PhD position: prediction of tumor grade/recurrence

Technical University of Denmark
Job Type: 
Full Time
Closing Date: 
Thursday, March 15, 2018

The Department for Applied Mathematics and Computer Science at the Technical University of Denmark invites applications for a 3-year PhD position starting in April-June 2018. The project is part of an ambitious EU-funded project TRABIT ( that aims to develop new computational methods to analyze the "wild" type of neuroimaging data arising in the standard clinical treatment of brain disorders.

Glioma is the most frequent primary brain tumor and a disease with poor prognosis. Diagnosis and decisions about treatment rely in most cases on information obtained from magnetic resonance imaging (MRI) and sometimes positron emission tomography (PET) scans, although currently in a rather rudimentary fashion. The overall goal of this PhD project is to develop accurate and interpretable prediction models for brain tumor grading and tumor recurrence detection from joint PET/MRI scans, taking advantage of the increase in sensitivity and specificity of dynamic FET PET data compared to conventional MRI. The project will involve designing and implementing novel probabilistic models, as well as validating the developed tools on several retrospective studies of patients that underwent radiochemotherapy.

The selected candidate will be able to take advantage of the unique set-up of the TRABIT network, in particular through secondments (external research stays) at Mediri and the Technical University of Munich (both in Germany), as well as network-wide training events. The research will be performed in close collaboration with the Rigshospitalet (Copenhagen University Hospital).

Candidates must have a master degree in applied mathematics, physics, computer science, electrical engineering, or a similar degree with an equivalent academic level. A genuine interest in probabilistic modeling, machine learning and/or signal processing is a must, as is the ability (or the willingness to learn) to program in C++, Matlab or Python. Prior exposure to medical imaging is not required. Ability to travel for secondments in the TRABIT network is essential.

The TRABIT network offers a number of unique possibilities, including:
- An exciting interdisciplinary research environment of eight top-level universities and research institutes, six hospitals, and five industrial partners.
- International secondments to other partners in the TRABIT network; dedicated network-wide training events and conferences; anticipated participation in other international conferences and workshops.
- Co-supervision of your research by experts from industry, academia and hospitals, as well as access to state-of-the-art computational facilities and large collections of clinical neuroimaging data to support your research.
- Special emphasis on career development through transferable skills training including entrepreneurship, innovation, IPR, industry work, scientific writing, etc.
- An employment contract or other direct contract with equivalent benefits, including social security coverage, with a competitive salary; an additional mobility allowance of 600 EUR/month; and a family allowance of 500 EUR/month if you have a family at the time of recruitment

Further information concerning the project can be obtained from prof. Koen Van Leemput,

Applications must be submitted by following the instructions detailed at the TRABIT website: The application deadline is 15 March 2018.