Research Assistant Position - Nathan S. Kline Institute for Psychiatric
Research (http://www.rfmh.org/nki/)
Applications are currently being invited for 2-year research assistant
positions available at the Nathan S. Kline Institute (NKI) starting this
summer. The NKI makes use of innovative MRI-based imaging approaches to
characterize brain maturation across the lifespan, with a particular
focus on understanding the impact of psychiatric illnesses on
maturational and aging processes
(http://fcon_1000.projects.nitrc.org/indi/enhanced/). Additionally, the
NKI is dedicated to the support of open-datasharing initiatives, such as
the 1000 Functional Connectomes Project and the International
Neuroimaging Data-sharing Initiative (INDI;
http://fcon_1000.projects.nitrc.org/ ). The NKI fosters a collaborative
environment where research assistants have the opportunity to gain
excellent clinical and research experience, with the potential for
publication. Salary is competitive and benefits include health, vision,
and dental.
Responsibilities will include MRI scanning, assisting with behavioral
and psychiatric assessment, file-handling, scripting (Python, Matlab),
imaging quality control and processing, data-analysis, and assisting in
coordinating data-sharing initiatives . Applicants should have a B.S. or
B.A. in computer sciences, engineering, neuroscience, psychology or
other related scientific fields. The ideal candidates will have prior
research experience, strong interpersonal skills, strong written and
oral communication, and the ability to work as a member of a team as
well as independently. Technical skills are a plus, but not required.
We are accepting applications and interviewing immediately.
Start date: Summer, 2012
Please contact Dr. Michael Milham (mmilham(a)nki.rfmh.org). Please attach
a resume or CV, including the names of 3 references, to your inquiry.
POSTDOCTORAL POSITION AVAILABLE AT THE NATHAN KLINE INSTITUTE
============================================================
Applications are currently being invited for a minimum 2-year
postdoctoral fellow position available at the Nathan S. Kline Institute
(NKI) starting in September, 2013. The NKI makes use of innovative
MRI-based imaging approaches to characterize brain maturation across the
lifespan, with a particular focus on understanding the impact of
psychiatric illnesses on maturational and aging processes
(http://fcon_1000.projects.nitrc.org/indi/enhanced/). Additionally, the
NKI is dedicated to the support of open-datasharing initiatives, such as
the 1000 Functional Connectomes Project and the International
Neuroimaging Data-sharing Initiative (INDI;
http://fcon_1000.projects.nitrc.org/ ). Salary is competitive and
benefits include health, vision, and dental.
Candidates should be interested in the application of discovery-science
based approaches to the study of human brain function and the
characterization of brain development and maturation in clinical and
non-clinical populations. The overarching goal of our work is to
identify objective imaging-, phenotypic- and genetic-based markers of
pathology that will eventually serve to facilitate the detection of
psychiatric illness and/or guide clinicians in the selection of
treatments and determination of treatment response. The fellow will be
expected to take a multidisciplinary approach to their work, drawing
from a broad range of disciplines (e.g., clinical psychology, cognitive
neuroscience, computer science, engineering, mathematics,
neuropsychology). In order to facilitate this process, they will work as
part of a multidisciplinary team, integrating findings obtained from a
variety of imaging approaches including: resting state functional MRI,
simultaneous EEG/fMRI, diffusion tensor imaging, cortical thickness,
volumetrics.
Qualifications
The minimum qualifications for a successful candidate include:
- completed PhD in biomedical engineering, electrical engineering,
computer, cognitive neuroscience, or related fields;
- significant prior neuroimaging experience with functional MRI and/or
or EEG
- strong skills in usage of one or more common functional neuroimaging
(FSL, SPM,
AFNI) packages
- Programming experience in Python, Matlab, C/C++ or similar platform is
a plus
Anticipated start date: September, 2013
If interested, please contact me at mmilham(a)nki.rfmh.org
An NIH-funded postdoctoral position is available immediately in the UCLA
Department of Psychiatry and Biobehavioral Sciences and the Semel
Institute for Neuroscience and Human Behavior to study the neural
phenotypes associated with emotion regulation and visual perception in
disorders of body image.
Description: Our lab uses functional and structural neuroimaging (task
and resting state fMRI, cortical thickness and volumetric analyses, DTI,
and EEG) and physiological experiments to understand psychiatric
phenotypes (see http://www.semel.ucla.edu/bdd/current-research). The
current project involves elucidating how aberrant brain network and
connectivity properties relate to visual perceptual distortions and
abnormal emotional regulation in body dysmorphic disorder and anorexia
nervosa. We are also employing and developing novel multimodal imaging
techniques using advanced computational modeling. UCLA has a wealth of
neuroimaging (see
http://www.brainmapping.org<http://www.brainmapping.org/>) and clinical
resources. You will be joining a productive and collaborative group that
utilizes advanced neuroimaging techniques yet is also grounded in a
strong clinical understanding of phenomenology of psychiatric
populations. The post doc will have the opportunity to take the lead on
a project involving functional connectivity and network analysis of
emotional regulation, as well as pursue a self-directed project.
Requirements: Ph.D. in a neuroscience-related field or psychology, M.D.,
or M.D./Ph.D. (post residency). We are looking for candidates with
experience in the design, collection, and analysis of fMRI data,
including statistical analysis software such as FSL, SPM, or others. The
successful applicant will be able to function independently, supervise
students and research assistants, have excellent verbal and written
English skills, computing and programming skills (Matlab, Unix), and a
strong aptitude for writing manuscript and grant applications.
To apply: please send a letter of interest, C.V., and a research
statement (no longer than 2 pages) that describes your past research
experience and future goals, and three letters of reference sent in
confidence to Dr. Jamie Feusner: jfeusner(a)mednet.ucla.edu
________________________________
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Post-Doctoral Position in MR Physics at the Child Mind Institute
================================================================
Applications are currently being invited for a Post-Doctoral Fellow
position available at the Child Mind Institute. This position reports to
Cameron Craddock PhD, Director of Imaging in the Center for the Developing
Brain. The Child Mind Institute makes use of innovative MRI- and EEG-based
imaging approaches to characterize brain maturation across the lifespan,
with a particular focus on understanding the impact of psychiatric
illnesses on maturational processes. Additionally, the Child Mind Institute
is dedicated to the support of open-datasharing initiatives, such as the
International Neuroimaging Datasharing Initiative
(http://fcon_1000.projects.nitrc.org/) and Enhanced Nathan Kline Institute
Rockland Sample ( http://fcon_1000.projects.nitrc.org/indi/enhanced/).
The Child Mind Institute is currently recruiting a post-doctoral fellow
with a strong background in Magnetic Resonance (MR) Physics to develop and
optimize acquisition strategies for functional MR Imaging. The project¹s
overarching goal is to develop novel fMRI experimental paradigms to
elucidate mechanisms underlying psychiatric illness in pediatric
populations. To this end, we are currently developing scanner software for
real-time fMRI, and performing a comprehensive evaluation of low-TR fMRI
acquisition strategies. In support of this mission, the fellow will be part
of a multidisciplinary team that includes MR physicists, neuroscientists,
clinicians and computer scientists. The position is located at CMI
headquarters in New York City. This is an exempt, full time position with
competitive salary and benefits.
Responsibilities:
€ Develop and implement sequence programs and image reconstruction software
on a Siemens 3T TIM Trio.
€ Develop and maintain software to support real-time fMRI.
€ Large-scale analysis of fMRI, DTI and structural neuroimaging data.
€ Author manuscripts and presentations describing accomplished research.
€ Work in a multidisciplinary environment, drawing from a broad range of
disciplines and imaging approaches.
€ Supervise junior level researchers and graduate students.
Qualifications:
€ PhD in biomedical engineering, electrical engineering, medical physics,
physics or related field.
€ Demonstrated skills in MRI pulse sequence programming and image analysis
algorithm development.
€ Significant prior functional MRI experience.
€ Proficiency in C/C++ and Matlab programming.
€ Strong skills in using of one or more common functional neuroimaging
packages (e.g., AFNI, FSL, or SPM).
€ Experience with the Siemens IDEA programming framework (preferred but not
required).
€ 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 send a CV including the names of 3 references with your inquiry to
cameron.craddock(a)childmind.org.
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
Assistant: Karina Febre
p: 212.308.4342
e: karina.febre(a)childmind.org
Speak Up for Kids: childmind.org/speakup <http://childmind.org/speakup> |
Find us on Facebook: facebook.com/ChildMindInstitute
<http://facebook.com/ChildMindInstitute> | Follow us on Twitter:
twitter.com/ChildMindDotOrg <http://twitter.com/ChildMindDotOrg>
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transmitted by this email.
Assistant Research Scientist Position at the Child Mind Institute
=================================================================
Job Summary:
Applications are currently being invited for an Assistant Research
Scientist position available at the Child Mind Institute, under the
direction of Cameron Craddock, PhD. The Child Mind Institute makes use of
innovative MRI- and EEG-based imaging approaches to characterize brain
maturation across the lifespan, with a particular focus on understanding
the impact of psychiatric illnesses on maturational processes.
Additionally, the Child Mind Institute is dedicated to the support of
open-datasharing initiatives, such as International Neuroimaging
Datasharing Initiative (http://fcon_1000.projects.nitrc.org/) and Enhanced
Nathan Kline Institute – Rockland Sample (
http://fcon_1000.projects.nitrc.org/indi/enhanced/).
The Child Mind Institute is currently recruiting an Assistant Research
Scientist whose primary responsibility will be the acquisition and analysis
of fMRI and EEG data. The principle requirement for the position is
sufficient technical skills to independently develop software to implement
novel data analysis strategies and task-based stimulus paradigms. The
incumbent will be expected to perform large-scale neuroimaging analyses
(both fMRI and EEG) with limited supervision. They must be able to: (1)
work effectively in a very collaborative and multidisciplinary environment;
(2) participate in writing scientific manuscripts; and (3) orally present
their work. As their experience grows they will also be expected to
supervise junior researchers.
Responsibilities:
- Implement novel signal processing, machine learning, and statistical
methods in Python and C/C++.
- Perform analysis on very large fMRI, MRI, DTI and EEG datasets using high
performance computing infrastructures.
- Develop and maintain a real-time fMRI system.
- Participate in the design, implementation and performance of human
neuroimaging experiments, both EEG and MRI.
- Write journal publications and orally present research findings.
- Mentor and in some cases supervise junior lab members such as other
research associates and graduate students.
Qualifications:
- MS in Electrical Engineering, Biomedical Engineering, Computer
Engineering, Physics, Computer Science, or other related scientific
fields.
- Proficient in programming C/C++ and Python.
- Strong skills in using data analysis tools such as Matlab and R.
- Previous experience with MRI and EEG is preferred.
- Knowledge of neuroscience (cognitive and clinical) is a plus.
- Prior research experience (preferred).
Salary and Anticipated Start Date:
Salary is competitive and commensurate with experience/educational
qualifications. Benefits include health, vision, and dental. Applications
and interviews will begin immediately, anticipated start data is April 2,
2013.
Application details:
Please send a resume or CV including the names of 3 references with your
inquiry to cameron.craddock(a)childmind.org.
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
Assistant: Karina Febre
p: 212.308.4342
e: karina.febre(a)childmind.org
Speak Up for Kids: childmind.org/speakup <http://childmind.org/speakup> |
Find us on Facebook: facebook.com/ChildMindInstitute
<http://facebook.com/ChildMindInstitute> | Follow us on Twitter:
twitter.com/ChildMindDotOrg <http://twitter.com/ChildMindDotOrg>
---
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.
FYI
A Neuroimaging Research Technician position is available in the VA
Boston Healthcare System (VABHS) Neuroimaging Research for Veterans
(NeRVe) Center. The Neuroimaging Research Technician will provide
technical support for image preprocessing and analysis (using programs
such as FSL and FreeSurfer), maintenance and development of in-house
custom processing codes (script writing in unix/linux, matlab, etc), and
assist staff members in the conduct of neuroimaging research as well as
administrative tasks related to the Center. This includes developing
expertise and training other investigators with the operation of current
MRI hardware (scanner console, goggles, headphones, BioPac system, etc)
and software for data processing and analysis. Additional
responsibilities will include management of online documentation and
center resources. Technical skills and familiarity with Linix/Unix,
Matlab, and imaging software packages such as FSL and FreeSurfer is
beneficial. Applicants should have a minimum of a Bachelor’s degree,
with a background in Neuroscience, Computer Science, Engineering, Math
or Physics. A two year commitment is required.
Interested candidates should email a cover letter, resume, and contact
information for two professional references to Emily Lindemer at
emily.lindemer(a)va.gov .
FYI
A Neuroimaging Data Manager position is available in the VA Boston
Healthcare System (VABHS) Neuroimaging Research for Veterans (NeRVe)
Center. The candidate will be responsible for effective management and
maintenance of neuroimaging data within the NeRVe Center infrastructure.
Responsibilities include provisioning, management of neuroimaging
software, and operation, and maintenance monitoring of neuroimaging
systems including individual and group file permission management. The
individual will also contribute to the innovative development of the
neuroimaging Center infrastructure. The individual will ensure that
neuroimaging hardware, operating systems, software, and related
procedures adhere to internal research standards.
This individual will assist project teams with technical issues in
neuroimaging data analysis and data management including backups and
archiving. These activities include Linux shell scripting and more
advanced coding, determining neuroimaging needs and strategies, and
necessary testing of imaging systems. The individual should be trained
in Linux, Windows and Macintosh operating systems. Applicants should
have a minimum of a Bachelor’s degree, with a technical major, such as
engineering or computer science. Certification in Linux/Unix, Macintosh,
and/or Microsoft would be beneficial, as would prior data management or
neuroimaging experience.
Interested candidates should email a cover letter, CV, and degree
transcripts to Emily Lindemer at emily.lindemer(a)va.gov .
If you have trouble viewing or submitting this form, you can fill it out
online:
https://docs.google.com/a/york.ac.uk/spreadsheet/viewform?fromEmail=true&fo…
EEG Workshop/Interest Group
I'm interested in finding out whether anyone in the department would like
to attend an EEG workshop run by the ECR. This workshop would be primarily
be aimed at those who have not used EEG before at York, or do not have much
previous experience with EEG. I'm also interested in finding out whether
users of EEG (past, present, or future) would be interested in attending
regular research group meetings to discuss EEG papers, methods, analyses,
findings, or anything else that you would like to discuss! If either of
these interest you, please fill in the form below. Your username will
recorded so that I can target future emails without spamming the whole
department!
Your york.ac.uk username will be recorded when you submit this form.
What is your level of previous EEG experience? *
Never used EEG before and not planning to use it in the near future
Never used EEG before, but planning to use it in the near future
Some recent EEG experience, but not much past EEG experience
Have used EEG in the past, but not currently using it
Previous experience using EEG and currently using EEG
Other:
Would you be interested in attending a talk outlining the basics of EEG?
(eg background, different types of EEG, use of departmental systems,
sourcing equipment) *
This would not interest me
I might attend this event
I would be very interested in attending this event
I could help to run this event
Would you be interested in watching a practical demonstration with someone
setting up a cap? *
This would not interest me
I might attend this event
I would be very interested in attending this event
I could help to run this event
Would you be interested in an EEG interest group with regular meetings? *
This would not interest me
I would be interested in attending regularly and would prefer these
meetings to happen once a fortnight
I would be interested in attending regularly and would prefer these
meetings to happen once a month
I would be interested in attending regularly and would prefer these
meetings to happen once a term
I might attend some of these meetings if the topic were of interest to me
Other:
If yes, what would you prefer to use these meetings for? (selet all options
that apply)
Feedback on experimental design for proposed EEG projects
Discussing EEG papers
Discussing methods for analysing EEG data
Feedback on experimental EEG results
Feedback on upcoming talks/posters to be presented at conferences
Talks from members of the group about their research
Other:
Please write any other comments or suggestions here, if you have any.
Send me a copy of my responses.
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FYI
---------------
extended deadline - 20th of March:
We are inviting applications for a postdoctoral and a PhD student
position in the Computational Neuroscience & Magnetoencephalography
group at the Biomagnetic Centre
(http://www.neuro.uniklinikum-jena.de/neuro/en/Research/Biomag.html),
Friedrich-Schiller-University of Jena, Germany.
The successful candidates will develop novel analysis methods for
Magneto- and Electroencephalography (MEG/EEG) such as connectivity
analysis, source reconstruction and advanced single trial analysis.
The positions are devoted to research only without any teaching or
administrative duties. The work will be done in collaboration with the
MEG and theoretical neuroscience groups at the Wellcome Trust Centre
for Neuroimaging in London, UK. These positions are ideal for
candidates with a computational/theoretical background and a strong
interest in collaborating with experimental researchers in neuroimaging.
The lab runs a 306 channels MEG (Neuromag Vectorview) with 128
integrated EEG sensors, a high-density EEG system, and high-performing
compute servers. In addition the group has access to a research-only
3T MRI-scanner. All experimental facilities (MEG, EEG, MRI) are
supported by experienced physics and IT staff.
The applicants should have worked in neuroscience before and be
motivated to work in a multidisciplinary team (e.g. mathematicians,
engineers, psychologists, physicians).
The postdoc applicant must have a PhD (or equivalent) in computational
neuroscience, physics, or a related field and should, ideally, have
expertise in EEG or MEG and nonlinear dynamical systems. The PhD
student should have a mathematically oriented background in
computational neuroscience, physics, or a related field but students
with a cognitive neuroscience, psychology, or related background will
be considered as well.
The starting dates for both positions are flexible. Salary is based on
German Public service regulations (postdoc TV-L E13, PhD student TV-L
E13 65%). The postdoc position is initially for two years with
possible extension; the PhD position is for three years with one year
possible extension.
Interested candidates are encouraged to get in touch at their earliest
convenience. Applications are considered until 20th of March 2013 but
reviewing of the applications will start immediately.
For questions or an informal discussion about these positions please
contact Prof. Stefan Kiebel (skiebel at biomag.uni-jena.de).
The following documents should be included in the application in a
single PDF-file and sent by email to skiebel at biomag.uni-jena.de: A
cover letter including a brief description of personal qualifications
and future research interests, curriculum vitae, and contact details
of two personal references.
--
Prof. Dr. Stefan Kiebel
Biomagnetic Center
Hans Berger Dept of Neurology
Jena University Hospital
Tel.: +49 (0) 3641 9325770
http://www.biomag.uni-jena.de
Die gesetzlichen Pflichtbestimmungen finden Sie unter
http://www.uniklinikum-jena.de/Pflichtangaben.html
Dear Users
Unfortunately the final YNiC seminar for this term has had to been
cancelled. YNiC seminars will restart next term on April 25th.
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