The Department of Biomedical Engineering (IMT), in collaboration with
The Center for Medical Image Science and Visualization (CMIV) at
Linköping University (Sweden) are offering a fully funded PhD student
position in medical image analysis.
*** Research Environment
IMT and CMIV at Linköping University (Sweden) have a long tradition in
the development of image analysis tools for medical images and their
validation through clinical studies. IMT and CMIV are renowned for their
state-of-the-art methods for CT image reconstruction, multidimensional
image filtering, multimodal registration, and advanced scientific
visualization of medical images. CMIV has its own premises with
state-of-the-art medical imaging and visualization equipment at
Linköping University Hospital. http://www.liu.se/cmiv?l=en&sc=true
<http://www.liu.se/cmiv?l=en&sc=true,> http://www.imt.liu.se/en/
*** Project
The PhD student will develop new tensorial techniques that can be
applied to analysis of images acquired through different Magnetic
Resonance and Computed Tomography imaging protocols with applications to
the human circulatory, skeletal and nervous systems.
*** Profile
Applicants must hold a higher education degree at Master’s level, or
having completed course requirements of at least 240 ECTS credits,
including a minimum of 60 ECTS credits at Master’s level, or having
acquired the equivalent skills and knowledge, abroad or domestically. A
strong background in mathematics is required for this position. Highly
motivated individuals with degrees in mathematics, physics, computer
science or engineering are especially encouraged to apply.
*** Position
The funds will cover the salary of the PhD student for 4 years. The
starting salary will be based on locally agreed salary scales.
*** More information and application
More information and the application procedure can be found in the
following link:
http://www.liu.se/en/job/show.html?5402
Applications must be submitted no later than the 28th of February 2014.
For more information, please contact Rodrigo Moreno
rodrigo.moreno(a)liu.se (+46-(0)10-10 38986)
-----------------------------------------
Rodrigo Moreno, Ph.D.
Lecturer (Assistant Professor) at CMIV / IMH
Linköping University,
Campus US, CMIV
SE-581 85, Linköping, Sweden
Tel.: +46-(0)10-10 38986
E-mail: rodrigo.moreno(a)liu.se
Web:
http://www.imh.liu.se/radiologiska-vetenskaper/medarbetarna/rodrigo-moreno?…
Dear colleagues,
I am forwarding the following information about open job opportunities
in Giessen and Marburg on behalf of Karl Gegenfurtner. The P.I.s on
projects that involve fMRI are marked by an X in the list.
Best wishes,
Bianca
--
The German Research Council (DFG) has established a Collaborative
Research Center (SFB/TRR 135) at the universities of Giessen and
Marburg. The scientific goal is to investigate the cardinal mechanisms
that underlie perception: prediction, valuation and categorization.
Scientists within the research center come from different disciplines
ranging from experimental psychology and human movement science to
neurophysics and psycholinguistics. We use a vast range of methods
including psychophysics, neuroimaging and single unit electrophysiology.
The positions are available starting on April 1, 2014 or soon
thereafter, and can potentially be held until the end of 2017.
If you are interested in a PhD studentship or a PostDoc position, you
should contact one of the principal investigators of the grant directly:
Jutta Billino (Giessen, Experimental Psychology, Aging)
X Ina Bornkessel-Schlesewsky (Marburg, Experimental Linguistics, Embodiment)
Doris Braun (Giessen, Experimental Psychology, Eye movements)
X Frank Bremmer (Marburg, Neurophysics, Oculomotor Physiology, Self Motion)
Knut Drewing (Giessen, Experimental Psychology, Active Touch)
X Wolfgang Einhäuser-Treyer (Marburg, Neurophysics, Ocuolomotor salience)
X Katja Fiehler (Giessen, Experimental Psychology, Hand and Eye Movements)
X Karl Gegenfurtner (Giessen, Experimental Psychology, Color Vision, Eye
Movements)
X Mathias Hegele (Giessen, Human Movement Science, Animacy)
Bianca Jovanovic (Giessen, Developmental Psychology, Infant Motor
Experience)
Christina Kauschke (Marburg, Clinical and Developmental Linguistics,
Emotion Words)
X Tilo Kircher (Marburg, Psychiatry, Inter-modal Perception)
Harald Lachnit (Marburg, Experimental Psychology, Associative Learning)
Anna Schubö (Marburg, Cognitive Psychophysiology, Attention, Visual
Selection)
Alexander Schütz (Giessen, Experimental Psychology, Eye Movements and Value)
Gudrun Schwarzer (Giessen, Developmental Psychology, Child Face Perception)
X Benjamin Straube (Marburg, Psychiatry, Perception of One's Own Actions)
X Bianca Wittmann (Giessen, Biological Psychology, Motivational salience)
A list of all projects, including links to the P.I.'s web pages can be
found at
http://www.allpsych.uni-giessen.de/sfb
Applicants should have a strong academic training, including a Master's
degree in a relevant discipline.
Please send a CV and a brief cover letter explaining why you are
interested in applying for a position either directly to one of the
P.I.s listed above, or to the grant coordinator Karl Gegenfurtner
(gegenfurtner(a)uni-giessen.de).
Applications should be received by February 14, 2014, but we will
consider late applications until all the positions are filled.
Karl Gegenfurtner
--
Prof. Karl Gegenfurtner, Abteilung Allgemeine Psychologie
Justus-Liebig-Universität, Otto-Behaghel-Str. 10, 35394 Giessen
phone: +49 641 9926100 mailto:gegenfurtner@uni-giessen.de
fax: +49 641 9926119 http://www.allpsych.uni-giessen.de/karl
Dear Users
This afternoon (4.15 pm in YNiC open plan) there will be talks on
1) "Update on Participant Consent at YNiC" given by Mark Hymers
2) "Feedback from the MEG UK meeting" given by Gary Green.
Everyone is welcome to attend and refreshments will be served afterwards.
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
Dear Users
As some of you may already know, Garreth Prendergast is leaving YNiC at
the end of this month to become a post-doc at the University of Manchester.
Please put *Wednesday 29th January 4-5 pm* in your diaries if you would
like to be part of the organised farewell to Garreth.
Garreth will be giving his "farewell seminar" on 29th January from 4-5
pm in YNiC. After the seminar we will be taking Garreth out for drinks
and dinner to thank him for all his contributions to the department.
Please let me know if you would like to join us for dinner.
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
Dear Users
This Thursday (4.15 pm in YNiC open plan) there will be 1) a talk on
"Update on Participant Consent at YNiC" given by Mark Hymers and 2) a
talk on "Feedback from the MEG UK meeting" given by Gary Green.
Everyone is welcome to attend and refreshments will be served afterwards.
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
We are pleased to announce two PhD studentships in medical imaging:
Experimental neuroimaging with Focal MEG
Type of employment: Fixed-term employment, 4 years if full-time studies
Extent: 100 %
Location: Sahlgrenska Academy, Göteborg
First day of employment: As agreed
Reference number: UR 2014/16
http://www.gu.se/english/about_the_university/announcements-in-the-job-appl…
This project targets stress-induced heart disease (SIHD) with an
experimental neuroimaging technique: Focal MEG. The PhD student will be
involved in the planning and execution of medical research studies that
explore the neurophysiological signaling pathways responsible for the
spectrum of responses to arousal we have observed in the general
population.
These arousal responses are rapid—occuring in less than a heartbeat—and
strongly correlated with long-term trends in blood pressure and heart
disease. State-of-the-art MEG—like the recently installed NatMEG system
to which the student will have access—adds the time-dimension to
neuroimaging, allowing one to see where, when, and how long brain
activity occurs. Our experimental Focal MEG system improves the
sensitivity of MEG; this project will help develop and validate this
beyond state-of-the-art neurimaging system. Participants in the studies
will be recruited from ongo ing studies that are presently led by the
supervisory team at the SUH Department of Clinical Neurophysiology. By
combining next-gen neuroimaging with groups of subjects that have been
well characterized in ongoing studies, we hope to identify a biomarker
for SIHD.
The PhD student will thus have access to a unique research
infrastructure (NatMEG, Focal MEG, as well as standard fMRI, EEG, ECG,
etc.) and be supervised by leading clinical and experimental
researchers. Not only will the finished PhD be well educated, but he/she
will have a solid foundation for a career in testing clinical issues in
experimental environments. When this project is completed, we hope to
have identified clinically relevant and non-invasive markers that lead
to a better understanding of the underlying physiological mechanisms for
SIHD.
/This PhD position is funded via doctoral grant during the first year
and doctoral studentship during the last three years, and leads to a
doctoral degree./
Automatic lesion detection in brain images
Type of employment: Fixed-term employment, 4 years if full-time studies
Extent: 100 %
Location: Sahlgrenska Academy, Göteborg
First day of employment: As agreed
Reference number: UR 2014/17
http://www.gu.se/english/about_the_university/announcements-in-the-job-appl…
A well-established and validated approach to anatomical image
segmentation is to use image registration to propagate anatomical labels
from multiple atlases to a target (patient) image. We have developed
MAPER, a tool that implements this approach for the segmentation of
structural magnetic resonance images of the brain. MAPER is currently
the most accurate and robust method for segmenting the whole of the
human brain into its constituent structures. We have shown its
usefulness in particular for measuring markers of neurodegeneration, for
example in Alzheimer's disease.
The drawback of atlas-based segmentation methods is that some injuries
or disease processes lead to the appearance of focal brain lesions
(edema, bleeding, tumours, etc.). These are not normally represented in
the atlases, and are therefore frequently mislabelled. Addressing this
problem will potentially lead to novel applications of automatic image
analysis: decision support in the management of stroke, quantitative
monitoring of recovery after head injury or brain surgery, objective
evaluation of the changes caused by brain tumours and brain cancer
treatment, measurement of disease progression in multiple sclerosis,
seizure focus identification in epilepsy, and many others. The goal of
this project is to develop the capability of automatically detecting and
measuring lesions and to validate it on real-world imaging data that we
will access through collaborations with clinical experts in the relevant
diseases.
/This PhD position is funded via doctoral grant during the first year
and doctoral studentship during the last three years, and leads to a
doctoral degree.
--
/
Rolf A Heckemann, MD PhD
Professor of Medical Imaging and Image Analysis
MedTech West <http://www.medtechwest.se> at Sahlgrenska University Hospital
University of Gothenburg
Sweden
Dear Users
This afternoon (4.15 pm in YNiC open plan) there will be a project
proposal presentation given by Charlotte Murphy. The title of
Charlotte's talk is "Flexible Retrieval and Representation of Amodal
Concepts".
Everyone is welcome to attend and refreshments will be served afterwards.
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
Hi,
For all of this term, YNiC open plan will be very busy on Thursdays,
especially between 11-1 and 2-4. This is because of MSc Cognitive
Neuroscience teaching. Non-MSc students can use open plan but will need
to be aware that teaching is taking place and please use the machines at
the back of the room. MSc students will be given priority on computers.
Please make sure that you do not leave yourself logged into machines in
open plan as we will forcibly log out users as necessary at the start of
the teaching session.
Apologies for the late sending of this email.
Thanks,
Mark
--
Mark Hymers, York Neuroimaging Centre
Please note that my email address is: mark.hymers(a)ynic.york.ac.uk
Responses to messages sent to other addresses may be delayed
Dear YNiC users,
All YNiC users are invited to attend the next meeting of the YNiC
Science Committee, next Monday at 2pm in B204. The committee exists to
facilitate scientific work at YNiC by bringing YNiC staff and users
together to discuss support issues. Users who would like to raise a
particular issue for consideration at this meeting should contact the
Chair (Beth Jefferies <beth.jefferies(a)york.ac.uk>) or Secretary (Michael
Simpson <michael.simpson(a)ynic.york.ac.uk>) *in advance*, so that the
issue can be added to the agenda.
With best wishes
Beth and Michael
--
Dr Michael Simpson
Science Liaison Officer
York Neuroimaging Centre
Innovation Way
York
YO10 5DG
Tel: 01904 567614
Web: http://www.ynic.york.ac.uk
Dear Users
This Thursday (4.15 pm in YNiC open plan) there will be a project
proposal presentation given by Charlotte Murphy. The title of
Charlotte's talk is "Flexible Retrieval and Representation of Amodal
Concepts".
Everyone is welcome to attend and refreshments will be served afterwards.
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
The Eating Disorder Section of the Department of Child and Adolescent
Psychiatry, University Hospital Carl Gustav Carus, Dresden University of
Technology, Germany (Prof. Stefan Ehrlich) invites applications for a
postdoc position (full time) in neuroimaging of eating disorders with a
focus on computational neuroscience and in close collaboration with the
Collaborative Research Centre 940 "Volition and Cognitive Control:
Mechanisms, Modulators, and Dysfunctions" http://www.sfb940.de/. Our
international and multidisciplinary group conducts basic research in
neuroscience at the inter-face to clinical applications. We focus on
cognitive control, reward system and the processing of positive and
negative emotions in patients with anorexia nervosa. Some of our
projects are part of the aforementioned Collaborative Research Centre
(CRC, Steering Committee: Profs. T. Goschke, C. Kirschbaum, M. Smolka,
A. Strobel, H.-U. Wittchen).
Postdoctoral Research Position (f/m)
in Neuroimaging of Eating Disorders
To further strengthen our lab, we are seeking for a postdoc with some
experience in Computational Neuroscience, e.g. model-based analysis of
behavioral and MRI data, decoding or machine learning. Responsibilities
will also include the coordination of our ongoing clinical research
study and the acquisition, preprocessing and analysis of a range of
behavioral and magnetic resonance imaging (MRI) data. Together with a
doctoral student new functional MRI paradigms need to be programmed and
implemented. Imaging sessions will take place on the Neuroimaging
Center's 3T Siemens TIM-Trio scanner. We routinely collect high-quality
structural, diffusion, and functional MRI data. A variety of additional
information is also being collected, including neuropsychological and
psychiatric scales, physiological (SCR, eye tracking) and
endocrinological markers. Summarizing results and writing research
articles will be another central aspect of the work.
The successful applicant will work in a team of young investigators and
also start to supervise doctoral students, interns and medical students
working in the project. Thanks to the CRC the applicant will have ample
opportunity to work with peers and senior scientists in similar project
in the Medical School and the Psychology Department. In addition, the
position offers the possibility for further scientific qualification
(i.e. Habilitation).
Requirements:
. Doctoral degree (Ph.D.) in any scientific field of study with a strong
quantitative background, e.g. mathematics, informatics, statistics,
computational neuroscience, biomedical or electrical engineering (with
additional qualifications or experience in computational neuroscience a
PhD, MD or comparable degree in a relevant field such as psychology,
biology, biomedicine, medicine, biophysics or physics may also be
sufficient).
. Expertise in computational modeling of behavioral and/or imaging data
(e.g., Bayesian inference methods and statistics, hidden Markov
modeling, machine learning, reinforcement and temporal difference
learning or connectivity analyses)
. Experience in computer programming (Linux/Unix shell scripting, Python
and/or MATLAB)
. Some exposure to cognitive and emotional neurosciences
. Participation in research activities within the past years
. Publications in peer-reviewed journals
. Strong organizational skills
. Command of some basic German
The successful applicant will join a multidisciplinary team of
researchers and clinicians, will receive further training and train
doctoral students (informally).
The Salary will be consistent with levels in accordance with the German
Research Foundation (100% TV-L: E 13). Compensation includes health
insurance and vacation time.
The position is available for a start date as soon as January 20th 2014
(to be confirmed). Review of applications will begin immediately and
will continue until the position is filled. The position is guaranteed
for two to three years with the possibility of renewal after positive
evaluation. The funding has been granted for 5 years.
To apply you can use our online portal
(http://www.uniklinikum-dresden.de/bildung-und-karriere/stellenangebote/wiss…
).
The application should include a cover letter detailing professional
objectives and interests, CV (with grades and language skills), and the
names and email addresses of two references. The application can be
written in German or English. The position is open to qualified
international applicants.
Please refer to our homepage:
http://www.kjp-dresden.de/en/content/eating-disorders
, http://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_na…,
http://www.kjp-dresden.de/en/content/schizophrenia
and http://www.kjp-dresden.de/de/basic-page/publikationsliste-prof-dr-s-ehrlich
for more detailed information.
:::::::::::::::::::::::::::::::::::::::::
Dipl.-Inf. Daniel Geisler
Wissenschaftlicher Mitarbeiter
Bereich Angewandte Entwicklungsneurowissenschaften
Klinik und Poliklinik für Kinder- und Jugendpsychiatrie und -psychotherapie
Fon +49 (0)351 458-7071
Fax +49 (0)351 458-7206
Universitätsklinikum Carl Gustav Carus
an der Technischen Universität Dresden
Anstalt des öffentlichen Rechts des Freistaates Sachsen
Fetscherstraße 74 (Haus 25, Raum 233A),
01307 Dresden http://www.uniklinikum-dresden.de
Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Wilfried E. B. Winzer
Vorsitzender des Aufsichtsrates: Prof. Dr. med. Peter C. Scriba
USt.-IDNr.: DE 140 135 217, St.-Nr.: 201 145 00020
Applications are invited for a post-doctoral position to work on the
neurobiology of anxiety and fear. The Comparative Emotion Neuroscience
Group (www.bachlab.org) currently hosts 1 PostDoc, 3 PhD students, and
several support staff, and is looking for a second post-doctoral fellow.
The group’s aim is to develop formal models of animal and human
defensive emotions (panic, fear, anxiety), characterise their
neuroanatomy and the underlying neural computations using neuroimaging
techniques (fMRI, M/EEG) in humans, and apply this knowledge to
psychiatric syndromes involving pathological emotions. The laboratory
offers a friendly and collaborative research environment, a
research-dedicated 3T MRI scanner, a fully equipped
psychological/psychophysiological testing facility, access to EEG, and
collaboration with MEG and 7T MRI facilities. The position is funded for
3 years and paid according to work experience, usually in grade 18. The
lab, behavioural testing facilities, EEG, and 3T scanner are located in
the Department of Psychiatry, University of Zurich, Switzerland.
The successfull applicant will have either (a) an undergraduate degree
in physics/engineering/mathematics/computer science, and a PhD in
cognitive neuroscience, or (b) an undergraduate degree in
biology/psychology/neuroscience, and a PhD in neuroscience with a
computational or technological focus. The candidate will be experienced
in human experimentation, in particular fMRI or M/EEG.
Fluent English is mandatory, German is not. We are looking for a highly
motivated individal with interest in neurobiology who develops
independent research ideas within the group’s framework.
Starting date is 2014. Applications are accepted until the position is
filled. Applicants should send, in one merged PDF, a CV, publication
list, letter of intent with a statement of research interest, and the
name and contact of two references to:
jobs(a)bachlab.org
Dear colleagues,
The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at
the Leipzig University Hospital is offering a *PhD studentship in
computational modelling* under the supervision of Dr Jane Neumann and Dr
Annette Horstmann. Within the project, computational modelling will be
used to investigate decision-making and learning in humans by combining
genetic, behavioural and magnetic resonance imaging (MRI) data from
different modalities.
The PhD position will be based at the *Max Planck Institute for Human
Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both
Leipzig‘s long tradition in conducting neuroscientific research and the
ultra-modern equipment at the Institute provide an environment that
offers new perspectives in neuroimaging research. Further, the position
will be part of the CRCs Integrated Research Training Group. This
graduate program offers interdisciplinary qualification in various
research methods and transferable skills, and provides support in career
planning and in establishing an own scientific network.
Applicants should hold a Master's degree (or equivalent) in one of the
following disciplines: computational or cognitive neuroscience, computer
science, mathematics, physics, cognitive science or related. Prior
experience in the field of computational neuroscience and/or
neuroimaging are of advantage. Sound knowledge of statistics and
excellent programming skills are essential. A good command of written
and spoken English is requested of all applicants.
Please send your application as a single pdf-file to
_neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete
applications include cover letter, CV, letter(s) of recommendation, and
copies of university degrees and additional certificates.
Informal enquiries should be made to Dr Jane Neumann
(_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21).
The salary is based on the German E 13 TV-L salary scale. In order to
increase the proportion of female staff members, applications from
female scientists are particularly encouraged. Disabled applicants are
preferred if qualification is equal.
Deadline for application: until position is filled
Several postdoctoral positions are available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
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 infant brain
segmentation and surface reconstruction.
Registration: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on feature learning and correspondence detection.
Experience on medical image registration is highly desirable. People
with experience on pairwise, group-wise and/or 4D registration are
particularly encouraged to apply. Knowledge on brain development and
also strong background on programming (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 early brain development study.
Atlas Construction: Candidates with experience on patch-based sparse
representation are encouraged to apply. The research topic will be the
development of atlas construction methods for infant brain images.
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>).
A postdoctoral position on machine learning with application to
neuroimage-based brain disease diagnosis and prediction is available in
UNC-Chapel Hill. The successful candidate should have a strong
background on Electronic Engineering, Biomedical Engineering,
Statistics, or Computer Science, preferably with emphasis on machine
learning, pattern classification, regression methods, or sparse
representation. People with strong experience on machine learning are
particularly encouraged to apply.
The successful candidate 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. The research topic will be the development and
validation of novel machine learning methods for early diagnosis and
prediction of brain disorders. Please visit group website
(http://bric.unc.edu/ideagroup) for more information.
If interested, please email resume to Dr. Dinggang Shen
(dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).
Stanford University invites applications for the position of Cognitive
Neuroscience Research Assistant in the Cognitive & Systems Neuroscience
Lab (cosyne.stanford.edu). This is an exciting opportunity to work on
brain imaging studies of cognitive function and dysfunction, cognitive
development and learning disabilities. The successful candidate will
participate in all aspects of research in the lab, including:
acquisition and analysis of functional and structural brain imaging
data, assembling and administering neuropsychological assessments,
screening and recruiting participants, obtaining informed consent,
scheduling participants for testing, tracking progress of the study and
behavioral data, verifying data and entering pertinent information into
database for statistical analysis, conducting statistical analyses, and
assisting with manuscript preparation. A minimum commitment of two years
is required. This is a full-time position with competitive benefits.
There are 2 positions open with start dates in Summer 2014. Please email
a CV and statement of research interests and career goals in PDF format
titled LastName_CV.pdf and LastName_StatementGoals.pdf to Emma Adair at
hiring.stanford.cosyne(a)gmail.com. Application deadline is March 15;
competitive candidates will be contacted for interviews starting
mid-February.
Qualifications:
Requires a BS/BA degree in psychology, human biology, neuroscience,
biomedical engineering or related fields as well as one to two years of
research experience. A strong academic record is essential. Past
research experience in cognitive neuroscience is highly desirable.
Experience with any of the following would be an added advantage: brain
imaging data acquisition, MRI data analysis, neuropsychological
assessments, computer programming, MATLAB, signal processing, and
statistical analysis. The candidate must have strong organizational and
interpersonal skills; the ability to work well with children; a
willingness to tackle complex tasks in an independent manner; and a
strong work ethic.
Dear colleagues,
The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at
the Leipzig University Hospital is offering a *PhD studentship in
computational modelling* under the supervision of Dr Jane Neumann and Dr
Annette Horstmann. Within the project, computational modelling will be
used to investigate decision-making and learning in humans by combining
genetic, behavioural and magnetic resonance imaging (MRI) data from
different modalities.
The PhD position will be based at the *Max Planck Institute for Human
Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both
Leipzig‘s long tradition in conducting neuroscientific research and the
ultra-modern equipment at the Institute provide an environment that
offers new perspectives in neuroimaging research. Further, the position
will be part of the CRCs Integrated Research Training Group. This
graduate program offers interdisciplinary qualification in various
research methods and transferable skills, and provides support in career
planning and in establishing an own scientific network.
Applicants should hold a Master's degree (or equivalent) in one of the
following disciplines: computational or cognitive neuroscience, computer
science, mathematics, physics, cognitive science or related. Prior
experience in the field of computational neuroscience and/or
neuroimaging are of advantage. Sound knowledge of statistics and
excellent programming skills are essential. A good command of written
and spoken English is requested of all applicants.
Please send your application as a single pdf-file to
_neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete
applications include cover letter, CV, letter(s) of recommendation, and
copies of university degrees and additional certificates.
Informal enquiries should be made to Dr Jane Neumann
(_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21).
The salary is based on the German E 13 TV-L salary scale. In order to
increase the proportion of female staff members, applications from
female scientists are particularly encouraged. Disabled applicants are
preferred if qualification is equal.
Deadline for application: until position is filled
Dear all,
I've been asked to forward this job description of an open postdoc
position in our lab. The
applicant will need fluent knowledge of the German language, therefore,
the ad and the attachment
were not translated to English. Sorry to everybody else...
Thanks,
Mareike
> Postdoktorandenstelle (4 Jahre) in der neurowissenschaftlichen Forschung
>
> Im Rahmen des neu bewilligten SFB-Transregios TR 134 „Ingestive
Behavior“ (Verbund Köln, Lübeck
> und Hamburg) ist für das Teilprojekt „Der Einfluss von Gewicht und
Gewichtsabnahme auf
> homoestatische und belohnungsassoziierte neuronale Netzwerke“ ab dem
1. April 2014 eine Postdoc-
> Stelle (100%) am Institut für Systemische Neurowissenschaften,
Universitätsklinikum Hamburg-
> Eppendorf zu besetzen.
>
> --
> Dr. Stefanie Brassen
> Department of Systems Neuroscience, Bldg W34
> University Medical Center Hamburg-Eppendorf
> Martinistrasse 52
> 20246 Hamburg, Germany
> Mail: sbrassen(a)uke.de
> Phone: ++49-40-7410-54865
> Fax: ++49-40-7410-59955
--
Mareike Düesberg
Dr. rer. hum. biol.
Institut für Systemische Neurowissenschaften
Universitätsklinikum Hamburg-Eppendorf, Haus W34
Martinistr. 52, D-20246 Hamburg, Germany
+49 40 7410 55469
m.menz(a)uke.de
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Besuchen Sie uns auf: www.uke.de
_____________________________________________________________________
Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen
Rechts; Gerichtsstand: Hamburg
Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vertreter des
Vorsitzenden), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Rainer Schoppik
_____________________________________________________________________
SAVE PAPER - THINK BEFORE PRINTING
On behalf of Dr Nikolaus Weiskopf, I am distributing the following job ad:
UCL INSTITUTE OF NEUROLOGY
Wellcome Trust Centre for Neuroimaging
Research Associate/Senior Research Associate in Real-Time fMRI
Applications are invited for a Research Associate / Senior Research
Associate in the Wellcome Trust Centre for Neuroimaging (WTCN), UCL
Institute of Neurology, London, UK, under the supervision of Dr
Nikolaus Weiskopf. The WTCN conducts cutting-edge research by means of
functional and structural brain imaging, and is equipped with three 3
T whole body MRI scanners (Siemens Tim Trio), an MEG system (CTF/VSM),
and MR compatible EEG and TMS systems. One of the MRI systems is
equipped with an optical tracking system for ultrafast prospective
motion correction (Kineticor).
The successful candidate will join the EU FP7 collaborative BRAINTRAIN
project which aims to use real-time fMRI to train patients to regulate
their own brain activity via neurofeedback training, and thus modulate
the brain networks of mental disorder. The project brings together the
core groups that have been instrumental in the development of methods
for real-time fMRI-based neurofeedback, and have led in the initial
clinical applications in neuropsychiatric disorders.
The post holder will work on methods for improving real-time fMRI both
in terms of data quality and accessibility by developing ultrafast
fMRI pulse sequences, methods for reduction of image artifacts,
tailored image reconstruction methods (e.g. advanced parallel imaging)
and methods for fast data transfer.
Applicants must have a PhD in physics, biomedical engineering,
computer science, or a comparable subject. If not already held, the
PhD must be obtained by the agreed start-date (Research Associate
applicants). A strong background in MR physics and image
reconstruction or data analysis is essential, as is strong expertise
in programming high-level languages (e.g. C/C++, Matlab). Applicants
must be specialists in at least two of the following areas:
Siemens/GE/Philips MR scanner operation and software, advanced MR
image reconstruction, pulse sequence programming, real-time fMRI
methods, functional MRI, SPM/Brainvoyager. Applicants for the Senior
Research Associate position will also need to demonstrate an
established publication track record and experience of leading a team
of researchers or project management.
The post is available immediately and is funded by the EU for two
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 –
www.ucl.ac.uk/hr/jobs where you can download a job description and
person specification using ref: 1386251.
If you have any queries regarding the application process, please
contact Samantha Robinson, Personnel Officer, UCL Institute of
Neurology, 23 Queen Square, London, WC1N 3BG (email:
IoN.HRAdmin(a)ucl.ac.uk).
Informal enquiries to Dr Nikolaus Weiskopf (email: n.weiskopf(a)ucl.ac.uk).
Further information on the lab:
http://www.fil.ion.ucl.ac.uk/Research/physics.html
Further information on the EU BRAINTRAIN project:
http://ec.europa.eu/research/health/medical-research/brain-research/project…
Closing date: 21 January 2014
UCL Taking Action for Equality
--
Dr. Siawoosh Mohammadi
Post Doctoral Research Fellow
Wellcome Trust Center for Neuroimaging
Institute of Neurology
University College London
12 Queen Square
London WC1N 3BG
United Kingdom
Tel. +44-20-344-84368, (internal ext 84368)
Fax. +44-20-7813-1420
siawoosh.mohammadi(a)ucl.ac.uk
To Whom It May Concern,
Please find below an advertisement for a PhD position currently
available in my laboratory. Please forward this to relevant students
within your department.
Best wishes and Happy new year,
Maria Chait
%%%%%%%%%%%%%%%
A 3 year PhD studentship in auditory cognitive neuroscienceis available
as part of a research collaboration between the UCL Ear Institute
(London, UK) and NTT Communication Science Labs (Nippon Telegraph and
Telephone corporation, Atsugi, Japan). The student will be based at the
UCL Ear Institute and supervised by Dr. Maria Chait. They will also be
working with Prof. Makio Kashino and Dr. Shigeto Furukawa (NTT). The
project will use psychophysics, eye tracking, autonomic response
measures and MEG functional brain imaging to investigate auditory
perception in natural scenes. Further information about research in the
laboratory can be found here: http://www.ucl.ac.uk/ear/research/chaitlab
The UCL Ear Institute provides state-of-the-art research facilities
across a wide range of disciplines and is one of the foremost centres
for hearing, speech and language-related research within Europe.
**
*Key Requirements*
Applicants should have a UK/EU nationality and a 1^St class, or upper
2^nd degree in a relevant discipline (e.g. Psychology, Neuroscience,
Engineering). The PhD work would require good programming skills (e.g.
in Matlab). Previous experience with auditory research, functional brain
imaging, signal processing and/or acoustics is desirable.
*For an informal discussion, or to submit an application please contact
Dr. Maria Chait (**m.chait(a)ucl.ac.uk* <mailto:m.chait@ucl.ac.uk>*).
Applicants should submit a supporting statement, a CV, and the details
of two academic referees. The studentship includes fees and a yearly
stipend (about £16000; tax free). *
Maria Chait PhD
m.chait(a)ucl.ac.uk <mailto:m.chait@ucl.ac.uk>
Reader in Auditory Cognitive Neuroscience
UCL Ear Institute
332 Gray's Inn Road
London WC1X 8EE
A doctoral (PhD) position is open in the research group Multimodal
Imaging in Normal and Pathological Cognition (Head: Dr. Igor Yakushev)
at the Department of Nuclear Medicine, Technische Universität München
(TUM), Munich, Germany.
The project is dedicated to analyses of multimodal brain imaging data
obtained from patients with mild cognitive impairment and Alzheimer’s
dementia, with the focus on multivariate analyses of PiB-Positron
Emission Tomography (PET) images. In particular, the student will
investigate spatial and temporal patterns of ß-amyloid deposition, in
conjunction with patterns of structural and functional brain
connectivity, as assessed by DTI/fMRI.
The research group is integrated into the TUM Neuroimaging Center, which
possesses a broad methodological and thematic expertise:
http://www.tumnic.mri.tum.de/tumnic/index.html
The PhD student will be enrolled at the TUM graduate school, which
offers a structured curriculum of courses and seminars (mostly in
English) and supports participation in conferences and international
exchange: http://www.gs.tum.de/en/home/
The Dept. of Nuclear Medicine offers exciting opportunities for
neuroimaging research, in an interdisciplinary environment consisting of
medical physicists, radiopharmacists and clinicians, and access to
state-of-the-art technology including a hybrid PET/MR scanner (Siemens
Biograph mMR).
Eligible candidates should have a background in applied mathematics,
computer science, image analysis or related disciplines. Prior
experience with PET or MRI, Matlab programming as well as good
statistical skills are required.
The student will be co-supervised by a partner department of the TUM
(e.g., Informatics), depending on his/her academic background.
A tax-free stipend of ca. 1500 EUR / month (+ ca. 1200 EUR / year for
travel and material expenses) is available for initially two years, with
the intention of prolongation for a further year. In addition, up to 450
EUR / month (tax-free) can be granted by the partner department,
depending on performance of the student and availability of funds. There
is no tuition fee.
The position is supported by Alzheimer Forschung Initiative e.v.
Germany, and can commence immediately. Interested researchers should
submit their applications including CV, two recommendation letters (or
names and contact details of personal references), and a brief letter of
motivation to Dr. Yakushev at igor.yakushev(a)lrz.tum.de
Applications will be considered until the position has been filled.
Dear list,
*Job1: PhD Positions are available in Neuroimaging and Brainnetome*
Applications close: *Jan. 15, 2014*.
*CAS-TWAS President’s Fellowship Programme Download
<http://www.brainnetome.org/images/job/PhD_Positions_CASIA.zip>*
The role
The development of the brain is characterised by the formation of
connections between neurons. One of the largest fibre tracts in the
brain is the corpus callosum, which connects neurons in the left and
right cerebral hemispheres. We are using molecular and genetic
approaches as well as state-of-the-art imaging technologies to discover
how the brain is wired up during development. This work has direct
implications for understanding how the brain functions and the
pathophysiological mechanism of psychiatric disorders, by integrating
the multi-level network features obtained with various functional and
anatomical brain imaging technologies on different scales.
Five PhD positions are available at Brainnetome Center of CASIA to
utilise neuroimaging technologies to discover mechanisms of brain
wiring. These positions will be supported by CAS-TWAS President’s
Fellowship Programme for PhD Candidates from Developing Countries and
other grants. They involve developing neuroimage analysis methods and
tools and applying them to neuroscience and clinical problems. In this
role the students will develop skills in developing computational
algorithms and computer programming in neuroimage analysis that could be
utilised in both basic research and clinical areas.
The person
Applicants should meet the requirements of “CAS-TWAS President’s
Fellowship Programme for PhD Candidates from Developing Countries” and
have MSc degree in one of the following fields: mathematics, physics,
neuroimaging, computer science, electronic engineering, neurobiology,
psychology, cognitive neuroscience, psychiatry, and neurology.
Outstanding C/C++ programming skills in Linux are highly desired.
Enquiries
Please contact Professor Tianzi Jiang at jiangtz(a)nlpr.ia.ac.cn
<mailto:jiangtz@nlpr.ia.ac.cn>. In order to complete the form
application process, please fill in the
*
Fellowship form
<http://www.brainnetome.org/images/job/PhD_Positions_CASIA.zip>
Applications close: *Jan. 15, 2014*.
Please visit our homepages www.brainnetome.org <http://www.brainnetome.org>
Sincerely,
Yong
--
Best wishes.
--------------------------------------------------------------------
Liu Yong
Brainnetome Center
National Laboratory of Pattern Recognition (NLPR)
Institute of Automation, Chinese Academy of Sciences (CASIA)
http://www.brainnetome.org/yongliu
Dear all,
Due to building work in the open plan area, to support the increased
numbers of students, YNiC's open plan area will be closed to users from
the start of January for around two weeks. The open plan area will
re-open to users on Monday January 13th. MRI, and MEG will not be
affected during this time although users will not be able to store their
belongings in the open plan area.
Remote access should be largely unaffected except during periods when
the power or local network has to be turned off for new cabling to be
installed. We will provide more information when it becomes available.
Please also note that we will be making an announcement about the
location of ynic seminars once we have been updated about the
availability of space in Psychology (or elsewhere).
Seasonal Greetings from the YNiC Team
Gary
The Department of Anesthesiology, University of California at Los
Angeles would like to invite applications for
one year Postdoctoral Fellow position starting from January 1, 2014 (or
as soon as possible), with possibility
for two more years extension, based on satisfactory performance.
_Project details_
Functional magnetic resonance imaging (fMRI) has become non-invasive
procedure to examine task-specific
brain activity and to quantify functional connectivity at resting stage.
The primary goal of this project is to
develop, optimize existing tools in the lab, and apply them to model
whole-brain functional connectivity based
on resting stage fMRI data and examine brain fMRI signal responses to
autonomic and other challenges using
data collected from patients with heart failure and obstructive sleep apnea.
_Qualifications_
A PhD in mathematics, biomedical engineering, electrical engineering,
neuroscience, or related field with
background and research experience in functional MRI-related research in
humans, especially in functional
MRI data processing and MATLAB-based programming, reflected in data
based publications, is required.
Experience in MRI data acquisition is also desirable. Excellent
communication skills in English (both verbal
and written) are essential.
_Environment_
Our lab is part of the neuroscience research community at UCLA, the
largest neuroscience community in the
nation, which hosts a large number of neuroscientists (>500), who
provide resources for neuroanatomic,
neuropathologic, neurophysiologic, neuropsychologic, and analytic
investigations. Our laboratory is
immediately adjacent to the Ahmanson-Lovelace Brain Mapping Center,
which provides a significant resource
in neuroimaging faculty (>28 faculty, both basic and clinical),
software, and analytic support, and there are
ample opportunities to interact with those scientists. Our lab uses a
3.0-Tesla (Siemens, Tim-Trio) MRI scanner,
located in the Department of Radiology Research laboratory, a unit
devoted to research studies with on-site
Ph.D.-level Siemens engineers.
_Appointment Terms and Salary_
The initial appointment would be for one year, with possibility for two
more years extension, based on
satisfactory performance. Salary and benefits would be based on UCLA
post-doctoral standards, which are
based upon research experience and qualifications for the position.
_Application Procedure and Deadline_
UCLA is an equal opportunity and affirmative action employer
(http://www.mednet.ucla.edu/), and all qualified
individuals are encouraged to apply. Applications will be accepted until
position is filled. To be considered for
this position, please send your CV and a cover letter to:
Rajesh Kumar, PhD
Email: rkumar(a)mednet.ucla.edu
--
Rajesh Kumar, PhD
Assistant Professor In-Residence
Departments of Anesthesiology and Radiological Sciences
David Geffen School of Medicine at UCLA
University of California at Los Angeles
Los Angeles, CA 90095-1763, USA
Tel: 310-206-1679, 6133
Fax: 310-825-2236
Email:rkumar@mednet.ucla.edu
------------------------------------------------------------------------
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We are looking for a highly motivated Postdoctoral Research Associate for the research group functional imaging of movement disorders (head of the group: Thilo van Eimeren) at the Brain Imaging Centre NeuroImage Nord.
The project “Neuronal basis of impaired motivation and inhibition of actions in patients with Parkinson's disease and behavioural addictions.” is funded by the German Research Foundation (DFG) and encompasses multiple functional imaging studies using pharmacologically modulated functional MRI to explore the role of dopamine in neural mechanism underlying behavioural additions (e.g., pathological gambling, compulsive shopping, binge eating, hypersexuality).
The candidate will work as part of an international and multidisciplinary team of neuroscientists (computer scientists, physicists, psychologists, neurologists, economists) with profound experience in functional imaging of patients with movement disorders. The department hosts a high volume outpatient clinic for patients with movement disorders as well as a functional imaging infrastructure including a 3T MRI scanner with ample dedicated research time.
The candidate will also interact with the team involved in the Leibniz Foundation project “Neurobiological Foundations of Economic Decision Making under Uncertainty and Excessive Risk Taking” at the Kiel Institute for the World Economy.
The applicant should have an MD or PhD in neuroscience, medicine, physics, computer science, psychology or a related field. Experience with functional imaging, especially fMRI data analysis as well as basic programming skills (e.g. Matlab) are desirable. Proficiency in German is desirable, but not mandatory.
Salary is according to the German TV-L (E13), the position is available immediately and will be offered for up to three years.
Please submit applications (motivation letter, CV, contact details of two references) by e-mail to tvaneimeren(at)gmail.com
Applications will be considered until Jan 19, 2014.
For questions or informal enquiries about the positions please also contact tvaneimeren(at)gmail.com
Happy Holidays!
www.neurologie-kiel.uk-sh.de/Über+unsere+Klinik/Mitarbeiter/Funktionelle+Bi…