Assistant professor in Health Artificial Intelligence

Welcome to Maastricht University! Are you passionate about developing AI solutions that transform healthcare and improve human well-being? Do you want to contribute to the next generation of intelligent health systems that empower patients, clinicians, and researchers alike? Then join the Department of Advanced Computing Sciences at Maastricht University as an Assistant Professor in Health Artificial Intelligence.Job DescriptionThe Department of Advanced Computing Sciences (DACS) at Maastricht University is seeking a new colleague to strengthen our research and education portfolio in Artificial Intelligence for Health. We are looking for a creative and collaborative researcher who develops or applies AI methods to improve health outcomes, advance medical research, and enable responsible, data-driven healthcare.Your Work May Focus On Topics Such AsHealth data integration and knowledge representation (e.g. FAIR data, semantic interoperability, ontologies, knowledge graphs);Machine learning and generative AI for health (e.g. multimodal patient modeling, predictive and personalized analytics);Responsible and explainable Health AI (e.g. bias, fairness, transparency, data governance).AI teaming and human–AI collaboration (e.g. cooperative and assistive AI systems, human–AI co-decision making, multi-agent coordination, human-robot teaming). You will have the opportunity to collaborate across disciplines with clinicians, data scientists, and social scientists at Maastricht University Medical Center (MUMC+), the Brightlands campuses, and our partners in European and national research initiatives (e.g. Horizon Europe, NWO). You will be encouraged to develop an independent research line, acquire external funding, and mentor PhD candidates and postdoctoral researchers.In addition to your research, you will contribute to our top-rated education in Artificial Intelligence, Data Science, and Computer Science. You will help develop and teach courses in AI for Health, or related topics within our Bachelor’s and Master’s programmes. Your time will be equally divided between research and education (50/50).RequirementsWe are looking for a colleague who is passionate about research and who enjoys teaching. You feel at home in a strongly international and diverse community like ours. Furthermore, we are looking to welcome a colleague who fosters collaboration at all levels.Our Ideal Candidate HasA PhD degree in Artificial Intelligence, Computer Science, Data Science or a closely related field;A strong research profile in one or more areas of health AI;Demonstrated ability to publish in high-quality venues and collaborate across disciplines;Preferably at least two years of postdoctoral or equivalent experience in academia or industry;Experience in acquiring research funding at national or international level (e.g. Horizon Europe, NWO);Effective communication and teaching skills in English;A strong commitment to responsible, ethical, and transparent AI for health.What We OfferAt Maastricht University, you’ll work in an international, open, and engaged environment. We offer:A 18-month contract with the prospect of a permanent contract based on mutual satisfaction.A gross monthly salary between € 4.728,00 and € 6.433,00 (based on full-time employment of 38 hours per week). 8% holiday allowance and an 8.3% year-end bonus.29 vacation days (based on full-time), four additional days off (Carnival Monday and Tuesday, Good Friday, and Liberation Day), and the possibility to accrue up to 12 extra days through compensation hours.Flexible working hours, a home office allowance, and the option to work from home.Freedom and space to shape your work independently and develop your ideas.A close-knit community of colleagues to collaborate and grow with.A solid pension plan via ABP, company fitness schemes, and access to various university sports facilities.An inspiring work environment in the heart of Europe. About The Faculty Of Science And Engineering (FSE)FSE is a young, rapidly growing faculty where science, technology, and society converge. We combine STEM and social sciences in innovative programmes such as Data Science and Artificial Intelligence, Systems Biology and Bioinformatics. Our research and education are interdisciplinary, practice-oriented, and socially relevant. We take pride in our open culture and strong team spirit.Department of Advanced Computing SciencesThe Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics. Over 100 researchers work and study in the Department of Advanced Computing Sciences, whose roots trace back to 1987. The department’s staff teaches approximately 1.350 bachelor’s and master’s students in 4 specialized study programmes. Click here for more information.About Maastricht UniversityAt Maastricht University, we collaboratively seek solutions to help move the world forward. We do this with 23,300 students and 5,400 employees across 5 regional locations, 6 faculties, and more than 70 research institutes. We encourage you to push boundaries and discover new opportunities for yourself and the world around you. Together, we can find the answers for tomorrow.Curious?If you have questions about this position, you can refer to: Distinguished Prof. dr. Michel Dumontiermichel.dumontier@maastrichtuniversity.nlDepartment of Advanced Computing SciencesApplying?Or are you already convinced and ready to become our new Assistant Professor? Apply now, no later than 4 January 2026, for this position.Please Send In The Following DocumentsMotivation letter;CV;Research statement;Teaching statement;List of publications;Contact information (names, e-mail addresses, and phone number) of two persons willing to provide references.The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.