the Developing Brain
Child Mind Institute
childmind.org
445 Park Avenue (entrance on 56th Street)
New York, NY 10022
Director, Computational Neuroimaging Laboratory
Nathan S. Kline Institute for Psychiatric Research
www.rfmh.org/nki
1040 Old Orangeburg Road
Orangeburg, NY, 10962
This email message, including any attachments, is for the sole use of
the intended recipient(s) and may contain information that is
proprietary, confidential, and exempt from disclosure under applicable
law. Any unauthorized review, use, disclosure, or distribution is
prohibited. If you have received this email in error please notify the
sender by return email and delete the original message. Please note, the
recipient should check this email and any attachments for the presence
of viruses. The organization accepts no liability for any damage caused
by any virus transmitted by this email.