Postdoc Position in Model-Based Reinforcement Learning

Postdoc Position in Model-Based Reinforcement Learning

The Data Science and Statistics Group, Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites applications for a postdoctoral research fellowship position within the field of statistical learning theory to be filled as soon as possible, earliest by 1 April 2023 and latest anytime within 2023, for a period of two years. Application deadline: 1 March 2023.

The research project aims to develop novel probabilistic approaches to model-based reinforcement learning to improve their sample efficiency. The project will search for major contributions to the field of approximate Bayesian inference of dynamical systems with application to reinforcement learning. The details of the topic scope will be tuned in collaboration with the successful candidate. The project is funded by a prestigious domestic grant.

IMADA has the unique feature of bringing mathematicians and computer scientists together within a single department to foster theoretically-supported data science research. IMADA is home to many ongoing externally funded research projects, as well as to a rich curriculum of data science courses. Data Science and Statistics Group is a synergy platform for the data science experts at IMADA.
We are seeking candidates with a PhD degree earned via a world-class research output in probabilistic machine learning theory or reinforcement learning theory documented by first-author publications at tier-1 level fundamental machine learning research venues including ICML, NeurIPS, UAI, AISTATS, ICLR, AAAI, IJCAI, JMLR, PAMI, etc.. From the candidates we expect excellent scientific writing skills in English. The successful candidate will participate in research projects and assist in student supervision. 

Place of work:
The Department of Mathematics and Computer Science is located at the main campus of the University of Southern Denmark, Odense, Denmark.
The University of Southern Denmark was founded in 1966 and now has more than 27,000 students, almost 20% of whom are from abroad. It has more than 3,800 employees, and 115 different study programmes in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense, the third largest city in Denmark.

Odense provides family-friendly living conditions with the perfect combination of a historic city centre with an urban feel and yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and Copenhagen. As the birthplace of Hans Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year.

For further questions about the position please contact Associate Professor Melih Kandemir on

Application, salary etc.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.

The application must include the following:
• A letter of motivation, including details on qualifications within subject area (max. one page).
• A curriculum vitae including information on previous employment, list of programming skills mastered by the applicant, and teaching and supervision experience.
• A full list of publications stating the scientific publications on which the applicant wishes to rely.
• A certified copy of your PhD degree certificate.
• At least one letter of recommendation from supervisors or previous employers. Should your referees wish to send their letters directly to us, please have them use e-mail: mentioning your name and the title of the position in the subject line. And please note that these also need to reach us before the deadline.

Shortlisting may be used in the assessment process.

Incomplete applications and applications received after the deadline will neither be considered nor evaluated.

To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.

Further information for international applicants about entering and working in Denmark.


Application deadline:
Apply online