Post-doctoral MR physics position at Imperial College London, Division
of Brain Science
Full details here:
http://www.jobs.ac.uk/job/AKV932/mr-physics-research-associate/
Imperial College London is seeking a post-doctoral MR Physicist to join
its world-class neuroimaging research programme. The post-holder will be
based within the Computational, Cognitive & Clinical Neuroimaging
Laboratory (C3NL http://www.c3nl.com/) and will have access to the
Imperial College Clinical Imaging Facility (ICCIF
http://bit.ly/1Axf2Nv). C3NL brings together computational scientists,
psychologists and clinicians to deliver translational neuroimaging
research including combined MR/EEG/brain stimulation and real-time
functional MRI. The post-holder will be encouraged to develop their own
research program in an aligned area.
The ICCIF offers Magnetic Resonance Imaging (MRI) and Positron Emission
Tomography (PET). A wide-range of imaging projects are conducted in the
unit and there will be opportunities to collaborate with leading
academic and clinical scientists. A proportion of your time will be
dedicated to supporting the MR requirements of projects within the ICCIF.
There are also a number of exciting new imaging initiatives in PET and
MRI on the Hammersmith Campus. A new small animal imaging facility is
open with 9.4 Tesla MRI and small-bore SPECT/PET and CT. Funding is in
place for a clinical combined MRI/PET system, which will be based within
Imanova, also on the Hammersmith Campus. There will also be the
opportunity to link with MR and image processing research within the
Departments of Computing and Engineering at Imperial College.
Ideally you will have experience in MR pulse sequence programming and
methodology development in areas such as fMRI, diffusion tensor imaging,
dynamic-MRI and ASL-based perfusion imaging.
A PhD or equivalent in Medical Physics or a closely related discipline
is required.
This is a full-time position based at the Hammersmith Campus, funded for
two years in the first instance, with the expectation of further
competitive funding as the group develops.
Please contact Professor David Sharp to informally discuss the post
(david.sharp(a)imperial.ac.uk).
Our preferred method of application is online via our website at
http://www3.imperial.ac.uk/employment (please select “Job Search” then
enter the job title or vacancy reference number into “Keywords”). Please
complete and upload an application form as directed quoting reference
number HM2015055.
James H Cole, PhD
C3NL
Division of Brain Sciences
Department of Medicine
Imperial College London
3-Year Post-Doc position at the Centre for Cognitive Neuroimaging,
Glasgow, UK
We are seeking a candidate to perform neuroimaging studies (fMRI/MEG) on
auditory perception in the context of a 3-year projected entitled, “The
neural representation of vocal emotion: representational similarity
analysis and information-theoretic approaches”. The study is performed
in a leading neuroimaging facility (http://www.ccni.gla.ac.uk/) under
the supervision of PIs Pascal Belin and Joachim Gross, co-investigators
Bruno Giordano, Philippe Schyns and Sonja Kotz and in collaboration with
an international team of experts ( Niko Kriegeskorte, Didier Grandjean,
Stefano Panzeri).
Candidates will be working in an interdisciplinary environment and will
take over large parts of the project incl. data acquisition, data
analysis, and dissemination. Ideal candidates have a PhD in a relevant
subject area, and extensive and up-to-date theoretical and practical
knowledge of MEG/EEG and/or fMRI, signal processing using Matlab,
general neuroimaging experience as well as knowledge of the current
literature in the fields of emotion and auditory perception. Experience
with representational similarity analysis and/or Information Theory is
desirable but not essential.
This position is funded for 3 years at UK RA Salary Grade 7 (£33,242 –
£37,394 per annum).
Please see job description and apply online at www.glasgow.ac.uk/jobs
Reference Number: 010278
Closing date: 30 April 2015
Questions may be directed to the PIs: Joachim.Gross(a)glasgow.ac.uk or
pascal.belin(a)univ-amu.fr
Dear users,
At the last meeting of the YNiC Science Committee, it was noted that users
sometimes book MRI in a way that leaves small gaps between sessions. These
periods of time then become unproductive.
MRI is really busy so it is important that we make the best use of scanner
time. When you book the scanner, please do your utmost to avoid gaps
between projects whenever possible.
Don't forget, users can come to the YNiC Science Meeting to raise concerns
of this kind, to ask questions and to make proposals. The next meeting will
take place on 27th April at 2pm, in Psychology room B002. You can also send
items for discussion to me in advance (beth.jefferies(a)york.ac.uk).
With thanks and best wishes
Beth
--
Beth Jefferies
Department of Psychology, University of York, UK
+44 01904 324368
Please see the two available job listings below:
_Postdoctoral Fellow and Research Technician Positions in
Neurorehabilitation_
The Neural Plasticity and Neurorehabilitation Laboratory (NPNL) of the
University of Southern California, directed by Dr. Sook-Lei Liew, is now
looking for *(1) a Postdoctoral Fellow* and *(2) a Research Technician*.
The laboratory is devoted to the study of neuroplasticity and motor
learning in healthy individuals and individuals after stroke. The
overall aim is to understand mechanisms of brain plasticity and to apply
this knowledge to the development of novel interventions to enhance
recovery after stroke. The laboratory utilizes behavioral and
non-invasive brain stimulation techniques, such as transcranial magnetic
stimulation (TMS) or transcranial electric stimulation (tES, including
tDCS, tAS, and tRNS), and neuroimaging (such as functional magnetic
resonance imaging (fMRI) and electroencephalography (EEG)). Research
will also entail working with a number of community and clinical
partners throughout Los Angeles, California. More information about the
NPNL can be found at http://npnl.usc.edu <http://npnl.usc.edu/>.
The ideal candidate should have, or will soon have, a doctoral degree in
a relevant scientific discipline for the Postdoctoral Fellowship and a
bachelors or masters degree for the Research Technician position. The
successful applicant should be highly motivated, organized, willing to
learn, and possess strong written and verbal communication skills.
Technical knowledge with Matlab and other programming languages (python,
Linux, C++), an understanding of research methodology, and experience
with neuroimaging and/or brain stimulation data acquisition and analysis
is strongly preferred.
Both positions are full-time, one-year (renewable) positions, preferably
with a 2 year commitment, and can start as early as April/May 2015.
For further information about these positions or to apply, please send a
brief cover letter and CV to Sook-Lei Liew, PhD, OTR/L at sliew(a)usc.edu
<mailto:sliew@usc.edu>.
Thank you.
A research assistant position will be available starting late spring/
summer of 2015 in the Translational Research in Affective Disorders
Laboratory in the Department of Psychology at Emory University
(http://tinyurl.com/TReADLab). The position will focus on implementation
of a new NIMH-funded study using functional and neurochemical imaging to
examine mechanisms of reinforcement learning in depression.
Responsibilities will include assisting with all aspects of research
(designing/programming experiments, recruiting/running participants,
analyzing behavioral and neuroimaging data), grant and IRB
administration. This is an excellent position for anyone seeking
research experience and training in clinical and cognitive neuroscience
before applying to graduate programs.
Necessary skills/qualifications: A bachelor's degree or higher in
cognitive science, neuroscience, computer science, psychology, math,
biology, or other related field. Strong computer programming skills
(especially MATLAB and/or Python) are required. Candidate should be
self-motivated, independent, and reliable. Strong organizational and
communication skills are also essential. Prior experience in human
affective, clinical or cognitive neuroscience (e.g., conducting and
analyzing fMRI or MRI studies), behavioral experiment administration,
IRB management, or clinical interviewing experience will all be viewed
positively, but are not required. The position is for a two-year commitment.
Interested parties should email a CV, names of relevant professional
references, and a brief statement of interest. Start date is flexible.
------------------------------------------------------------------------
Michael T. Treadway, PhD
Assistant Professor
Department of Psychology
Emory University
mtreadway(a)emory.edu
p: 404.727.3166
c: 781.392.4145
http://tinyurl.com/TReADLab
*Postdoctoral Research Associate*
*University of Florida*
The Laboratory for Rehabilitation Neuroscience (lrnlab.org) and
Neuromuscular Physiology Laboratory
(www.neuromuscularphysiologylab.com), located in the Department of
Applied Physiology and Kinesiology, College of Health and Human
Performance, at the University of Florida seeks a candidate for a NIH
funded postdoctoral position in motor neuroscience using functional MRI,
motor unit physiology, and behavioral motor control. The specific focus
of the research is to investigate how spinocerebellar ataxia affects
brain circuits and connectivity and how this relates to motor unit
action potentials and behavior.
QUALIFICATIONS: The candidate should have a Ph.D. in motor control,
bioengineering, neuroscience, psychology, or related field. Expertise in
using fMRI, electrophysiology, motor control, and/or cognitive
neuroscience is highly desirable. Ability to work with patients with
movement disorders, and/or strong evidence of writing ability will be
important.
APPLICATION: Applications must be submitted online at:
http://jobs.ufl.edu/postings/63268and should include a cover letter,
curriculum vitae, and email address of three references. Please send
inquiries to Dr. Evangelos Christou (eachristou(a)ufl.edu
<../../../AppData/Local/Microsoft/Windows/Temporary%20Internet%20Files/Content.Outlook/XF2EUJNE/eachristou(a)ufl.edu>)
or David Vaillancourt (vcourt(a)ufl.edu <mailto:vcourt@ufl.edu>).
Application deadline date is May 15, 2015, and applications will be
considered beginning April 1, 2015.
Two Post-Doctoral Fellow positions are available in the CMI/NKI
Computational Neuroimaging Lab (CNL;
http://computational-neuroimaging-lab.org) under the direction of
Cameron Craddock, PhD. The Computational Neuroimaging Lab is a
subdivision of the Center for Biomedical Imaging and Neuromodulation
(http://claymore.rfmh.org/) at the Nathan S. Kline Institute from
Psychiatric Research(http://www.rfmh.org) and the Center for the
Developing Brain
(http://www.childmind.org/en/center-for-developing-brain/) at the Child
Mind Institute (http://www.childmind.org). The lab's research agenda
involves the development of novel computational analysis and
experimental techniques for determining how brain function and structure
are impacted by mental illness and development. Ongoing projects involve
developing real-time fMRI experiments to evaluate the interaction
between brain networks, applying machine learning and signal processing
methods to map inter-individual variation in the human connectome, and
optimizing MRI acquisition for pediatric and psychiatric populations.
Additionally, the CNL is a strong supporter of open science as
exemplified by developing the Configurable Pipeline for the Analysis of
Connectomes (http://fcp-indi.github.io open source software package,
openly sharing data through the International Neuroimaging Datasharing
Initiative(http://fcon_1000.projects.nitrc.org), and spearheading the
Preprocessed Connectomes Project
(http://preprocessed-connectomes-project.github.io). 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).
Post-Doctoral Fellow: development of neuroimaging data processing and
analysis methods
======================================================================================
The primary responsibilities of this position will be to develop and
evaluate analytical methods for the large scale (>> 1,000 datasets)
processing and analysis of multimodal MRI neuroimaging data. Using
multivariate methods, the incumbent will integrate information from
disparate imaging modalities to identify clinically relevant
subpopulations and related neurophenotypes from datasets that span a
variety of disorders. The incumbent will be expected to conduct
large-scale neuroimaging analyses (functional, structural, and diffusion
MRI). They will mentor and in some cases supervise junior lab members
such as research associates and graduate students. They must be able to
work effectively in a very collaborative and multidisciplinary
environment, write scientific manuscripts, and orally present their work.
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
Toolkit, or SPM).
- Programming experience in C/C++, Matlab, Python, and similar platforms.
Post-Doctoral Fellow: Probing brain networks with real-time fMRI
================================================================
The primary responsibility of this research position will be to
investigate the role of network dysregulation in psychiatric disorders
using real-time fMRI. This will involve developing and maintaining a
real-time fMRI system, as well as designing, implementing and performing
real-time fMRI experiments. The incumbent will be expected to conduct
large-scale neuroimaging analyses (functional, structural, and diffusion
MRI). They will mentor and in some cases supervise junior lab members
such as research associates and graduate students. They must be able to
work effectively in a very collaborative and multidisciplinary
environment, write scientific manuscripts, and orally present their work.
Qualifications:
- PhD in biomedical engineering, cognitive science, electrical
engineering, mathematics, or physics.
- Research experience with functional, structural, and diffusion MRI
acquisition and analysis.
- Proficient with common neuroimaging tools (AFNI, FSL, SPM, Freesurfer,
etc.), as well as programming C/C++, Python, and shell scripting.
- Strong skills in using data analysis tools such as Matlab and R.
- Prior real-time fMRI and/or MRI sequence development experience is a
strong plus.
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
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Postdoctoral Position at UNC-Chapel Hill
in Human Electrophysiology (EEG, tDCS/tACS, TMS)
We are seeking to fill one postdoctoral position in human electrophysiology in the Frohlich Lab (www.frohlichlab.org<http://www.frohlichlab.org/>) at the University of North Carolina at Chapel Hill. We are a rapidly growing lab that aims to understand how cortical network dynamics emerge and how these dynamics can be modulated with brain stimulation. We have received grant funding to further grow our human electrophysiology team in the lab. In particular, we are interested in understanding how (feedback) non-invasive brain stimulation alters cortical network dynamics that mediate cognition. The successful applicant will employ tDCS/tACS, EEG, TMS, and cognitive testing for elucidating the functional role of cortical oscillations in cognition and for the development of novel strategies to enhance brain function and treat cognitive deficits in psychiatric disorders such as schizophrenia and autism.
The successful candidate has a PhD in neuroscience or related discipline and a track record of first class science demonstrated by first-author, peer-reviewed scientific articles in the area of human neurophysiology. Documented skills in EEG and cognitive assays are a prerequisite; programming and data analysis skills are essential. We will provide training in non-invasive brain stimulation methods. Please send your CV and a brief statement of research interest to flavio_frohlich(a)med.unc.edu<mailto:flavio_frohlich@med.unc.edu> . Also, please have two letters of recommendation directly submitted to the same email address.
We are looking forward to meeting passionate and hard-working applicants who are ready for cutting-edge human neuroscience research. The Frohlich Lab takes pride in its high-quality science, productive work environment, and culture of mentoring and collaboration. The Frohlich aims to be a leading force in the emerging field of network neuroscience. The Frohlich Lab is a unique environment due to the vertical integration of computer simulations, slice electrophysiology, in vivo electrophysiology, human EEG and brain stimulation studies, and clinical trials. Applications will be immediately reviewed until the position is filled. Start date is flexible but the earlier the better.
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