PhD Project on Bayesian Modelling of Functional Whole Brain Connectivity



DTU Compute would like to invite applications for a 3-year PhD position starting as early as January 1st, 2014. The project is financed by the Lundbeck Foundation.

Project Description
Functional magnetic resonance imaging (fMRI) is a key non-invasive brain imaging techniques that can be used to quantify functional connectivity in the brain. While fMRI as an imaging modality can be used to quantify local connectivity estimates inferring the spatio-temporal patterns of connectivity at a whole brain level poses an important modelling challenge.

The main goal of this project is to develop statistical tools for large scale modelling of functional connectivity. Key components in the project include non-parametric Bayesian modelling, high-performance computing and fMRI data processing.

The project will be based on current work on non-parametric Bayesian models for 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 dMRI data.

Requirements
Candidates must have a master degree in engineering, or equivalent academic qualifications. Experience in machine learning, Bayesian modelling, neuroimaging and high-performance computing are definite advantages. Excellent communication skills in English are essential.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the ITMAN Graduate School Programme of DTU Compute. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

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Assessment
The assessment of the applicants will be made by Professor Steen Mørup and Senior Researcher Kristoffer Hougaard Madsen.

Salary and appointment terms
The salary and appointment terms are consistent with the current Danish rules for PhD degree students.

Further Information
Further information concerning the available position can be obtained from Associate Professor Morten Mørup at Section for Cognitive Systems, DTU Compute, Technical University of Denmark or Senior Researcher Kristoffer Hougaard Madsen at Danish Research Centre for Magnetic Resonance Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre.

Further information concerning the application is available at the DTU Informatics PhD homepage, the DTU Informatics Graduate School ITMAN homepage or by contacting the responsible ITMAN Graduate School coordinator: Ulla Jensen, phone: + 45 4525 3359. 

Application
To apply, please read the full job advertisement at the Apply button below.

Application deadline: 4 December 2013

DTU Compute conducts research and education in the fields of mathematical modeling 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 7,000 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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