Postdoc Position: Probabilistic Graphical Models at the Donders Centre for Cognition

Are you interested in Bayesian networks, both in foundational topics as well as their application in clinical decision support systems? Do you want to work in an interdisciplinary environment and collaborate with mathematicians, cognitive scientists and medical specialists? Then this postdoctoral position may be something for you!

Our Personalised Care in Oncology (PersOn) consortium is looking for a postdoctoral researcher in Probabilistic Graphical Models (PGMs) to work on fundamental research in Bayesian networks as well as in their application in clinical decision support. Together with other postdocs and PhD candidates from various backgrounds, you will lay the foundations for the next generation of clinical decision support systems for treatment and follow-up care in oncology. You will work closely together with other PGM experts, as well as with researchers, health care practitioners, and stakeholders in explainable decision support. Your work will be foundational, advancing the state of the art in PGMs, as well as applied, focusing on explainability, traceability and justification in Bayesian networks to help advance shared decision making about personalised health care.
You will be embedded in the Probabilistic Graphical Models group within the Human-Centred Intelligent Systems department, where the core research lines are in foundations of stochastic computing and PGMs for clinical decision support. Ideally, your fundamental research both aligns with as well as complements the current expertise in the group. You will be expected to help define the group’s research focus and positioning at the Donders Centre for Cognition (DCC) and in the international PGM community, and to help maintain a safe and inspiring research environment for our team members. This includes co-mentoring of PhD candidates and students and contributing to diversity, equity and inclusion in the group and the department. You will have the ability to develop your teaching skills, helping you further qualify for a career as independent academic researcher.

Requirements:

• You have a PhD in Computer Science, Mathematics or Artificial Intelligence with a focus on theory and/or applications of probabilistic graphical models.
• You have a track record of publications in PGM-focused conferences, such as UAI, ECSQARU, AIStats, or PGM, and/or a track record of publications in journals in the field.
• You have a strong desire to contribute to the foundational research of the PGM chair, including topics such as computational complexity, approximate inference algorithms, sum-product networks, credal networks, causal inference, structure learning, and sensitivity analysis.
• In addition you like to contribute to the Personalised Care in Oncology project by tailoring your work towards explainability, justification or traceability in Bayesian networks.
• You value diversity, equity and inclusion and want to contribute actively to a safe and inspiring research environment.

Salary Benefits:

• We will give you a temporary employment contract of one year with the prospect of an indefinite contract.
• Your salary within salary scale 11 depends on your previous education and number of years of (relevant) work experience. The amounts in the scale are based on a 38-hour working week.
• You will receive an 8% holiday allowance and an 8,3% end-of-year bonus.
• You will be able to use our Dual Career and Family Support Service. The Dual Career Programme assists your partner via support, tools, and resources to improve their chances of independently finding employment in the Netherlands. Our Family Support Service helps you and your partner feel welcome and at home by providing customised assistance in navigating local facilities, schools, and amenities. Also take a look at our support for international staff page to discover all our services for international employees.
• You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20.

Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.

38 hours per week

Houtlaan 4