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Postdoc on the project: Deep Imaging-Genetics for Osteoarthritis

  • Research & Education
  • 36 hours
  • Radiology and Nuclear Medicine

  • Closing date 31-05-2020
  • 21.07.20.TDA

Job description

The project is part of a recently announced and highly ambitious research programme “Convergence for Health and Technology”, a joint initiative of Erasmus MC and Delft University of Technology (TU Delft).  The TU Delft, the highest ranked university of technology of the Netherlands, and Erasmus MC, the largest university medical centre in the Netherlands, together have the expertise, resources, facilities and drive to profoundly impact on the future of health and healthcare in the Netherlands and beyond.

This project aims at enabling earlier diagnosis of osteoarthritis (OA), improving prediction of OA progression and effects of interventions, and enhancing the understanding of underlying disease processes, using a comprehensive imaging-genetics approach. You will work on the integration of high-dimensional genomics and imaging data, design novel deep learning models for such data, and develop rigorous statistical learning methodology to derive powerful diagnostic, predictive and causal models. The project brings together worldwide experts in early diagnosis of OA, genomics of OA, as well as advanced mathematical modelling and image analysis. This expertise in combination with unique resources (the world largest longitudinal dataset on OA, and clinical trials through the OA-trial bank) creates an enormous opportunity to advance the field

Work environment

You will be embedded in the Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine, Erasmus MC, which is internationally at the forefront of biomedical imaging analysis and artificial intelligence, and offers a dynamic, challenging, and cooperative research environment.

Qualifications and skills

  • You must have a PhD degree in Computer Science, Mathematics, Physics, Electrical Engineering, Biomedical Engineering, or a related field.
  • You must have previous experience with machine learning techniques and biomedical image analysis.
  • Experience with causal inference, osteoarthritis research, and/or genetics/bioinformatics is an advantage.
  • You should be familiar with programming (preferably Python).
  • Strong mathematical skills and affinity with experimental work are required, the same goes for a desire to bridge the gap between research and practice.
  • You should have motivation and ability to work both independently and as a member of a large team.

Before you apply please check our conditions for employment.

Terms of employment

As a PostDoc you will get a temporary appointment for a maximum of 24 months (full-time). The gross monthly salary ranges from € 2.826,- to € 4.481- (scale 10) depending on your level of education and relevant experience and based on a full-time workweek. The terms of employment are in accordance with the Collective Bargaining Agreement for University Medical Centers (CAO UMC).

Information and application

For more information about this position, please contact Dr.ir. S. Klein, project leader, via e-mail: bigr-vacancies@lists.erasmusmc.nl.

How to apply:
Please apply through the Convergence website. Applications should include a curriculum vitae, a motivation of your application; a list of publications and copies of up to three publications (in English).

PLEASE DO NOT USE THE APPLICATIONBUTTON ON THIS WEBSITE.

No agencies please.

Erasmus MC

Pioneering, pushing boundaries and leading: in healthcare, education and research

Our roots lie in Rotterdam, a city and port of international standing. We are the most innovative university medical center in the Netherlands and one of the world’s leading centers of scientific research. With passion and dedication we are committed to achieve a healthy population and pursuing excellence in healthcare through research and teaching. We have access to the latest equipment and techniques. A working environment that gets the best out of people.

Learn more about our ambitions