Maastricht University has a vacancy for a postdoctoral researcher at the faculty of Health Medicine and Life Sciences in the department of Radiotherapy. Radiotherapy's strategic goal is to tailor cancer treatments to the clinical, biological and genetic characteristics of an individual patient so that the best outcome can be achieved. An important part of the strategy is the implementation of proton therapy, not only in Maastricht but also across the Netherlands. To this end, the ProTRAIT project was started together with UMC Groningen.

The aim of ProTRAIT is the realization of IT infrastructure needed for an evidence-based and model-based introduction of proton therapy into the clinic. In ProTRAIT, you will be responsible for the introduction and implementation of the Personal Health Train in all Dutch proton therapy centers. Important aspects of this work include adherence to the FAIR data principles and implementation of distributed learning.

Additionally, you will be part of a cross-faculty team consisting of computer scientists, medical physicists and medical informaticists, PhD students, software engineers and post-doctoral researchers. As an academic position focused on research, you will mentor and recruit PhD students and have limited teaching responsibilities.

Specific: You are a highly motivated individual with a PhD in data science, computer science, artificial intelligence, machine learning or equivalent. Experience with data integration, ontologies, Linked Data and Semantic Web technology is required. Experience in machine learning,medical images, image analysis and software engineering skills are a plus.

Generic: You are open-minded, independent, pragmatic and result-oriented individual with a strong international orientation and are able to take initiative. You are fluent in English, both in writing and speech. We are looking for a positively minded researcher with an affinity with health care research and motivated to build a scientific career in the area of basic and translational oncology research. You will closely collaborate with other members of the Knowledge Engineering and Radiomics team.

Fixed-term contract: 2 year.

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply.

For more information look at the website www.maastrichtuniversity.nl , Support/UM employees/Employment conditions.

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 16,300 students and 4,300 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

http://www.maastrichtuniversity.nl/

GROW - School for Oncology and Developmental Biology

GROW focuses on research and teaching of (epi)genetic, cellular and (micro)environmental factors and mechanisms underlying normal (embryonic and fetal) and abnormal (cancer) development, with emphasis on translational research aiming at innovative approaches for individualizing prevention, patient diagnostics and treatment.

Knowledge Engineering

The MAASTRO research division “Knowledge Engineering” is a computer science focused department embedded within a clinical environment (MAASTRO Clinic) and closely affiliated with GROW. MAASTRO KE performs research with the aim to provide decision support systems for individualized radiotherapy.  It has two research themes:

- Build global data and application IT infrastructures across radiotherapy centers

- Use these data to machine learn individual prediction models that can be used for decision support.

https://www.maastrichtuniversity.nl/research/school-oncology-and-developmental-biology