Pathology labs are undergoing an unprecedented and rapid transformation. Whole slide imaging (WSI) of histopathological specimen in combination with deep machine learning/artificial intelligence methods have accelerated the field of Computational Pathology that aims to augment, automate or improve a number of tasks that are currently performed by medical experts. Nevertheless, many challenges relating to application of artificial intelligence methods in Computational Pathology remain open.

This research project focuses on developing of novel deep machine learning algorithms/artificial intelligence methods for analysis of whole slide histopathology images. More specifically, you will develop methods that enable end-to-end training of deep machine learning models using large (up to 100,000-by-100,000 pixels) whole slide images as input. Particular attention will be put on explainable models that can give insight into the workings of the model and communicate that information to clinical experts.  The developed methods will be applied to a variety of clinical applications with a particular focus on oncology.

The project will be supervised by Dr. Mitko Veta, Assistant Professor in Medical Image Analysis at TU/e Department of Biomedical Engineering. During the project you will closely collaborate with clinicians and researchers of the Department of Pathology, University Medical Center Utrecht. The PhD project is part of a large European consortium combining leading European research centers, hospitals as well as major pharmaceutical industries.

The successful candidate will become a member of the Medical Image Analysis Group at the Department of Biomedical Engineering, headed by Prof. Josien Pluim. The group consists of around 20 enthusiastic researchers, working on both methodological and applied innovations. Research topics include image analysis and quantification, and (deep) machine learning for oncology, cardiology, neurology and histopathology, as well as high-field MR imaging and RF safety. The group has strong ties with the University Medical Center Utrecht (both in research and education) and Philips, but also collaborates with other clinical institutes and industry.

• A master's degree (or an equivalent university degree) in Mathematics, Physics, Computer Science, Electrical Engineering, Biomedical Engineering or a related discipline
• Experience in (deep) machine learning/artificial intelligence
• Preferably experience in medical image analysis and/or computational pathology
• Excellent Python programming skills

We are looking for candidates who have:

• The ability to contribute to cross-disciplinary collaborations
• A research-driven and proactive attitude
• Excellent written and oral communication skills in English

TU/e aims to increase diversity among its employees and encourages applications from under-represented groups; in particular, female scientists are encouraged to apply.

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for four years, with an intermediate evaluation after one year.
• To support you during your PhD and to prepare you for the rest of your career, you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.