Build relationsships.
Join real people.
You are not alone.
Your data stays inside.
Now it is your turn.




Date & time Jul 20
Ends on Jul 27
Twente, Netherlands
Creator lhammes
Category call


Who's attending

lhammes Free



Job description

Medical image analysis, inverse problems in medical imaging and machine learning are becoming more and more intertwined in theory as well as in applications. We are looking for two postdoctoral candidates to work on the development of new machine learning methods at the interface of mathematical imaging, inverse problems, and medical image analysis. Potential research topics include learned image reconstruction, geometric deep learning, and physics-informed neural networks for 4D imaging.

The research will be conducted in the Applied Analysis group of the Department of Applied Mathematics of the University of Twente. We are a growing research group at the intersection of inverse problems, geometric deep learning, and physics-informed machine learning with applications in medical imaging. We closely work with collaborators in hospitals and industry and are strongly involved in activities around AI in our university’s Technical Medical Center (Techmed) and Digital Society Institute (DSI)

This position is part of a national 4TU program on Precision Medicine that includes four technical universities and several academic hospitals. As such, you are expected to collaborate with physicians and physicists on the combination of model-driven and data-driven approaches for image formation and analysis in a range of imaging modalities, including MRI, CT, and ultrasound.

Your profile

We are looking for an enthusiastic postdoctoral researcher with an interest in machine learning and medical imaging. The ideal candidate has:

  • a PhD in applied mathematics, computer science or a related field;
  • a strong publication record in international conferences and journals relating to machine learning, medical image analysis or mathematical imaging and inverse problems;
  • first-hand programming experience in libraries such as TensorFlow/PyTorch/JAX.

Our offer

Our intention is to offer a fulltime position of two years within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues. The terms of employment are in accordance with the collective labor agreement for Dutch universities (CAO-NU) and include:

  • Gross salary between € 3.353 and €4.402 per month depending on experience and qualifications;
  • Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme;
  • Between 29 and 41 leave days in case of full-time employment;
  • Excellent support for research and facilities for professional and personal development.

We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff.

Information and application

Are you interested to be part of our team? Please send your application before August 1, 2021 via the "apply now" button below, and include:

  • an application/motivation letter, emphasizing your specific interest and motivation to apply for this position;
  • a detailed CV (resume) and a publication list;
  • contact details of at least 2 referees;
  • an academic transcript of B.Sc., M.Sc. education and a 2-3 (A4) page summary of your PhD dissertation;
  • a TOEFL or IELTS score to verify sufficient mastering of the English language.

For more information about this vacancy, please contact prof.dr. C. Brune, [email protected]

About the organization

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

University of Twente (UT)

University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As ‘the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.

As an employer, University of Twente offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With us, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customisable conditions.

Apply now

The Wall

No comments
You need to log in to comment
Password protected photo
Password protected photo
Password protected photo