[Comp-neuro] Postdoc Position in Modelling Functional Whole Brain
Connectivity from fMRI
mmor at dtu.dk
Wed Sep 25 15:01:09 CEST 2013
Postdoc Position in Modelling Functional Whole Brain Connectivity from fMRI
DTU Compute, Technical University of Denmark would like to invite applications for a 1-year Post Doc position starting as early as 1 November 2013, with possibility for an extension to two years.
Functional magnetic resonance imaging (fMRI) has become a key non-invasive brain imaging technique used to quantify the functional connectivity of the brain. While this imaging modality can be used to derive connectivity estimates inferring the global patterns of functional connectivity at the whole brain level poses an important modeling challenge.
The main goal of this project is to develop and apply tools for the modeling of whole brain functional connectivity based on fMRI data. Key components in the project include fMRI data processing and connectivity analysis using Bayesian modeling approaches. The project will be based on current work on non-parametric Bayesian models of brain connectivity and will be part of a larger project “Non-parametric Relational Modelling of Functional and Structural Brain Connectivity” funded by the Lundbeck Foundation (2012-2017) aiming at inferring whole brain connectivity from fMRI and diffusion MRI data.
Candidates must have a PhD degree in engineering or equivalent academic qualifications. Experience in multivariate modeling approaches for neuroimaging data in general and fMRI data in particular is a definite advantage. Proficiency programming in Matlab and using fMRI neuroimaging software is also important while the applicant is expected to have a basic knowledge about the human brain. Excellent communication skills in English are essential.
We offer an interesting and challenging job in an international environment focusing on education, research, public-sector consultancy and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.
Salary and terms of appointment
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union.
Further information concerning the available position can be obtained from Associate Professor Morten Mørup<mailto:mm at imm.dtu.dk> at Section for Cognitive Systems, DTU Compute, Technical University of Denmark or Senior Researcher Kristoffer Hougaard Madsen<mailto:kristofferm at drcmr.dk> at Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre.
Please submit your online application no later than 20 October 2013. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please visit http://www.compute.dtu.dk/english/about_us/vacant_jobs/a58fd704-92b0-495c-abcd-867310aba4a7.aspx and open the link "Apply online”, fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
• Application (cover letter)
• List of publications
Applications and enclosures received after the deadline will not be considered.
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.
DTU Compute conducts research and education in the fields of mathematical modelling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique competences of the institute are in demand in IT innovation and production.
DTU is a technical university providing internationally leading research, education, innovation and public service. Our staff of 5,000 advance science and technology to create innovative solutions that meet the demands of society; and our 9,000 students are educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.
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