The University of Twente is seeking for an Assistant Professor (Tenure Track position) in the area of deep learning for model-driven image reconstruction.

Responsibilities

Successful Candidate will establish an independent research line in applied mathematics towards the emerging field of machine learning in inverse problems. With applications in medical imaging science, the candidate will add synergistically to our current research portfolio.

In particular, the candidate must have expertise in the field of deep learning in inverse problems with a particular focus on medical image reconstruction, e.g. for MRI, ultrasound, photoacoustics, or multi-modal combinations thereof. For a strong synergy within our faculty, additional interest in computer vision or AI/VR for robotics would be an asset.

The University of Twente has envisioned a full integration of these research lines within the Imaging and Diagnostics cluster and the imaging domain and infrastructure of the Technical Medicine (TechMed) Center of the University of Twente.

• Candidate will conduct international high-quality research and give to developing a research network and leading a strong and visible research line.
• Candidate should have an excellent scientific track record, will teach Bachelor and Master level courses, supervise BSc and MSc theses and contribute to the development of new courses.
• Candidate is expected to be bold in attracting (national and European) research grants to support the research lines.
• Candidate will lead PhD students in combination with the departmental professors and have obtained (an equivalent of) the Dutch Basic Teaching Qualification (BKO) or are willing to do so.

Remuneration

• Starting salary between € 3.545,- to € 5.405,- gross per month based on your experience;
• A start-up package for Tenure Trackers, incl. a PhD candidate at the start of the track;
• A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%;
• A solid pension scheme;
• Possibilities to save up holidays for sabbatical leave;
• Minimum of 29 holidays in case of full-time employment;
• Professional and personal improvement programs, including mentoring;
• A high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff is strongly supported.

For more information please contact Dr. C. Brune, [email protected]