PhD Project on Large Scale Computing for the Modelling of Whole Brain Connectivity

DTU Compute would like to invite applications for a 3-year PhD position starting October 1st, 2013. The project is financed by the Lundbeck Foundation.

Project Description
Functional and diffusion magnetic resonance imaging (fMRI and dMRI) have become key non-invasive brain imaging techniques used to quantify the functional and structural connectivity of the brain. While these imaging modalities can be used to derive local connectivity estimates inferring the global patterns of connectivity at the 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 and structural connectivity. Key components in the project include high-performance computing, software development, non-parametric Bayesian modelling of complex networks, and fMRI and dMRI data processing.

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 dMRI data.

Candidates must have a Master’s degree in engineering, or equivalent academic qualifications. Experience in high-performance computing, software development, machine learning and Bayesian modelling are required and experience in modelling neuroimaging data is a definite advantage. 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. Information about the general requirements for enrolment and the general planning of the scholarship studies is included in the general rules at DTU, which may be obtained.

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The assessment of the applicants will be made by Associate Professor Morten Mørup or Associate Professor Mikkel N. Schmidt.

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 project can be obtained from Associate Professor Morten Mørup or Associate Professor Mikkel N. Schmidt.

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, DTU Compute, Matematiktorvet , Bygning 324, rum 110, DTU, DK – 2800 Lyngby, phone: + 45 4525 3359.

To apply, please read the full job advertisement at the Apply button below. Application deadline: 1 September 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 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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