Two Postdoc Positions on Deep Learning in Medical Imaging

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](https://www.utwente.nl/en/eemcs/sacs/) 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)](https://www.utwente.nl/en/techmed/) and Digital Society Institute [(DSI)](https://www.utwente.nl/en/digital-society/)

This position is part of a national 4TU program on [Precision Medicine](https://www.4tuprecisionmedicine.net/) 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.

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 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.