Post-doctoral Fellow Position
A post-doctoral fellowship is available in the laboratory of Dorina Papageorgiou, Ph.D., MHSc at Baylor College of Medicine to study cortical plasticity and repair in patient populations, as a result of neurological injury and/or disease. We use real-time fMRI neurofeedback methods to study cortical visual system rehabilitation and speech rehabilitation in patients with neurological injury, such as stroke, traumatic brain injury, or cancer.
We have relied heavily on highly quantitative methods, such as population receptive field, fMRI multivariate and univariate analyses, and have utilized a variety of innovative approaches to address our questions, including support vector machine analyses. Additionally, we have gained insights from highly individualized cortical and subcortical neuro-rehabilitative approaches.
The work promises to be challenging, but also presents an exciting opportunity to gain an understanding of the neurofeedback methods involved in various patient populations depending on the domain of brain function lesioned, such as in visual, speech, attention, and pain-associated networks. Trainees will benefit from the Center for Advanced MR Imaging at Baylor College of Medicine, which includes a state-of-the art imaging facility with four research-dedicated 3 Tesla MR scanners. (1 Siemens Allegra (head-only) and 3 Siemens Trio), a high speed private network, a database with web-based access, independent computing facilities, real-time fMRI capabilities.
Minimum Job Experience:
PhDs with a background in any of the following disciplines: Neuroscience, Biomedical Engineering, Engineering, Bioinformatics, Computer Science, or (Bio-)Physics with expertise in scientific programming: C/C++, Matlab/Python programming and Unix environment. The applicant should be highly motivated with a flexible work schedule.
A computational scientist position is available in the laboratory of Dorina Papageorgiou, Ph.D., MHSc at Baylor College of Medicine (U.S.A.) to study cortical plasticity and repair in patient populations, as a result of neurological injury and/or disease. We use real-time fMRI neurofeedback methods to study cortical visual system rehabilitation and speech rehabilitation in patients with neurological injury, such as stroke, traumatic brain injury, or cancer.
Eligibility Requirements:
1) A Bachelors or Masters of Science in any of the following disciplines: Bioinformatics, Engineering, Biomedical Engineering, Computer Science, or (Bio-)Physics.
2) Scientific programming experience in C/C++ and, Matlab/Python programming and Unix environment
3) Strong interest in any the following areas:
machine learning
fMRI acquisition and analysis
brain-computer interfaces
real-time fMRI neurofeedback methods
multivariate and univariate pattern analysis
functional/effective connectivity
computational modeling
4) Good English communication skills (both written and verbal)
5) Excellent organizational and analytical skills. Ability to collaborate and work in a team.
Job description:
1) Analysis of real-time fMRI neurofeedback data
2) Contribution to experimental design
3) User interface fMRI neurofeedback software development tailored for specific patient applications
Dear all,
I would like to draw your attention to the job posting below. Please
note the application deadline (January 15th 2015).
Thank you very much!
********************************************************************************
*Doctoral Candidate (m/f) (50% E13 TV-L)*
We are looking for a doctoral candidate, who will join the team of the
newly established laboratory “Social Psychology/Decision Neuroscience”
(Prof. Dr. Soyoung Q Park) in the Institute of Psychology, at the
University Lübeck, Germany.
**
This position is for a period of 3 years.
The goal of the lab is to investigate the neural mechanisms underlying
decision making in the human brain with the help of structural and
functional MRI, EEG and brain stimulation. The focus lies on economic
decisions and decisions in social contexts. The research center at the
University of Lübeck offers excellent state-of-the-art interdisciplinary
research facilities and extensive possibilities to international
collaborations.
Successful candidate must hold a degree (Diplom/Master) in psychology or
in related fields (economics, cognitive science, biology, neuroscience,
engineering or other). Experience in acquisition and analysis of human
neuroimaging data (fMRI, EEG or MEG) are desired (e.g. SPM). Excellent
programming skills in Matlab, advanced statistical analysis and
experiences in behavioral modelling will be preferred. Interest and/or
experience in the field of decision neuroscience are obligatory. We are
looking for a highly motivated candidate who enjoys team work and is
self-organized.
The salary level will be adjusted according to the salary scheme of E13
TV-L. The conditions of this position equate 50% of a E13 TV-L position.
The position will be filled as soon as possible.
In order to increase the proportion of female staff members,
applications from female scientists are particularly encouraged.
Applicants with disabilities are preferred if qualification is equal. We
explicitly ask for applications without photographs. The University of
Lübeck welcomes the applications from people with a migration background.
For questions about the details of the assignment please contact Prof.
Dr. Soyoung Park (park(a)ipsy.uni-luebeck.de
<mailto:park@ipsy.uni-luebeck.de>).
Please send your application with all necessary documents as one single
complete PDF file to the Email-address mentioned above. An additional
version with the reference number 1034/14 must be sent to the following
address until *15. January 2015*:
*Universität zu Lübeck – Der Präsident – Dezernat Personal*
*Ratzeburger Allee 160, 23562 Lübeck, Germany*
The Department of Radiology at the University of Minnesota seeks a
post-doctoral associate to be part of the Human Connectome Project (HCP)
(and sub-projects; http://www.humanconnectome.org). The successful
candidate will be employed in the component of the HCP that focuses on
optimization of data acquisitions and data analysis for resting state
and task induced fMRI
(R/T-fMRI), and for high angular resolution diffusion imaging (HARDI) in
different subject populations.
They will be responsible for:
1) Data acquisition and optimization at 3T and 7T.
2) Testing, debugging and optimizing pulse sequences and associated
image qualities at 3T and 7T
3) Resting state and Diffusion Data pre-processing and analysis.
Requirements for this position are:
Essential Experience: Ph.D. or equivalent in physics, computer science
or biomedical engineering, or in neuroscience with extensive experience
in neuroimaging. Must be highly independent and self-motivated, but at
the same time able to work within a Multi-Institutional team. Experience
with fMRI data Analysis. Experience with Siemens MR operating systems,
including data acquisition at high field.
The candidate must present excellent analytical, problem solving and
interpersonal skills
Preferred Experience: Experience in the development and use of Pulse
Sequences in the Siemens Platform. Excellent written and oral
communication skills.
Applicants for this position must submit a curriculum vita and three
references to:
Dr. Essa Yacoub
Center for Magnetic Resonance Research
2021 6th Street SE
Minneapolis, MN 55455
yacoub(a)cmrr.umn.edu <mailto:yacoub@cmrr.umn.edu>
For additional information see:
https://employment.umn.edu/applicants/jsp/shared/search/Search_css.jsp
Requisition Number 195139
Several postdoctoral positions are available in the Department of
Biomedical Engineering, Shenzhen University (SZU).
Image Registration: The successful candidate should have a strong
background on Biomedical Engineering, Electronic Engineering, Computer
Science, or related majors, preferably with emphasis on image processing
and computer vision. Experience on medical image registration and
analysis is highly desirable. People with machine learning background on
image features and shape statistics are particularly encouraged to
apply. Strong knowledge on programming (good command of LINUX, C/C++,
Python, Matlab, etc.) is desirable. The research topic will be the
development and validation of 3D/4D/group-wise image registration methods.
Segmentation: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on image feature learning and segmentation. Experience on
medical image segmentation using deformable surface, level sets, and
graph cut is highly desirable. People with machine learning background
on image features and shape statistics are particularly encouraged to
apply. Strong knowledge on programming (good command of LINUX, C and
C++, scripting, and Matlab) is desirable. The research topic will be the
development and validation of segmentation methods for brain
segmentation and surface reconstruction.
These positions are created in cooperation with Biomedical Research
Imaging Center (BRIC) at the University of North Carolina at Chapel Hill
(UNC). Fluent English is a must for the applicant. The candidate is
expected to work in both SZU and UNC. The successful candidates will be
part of a diverse group including radiologists, psychologists,
physicists, biostatistician, and computer scientists. We offer
competitive salaries & benefits.
If interested, please contact Dr. Dong Ni (nidong(a)szu.edu.cn
<mailto:nidong@szu.edu.cn>).
The Spinoza Centre for Neuroimaging has a postdoctoral position
available for an MRI Physicist / Scientist in Neuroimaging full time (38
hours/week) to develop innovative functional and morphological imaging
methods for investigating the physical and biological basis of the brain
in health and disease.
Requirements
The research will be performed with state-of-the-art human 3T and 7T MRI
scanners. The candidate holds a Ph.D. in physics, engineering, or
related field. Solid knowledge of NMR/MRI physics and experience in MRI
pulse sequence development are essential, as is hands-on experience with
ultra-high field MRI. Skills in mathematics, scientific computing, and
programming are desirable. The position is ideal for those seeking
opportunities to contribute to medical research in human subjects.
The Spinoza Centre
The SC offers a resourceful and stimulating scientific environment. The
SC houses 3T and 7T whole-body Philips MRI scanners that are dedicated
to research. The candidate will have full access to resources at SC for
research and career development. She or he will have the opportunity and
be supported to pursue independent research related to this position.
(For full text download pdf here:
https://www.dropbox.com/s/gixc6v5i2nzibsn/MRIpostdoc_opening_SpinozaCentre_…
)
Kind regards,
Pieter Buur
Pieter F. Buur, PhD
MR physicist
Spinoza Centre for Neuroimaging
www.spinozacentre.nl
Meibergdreef 75
1105 BK, Amsterdam
The Netherlands
Tel +31 20 5665500
Applications are now being accepted for a Postdoctoral Fellowship
position at the Human Performance and Engineering Lab at Kessler
Foundation, West Orange, NJ in collaboration with New Jersey Medical
School of Rutgers University. The 2-3 year program prepares biomedical
scientists, including engineers (e.g. biomedical, electrical,
rehabilitation), neuroscientists, kinesiologists, and those in related
fields, for a career in rehabilitation research within the specialty
area of neuromuscular rehabilitation. The successful candidate will work
principally on a 5 year NIH funded research study aimed at investigating
the neurophysiological effect of mental and physical training on
mitigating cancer- and/or cancer treatment-related weakness. The
successful applicant will also be expected to develop his/her own
mentored research project as well as have the opportunity to work on
other projects in neuromuscular rehabilitation in diverse patient
populations including traumatic brain injury, multiple sclerosis, spinal
cord injury and stroke. He/she will work on various aspects of research
projects from inception (e.g., study formulation, grant-writing, etc.),
through dissemination (conference presentation and manuscript
publication). Opportunities of collaborating with clinicians on existing
or future clinical research are also available. All fellows participate
in an extensive training curriculum and didactic offerings.
Multidisciplinary mentored training opportunities are individually
tailored to achieve specific goals considering each fellowâ??s prior
background and interests.
Applicants with specific interests and/or experience in the following
areas are highly encouraged to apply: Neuromuscular rehabilitation;
biomedical signal processing (e.g., EEG, TMS and EMG); brain and muscle
electrophysiology; functional and structural MRI.
Qualified candidates must have an earned doctorate in biomedical
engineering, neuroscience, kinesiology or a related field with a
background in signal processing or/and image processing (EEG, MRI,
fMRI). Working knowledge of at least one programming language is
mandatory. Preferences will be given to candidates with expertise in
Matlab programming as well as image processing software such as EEGLAB,
FSL, AFNI. Strong candidates will have prior experience in performing
research studies in human subjects, as well as some history of
publication and presentation of original research. Additional desirable
skills and experience include: experience with EEG/EMG data collection
and analysis, biomedical instrumentation, ability to independently
develop data processing/analysis methods, knowledge of statistical data
analysis, and excellent written communication skills.
The Kessler Foundation Research Center is a division of Kessler
Foundation, a public charity that advances its mission of improving the
lives of people with disabilities through research and grant-making
programs. The Kessler Foundation Research Center is affiliated with the
renowned Kessler Institute for Rehabilitation in West Orange, New Jersey
and enjoys close collaborations with partners at the New Jersey
Institute of Technology, Rutgers University, Seton Hall University, New
York University, and the University of Delaware. Kessler Foundation is
one of the few rehabilitation institutions in the United States who has
a research dedicated state-of-the-art 3T Siemens MRI system at the Rocco
Ortenzio Neuroimaging Center. This offers unique research opportunities
and training in neuroimaging. Applicants are encouraged to visit the
Foundation website (http://www.kesslerfoundation.org/research ) to learn
about the missions, activities, and resources and its laboratories, in
particular the Human Performance and Engineering Lab.
Administration of the ARRT fellowships occurs under the Department of
Physical Medicine and Rehabilitation at the New Jersey Medical School of
Rutgers University in Newark. As such, fellows enjoy the benefits and
academic resources available to all post-doctoral fellows at the Medical
School. Fellows may also be recommended for an academic appointment at
the rank of Instructor.
Principal Investigator: Dr. Guang Yue, Ph.D.
To apply, please send your CV, a letter of interest to Dr. Allexandre at
dallexandre(a)kesslerfoundation.org
<mailto:dallexandre@kesslerfoundation.org>. Please include the reference
number â??HPEL01-eeglabâ?? in your application.
APPLICATION DEADLINE: 2/15/2015 or until filled
We are equal opportunity employers.
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Research Twitter Page <http://www.twitter.com/KesslerFound>
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*Vice-Chancellor's Fellowships*
Grade 8: £38,511 to £45,954 per annum, with potential to progress to
£51,702 per annum through sustained exceptional contribution
Open-ended with a start date of 1 October 2015
Ref: UOS009778
All faculties in the University of Sheffield
Candidates are welcome to submit applications to hold this post in
participating departments within any faculty or as an interdisciplinary
researcher
Location: Main Campus
In order to maintain our position at the forefront of academia,
Professor Sir Keith Burnett, Vice-Chancellor of the University of
Sheffield, has created up to twenty Vice-Chancellor's Fellowship
positions. These are open to candidates with a track record of the
highest calibre research and who have the potential to be research
leaders of the future in any academic area. Vice-Chancellor's
Fellowships support researchers in the development of their programme of
research. We particularly encourage: research proposals of an
interdisciplinary nature that cross boundaries between different fields
of research; pioneering proposals that address new and emerging fields
of research; and proposals that introduce unconventional, innovative
approaches and scientific inventions.
As a Vice-Chancellor's Fellow, you will use your research, skills,
knowledge and expertise to contribute and complement the aims of your
Department. Your immediate priority will be to establish a programme of
personal research, which will attract external funding, in order to
develop research of international standing. You will build, lead and
manage your programme of research, undertake a significant piece of
publishable research, and commit significant time and effort in managing
future research activity.
You will develop your reputation through publication in the
highest-quality journals (or other appropriate form of publication as
appropriate to your discipline) and attendance at national and
international conferences, along with a range of other professional
activities. You will be an active contributor to the University's
research community and will take on supervision and leadership roles
commensurate with your skills and experience. You will supervise and
provide pastoral care or guidance to students, and engage in teaching
and administration duties associated with PhD supervision. You will be
expected to work toward gaining Fellowship of the Higher Education
Academy and will be expected to align your work to departmental teaching
and administrative duties. You will help to raise the profile of the
University through civic engagement activities. As a Fellow you will be
both aspirational about your career and inspirational to others. You
will place strong emphasis on your personal development by committing to
a rigorous development plan.
You must show the potential for research independence and evidence of
research maturity. A PhD in a relevant subject area is essential. You
must have produced and published at least one important publication
without the participation of your PhD supervisor (at the time of
application). You should demonstrate a promising track record of early
achievements appropriate to your research field and career stage,
including significant publications (as main author) in your respective
field. You may also be able to demonstrate a record of invited
presentations at well-established international conferences, and awards
of grants and prizes.
A Research Support Grant will be provided to support your preliminary
research. The amount awarded will be decided on a case-by-case basis,
and determined by your estimation of research 'running costs' in the
first eighteen months of appointment. In all cases, £3,000 will be
ring-fenced for costs associated with the publication and dissemination
of your research. You will be supported individually and as a cohort,
through monthly personal and professional development training. You will
be mentored by an internationally excellent academic who is around ten
years ahead in career terms. After the four-year Fellowship period of
this post you will become a Lecturer or Senior Lecturer.
These are open-ended appointments with a start date of 1 October 2015.
For further information please go to:
www.sheffield.ac.uk/ris/vcfellows/vcf2015
<http://www.sheffield.ac.uk/ris/vcfellows/vcf2015>
*Closing date: 29 January 2015.*
--
*Lecturers in Psychology (Two posts) Ref: FST59*
Starting salary from £32,277 - £37,394 per annum with further
progression opportunities to £40,847
Bournemouth University is creating the most stimulating, challenging and
rewarding university experience in a world-class learning community by
sharing our unique fusion of excellent education, research and
professional practice and inspiring our students, graduates and staff to
enrich the world.
Over the past five years Psychology has undergone a period of rapid
expansion resulting in a vibrant research and learning culture. We
currently have two research groups in 'Cognition' (with laboratories in
Attention & Memory, Face Processing, and Visual Cognition) and 'Health
and Wellbeing' (with specialisms in Eating Behaviour, Wellbeing in Older
Adults, and Clinical Psychology).
We also have emerging and potential research growth in Eye tracking,
Cyberpsychology, Forensic Psychology and eHealth. Facilities supporting
our teaching and research include mobile and static eye tracking,
virtual environments, and a new state-of-the-art EEG laboratory. We are
keen to receive applications from candidates who complement these areas
of research strength and / or have experience of using such facilities.
You will be qualified to Doctorate level or be able to demonstrate the
ability to create and disseminate knowledge at an equivalent level and
the capability to convert this knowledge into a doctorate in a maximum
of 3-5 years from the date of appointment. You will be research active
and committed to a culture of academic excellence and continuous
improvement.
For an informal discussion please contact Associate Professor Jacqui
Taylor on 01202 965313 or email jtaylor(a)bournemouth.ac.uk
<mailto:jtaylor@bournemouth.ac.uk>
A detailed job description and person specification are available from
our website together with an online application form. Alternatively,
please telephone 01202 961130 (24 hour answerphone) quoting the
appropriate reference.
*Closing date: (midnight) Wednesday 21 January 2015*