A postdoctoral position is available in the Laboratory for
Rehabilitation Neuroscience (lrnlab.org) at the University of Florida.
The laboratory is supported by the National Institutes of Health. Our
main focus is to develop a better understanding of motor systems
neuroscience and treatments for motor disorders in humans.
LRNLAB seeks a candidate for a NIH funded postdoctoral position in motor
neuroscience using functional MRI and diffusion imaging. The specific
focus of the research is to investigate brain degeneration in
Parkinson's disease and dystonia.
QUALIFICATIONS: The candidate should have a Ph.D. in bioengineering,
neuroscience, motor control, psychology, or related field. Experience
in using fMRI and/or diffusion imaging is highly desirable. Experience
with neuroimaging analyses, 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/27120 and should include a cover letter,
curriculum vitae, and email address of three references. Please send
inquiries to Dr. David Vaillancourt (vcourt(a)ufl.edu
<mailto:vcourt@ufl.edu>). Applications are encouraged to be submitted
prior to the deadline and they will be reviewed continually up until the
deadline of July 15, 2013.
LABORATORY ENVIRONMENT: The Laboratory for Rehabilitation Neuroscience
is co-directed by Drs. David Vaillancourt and Stephen Coombes. The
laboratory is supported by the National Institutes of Health. Our main
focus is to develop a better understanding of motor systems neuroscience
and treatments for motor disorders in humans. There is 3000 square foot
of space within the laboratory supporting an EEG lab, Pain lab, and
Motor Neuroscience lab. In addition, there is office space dedicated to
the personnel working with the group and dedicated for computing and
printing, software and hardware development, and scientific meetings
amongst collaborators. The laboratory is less than 1 mile from the AMRIS
facility which is located in the McKnight Brain Institute where the 3T
research dedicated Phillips magnet is housed. We also have excellent
collaborations with the Center for Movement Disorders and
Neurorestoration co-directed by Drs. Michael Okun and Kelly Foote.
David E. Vaillancourt, PhD
Laboratory for Rehabilitation Neuroscience (LRN)
lrnlab.org
A one-year post-doc position is opening from June 1st, 2013 - May 31st,
2014 at Brain and Mind Research Institute, Weill Cornell Medical
College, in New York area. Research project was funded by NIH. The study
mainly focuses on cognitive function of Parkinson's disease using
FDG-PET and multi-modal MRI including structural MRI, DTI, ASL, MRS.
Qualification:
PhD in neuroscience, psychology, experienced with SPM.
If interested, please send CV and research statement to:
chaorui.huang(a)gmail.com
=====================
Chaorui Huang, M.D., Ph.D.
Assistant Professor of Neuroscience
Brain and Mind Research Institute
Weill Medical College of Cornell University
Several postdoctoral positions are available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
Position 1 (Deformable Segmentation): The successful candidate should
have a strong background on Electrical or Biomedical Engineering, or
Computer Science, preferably with emphasis on image feature extraction,
shape representation, and shape statistics. 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) are desirable. The research topic will be the
development and validation of statistical deformable segmentation
methods for prostate and brain.
Position 2 (Brain Image Registration): The successful candidate should
have a strong background on Electrical or Biomedical Engineering, or
Computer Science, preferably with emphasis on image analysis, or
computer vision. Experience on medical image registration and analysis
is highly desirable. People with group-wise registration or 4D
registration are particularly encouraged to apply. Knowledge on
neuroscience and programming background (good command of LINUX, C and
C++, scripting, and Matlab) are desirable. The research topic will be
the development and validation of 3D, 4D, and group-wise image
registration methods for brain image analysis.
The successful candidates will be part of a diverse group including
radiologists, psychologists, physicists, biostatistician, and computer
scientists, and will build upon the group's previous work on medical
image analysis. If interested, please email resume to Dr. Dinggang Shen
(dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).
Sent on behalf of Nikolaus Weiskopf.
Research Associate or Senior Research Associate
MR Data Analysis Scientist
Institute of Neurology -Wellcome Trust Centre for Neuroimaging
A postdoctoral position for an expert in MR data analysis is available
within the Wellcome Trust Centre for Neuroimaging (WTCN), UCL
Institute of Neurology. The Centre conducts cutting-edge research by
means of functional and structural brain imaging, and is equipped with
three 3 T MRI scanners (Siemens Tim Trio with 32-ch head coil), an MEG
system (CTF/VSM), and MR compatible EEG and TMS systems. One of the
MRI systems will soon be equipped with an optical tracking system for
prospective motion correction (Kineticor).
We are seeking a highly motivated individual to work within the
physics group at the WTCN reporting to Dr Nikolaus Weiskopf, Head of
MRI Physics. The group specializes in the development of a broad range
of methods, including diffusion, structural and functional imaging,
based on understanding the underlying MR physics, to arrive at
efficient solutions. Current projects include, but are not limited to,
maximizing acquisition efficiency and resolution, artifacts
correction, quantitative MRI and neurofeedback techniques (see
http://www.fil.ion.ucl.ac.uk/Research/physics.html).
The post holder will be expected to support on-going neuroscience
research and will pursue individual research into MR image
reconstruction, data processing and modeling methods related to the
primary projects of the group.
Applicants must have a PhD or, if not already held, the PhD must have
been obtained by the agreed start-date (Research Associate applicants
only), in physics, biomedical engineering, computer science, or a
comparable subject. A strong background in MR image processing,
modeling and data analysis is essential, as is expertise in
programming high-level languages (e.g. C/C++, Matlab). Applicants must
be specialists in at least one (for Research Associate) or two (for
Senior Research Associate) of the following areas: Siemens MR scanners
and software (IDEA, ICE), MR image reconstruction methods, anatomical
and/or functional MRI, optimization of MR acquisition protocols, SPM8
/ SPM 12 software, pulse sequence programming, DTI or more advanced
diffusion imaging processing (e.g., axonal diameter measurements),
time-series analysis. Those applying for the Senior Research Associate
position will also need to be able to demonstrate an established
publication track record and experience of leading a team of
researchers.
The post is available immediately and is funded by the Wellcome Trust
for three years in the first instance. Starting salary in the range of
£32,375 - £39,132 pa on UCL Grade 7 (Research Associate) or £40,126-
£47,441 pa on UCL Grade 8 (Senior Research Associate) including London
Allowance, superannuable.
You should apply for this post through UCL's online recruitment –
http://www.ucl.ac.uk/hr/jobs where you can download a job description
and person specification using ref: 1329569.
If you have any queries regarding the application process, please
contact Samantha Robinson, Personnel Officer, Institute of Neurology,
(email: IoN.HRAdmin(a)ucl.ac.uk <mailto:IoN.HRAdmin@ucl.ac.uk>).
Informal enquiries to Dr Nikolaus Weiskopf (email: n.weiskopf(a)ucl.ac.uk
<mailto:n.weiskopf@ucl.ac.uk>).
Closing date: 3 June 2013
UCL Taking Action for Equality
--
Dr. Nikolaus Weiskopf
Head of Physics & Senior Lecturer
Wellcome Trust Centre for Neuroimaging
UCL Institute of Neurology
University College London
12 Queen Square
London WC1N 3BG
United Kingdom
Tel. +44-20-3448-4381
Fax +44-20-7813-1420
n.weiskopf(a)ucl.ac.uk <mailto:n.weiskopf@ucl.ac.uk>
Sent on behalf of Marcel van Gerven.
Postdoctoral Position on the Project 'Bayesian Modelling of Brain Networks' (1.0 fte)
Faculty of Social Sciences
Vacancy number: 24.14.13
Closing date: 1 June 2013
Responsibilities
As a postdoctoral researcher you will be working on the BAMBINO project (Bayesian modelling of brain networks) funded by the Netherlands Organization for Scientific Research (NWO). One of your main duties will be to develop sophisticated Bayesian inference methods for estimating changes in cognitive processing, using diffusion MRI, functional MRI and MEG data. The main focus will be on data fusion, latent variable modelling, and time series analysis in challenging large-scale applications. New methods will be developed in collaboration with Prof. Heskes, who is research director of the Institute for Computing and Information Sciences and an expert on approximate inference methods. As a postdoctoral researcher, you will help develop this new research line and assist in teaching and supervising Master’s and PhD students. The position provides the opportunity to conduct world-class research as a key member of an interdisciplinary team.
Work environment
The Donders Institute for Brain, Cognition and Behaviour consists of three research centres: the Centre for Cognition, the Centre for Cognitive Neuroimaging and the Centre for Neuroscience. The Donders Institute focuses on state-of-the-art cognitive neuroscience with a multidisciplinary approach, and offers excellent lab and neuroimaging facilities, PhD supervision and courses, and technical support.
The project is embedded within the Donders Institute’s research theme ‘Brain Networks and Neuronal Communication’ and will be supervised by Dr Marcel van Gerven, head of the Computational Cognitive Neuroscience group. Dr van Gerven is based at the Donders Centre for Cognition. You will also collaborate intensively with researchers from the Institute for Computing and Information Science, which has an outstanding track record in statistical machine learning.
The Donders Institute is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Radboud University offers a parental leave scheme and on-campus day care.
What we expect from you
We are looking for a highly motivated candidate with a PhD degree in Computer Science, Applied Mathematics, or a related field of study. Excellent math and programming skills and a background in statistical machine learning are prerequisites. Experience in cognitive neuroscience and neuroimaging is not required. You should have an excellent scientific track record, excellent organizational and communicative skills, a strong motivation, and excellent skills in written and spoken English.
What we have to offer
We offer you:
- employment: 1.0 fte;
- in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
- the minimum salary for the postdoctoral position is €3,227 and the maximum salary (based on full-time employment) €4,418 gross/month;
- The initial salary depends on relevant work experience;
- appointment for a minimum of 3 years, with the possibility of extension;
- you will be classified as a Researcher level 3 in the Dutch university job-ranking system (UFO).
Are you interested in our excellent employment conditions?
Other Information
Starting date: preferably September 2013.
Would you like to know more?
Further information on: Donders Institute/research
Dr. Marcel van Gerven
Telephone: +31 24 3655931
E-mail: m.vangerven(a)donders.ru.nl
Applications
Are you interested?
It is Radboud University Nijmegen's policy to only accept applications by e-mail. Please send your application, stating vacancy number 24.14.13, to vacancies(a)socsci.ru.nl, for the attention of HRM-Department, before 1 June 2013.
Hi everyone,
I would like to invite you to our (slightly delayed) MEG group meeting next Thursday (23.05.2013) at 12.15 in the Venables room, A202 (Department of Psychology).
Pat Johnston and Michael Simpson will talk about their work on face recognition and DSI. More detailed information regarding the talk will follow in due course
Since I will be at a conference next week, Catarina Teige has kindly agreed to take over the organization for this session. She will answer any questions regarding the meeting in my absence (cirt500(a)york.ac.uk)
With best wishes,
Markus van Ackeren
Hello everyone,
Just a reminder about the Wine Tasting Event that will take place next week
on *Wednesday 22nd May from 17:30 in room C003.*
Please be sure to sign up and put £3 into the honesty box in the staff room
by the *end of tomorrow (Friday 17th May)*.
Look forward to seeing you there!
the ECR forum
On 8 May 2013 15:27, Adele Goman <ag561(a)york.ac.uk> wrote:
> Dear all,
>
> The Early Career Researcher’s Forum has organised a wine tasting event.
> There will be the opportunity to try different wines, learn some
> interesting facts about wine and take part in a wine-themed quiz.
>
> The event will take place on *Wednesday 22nd May from 17:30 in room C003.*
>
> There is a small charge for this event (£3) which you can pay into the
> honesty box in the staff room (don’t forget to also write your name on the
> sign up sheet in there). Please note, in order to cater appropriately for
> this event we are asking for people to sign up (and pay) *by Friday 17thMay
> *.
>
> Hope to see you there.
>
> Adele
>
> On behalf of the ECR
>
> --
> Adele Goman
> PhD student
>
> Room B001b
> Department of Psychology
> University of York
> YO10 5DD
>
> Email: ag561(a)york.ac.uk
> Tel: 01904 322879
>
*Bambino Gesù Children’s Hospital
Rome, Italy
Post-doc
in quantitative imaging*
*Period of appointment*: The role is full-time and fixed term for a
duration of 12 months. A renewal for extra 12 months will also be possible.
We are seeking a researcher at post-doc level with a strong interest in
the development of neuroimaging methodology. The post-holder will work
on a pediatric neuroimaging project which aims to develop novel MRI data
acquisition and analysis strategies (on 3T Skyra and 1.5 T Achieva)
based around BOLD FMRI and ASL measurement of cerebral blood flow (CBF).
The post-holder will be expected to test these new methods in volunteers
and in specific groups of neurological pediatric patients in
collaboration with clinical colleagues.
Applicants should have a first degree in the physical or engineering
sciences and a relevant PhD. The ability to communicate well with
scientific colleagues and participants in our experiments is also
important. Candidates should have a good understanding of MRI sequences
whereas having experience in pulse programming in Siemens and/or Philips
platforms would be ideal but not essential. A strong background in
computer programming (C++, Matlab) is required. The candidate will be
asked to have a track record of publication in scientific journals and
be able to demonstrate excellent written and oral communication skills.
Potential applicants are encouraged to contact Dr Vittorio Cannatà
(vittorio.cannata(a)opbg.net) and Dr Antonio Napolitano
(antonio.napolitano(a)opbg.net) to send the application (CV and 2
reference letters) or, before submitting a formal application, to find
out more about the role.
http://dx.doi.org/10.1016/j.neuroimage.2012.07.004
********************************************************************
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.
********************************************************************