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Computer Science, PhD Position in Continual Reinforcement Learning – SDU, Denmark


The Data Science and Statistics GroupDepartment of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites applications for a PhD research fellowship position within the field of probabilistic machine learning – Denmark, Nov 2021

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General Info

Position: PhD
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired on
Joining Date: Jan 01, 2022
Contract Period: Not Mentioned
Salary: According to Standard Norms

Data Science and Statistics Group,
Department of Mathematics and Computer Science (IMADA)

Odense M,

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Qualification Details

We are seeking candidates with a strong desire to make significant contributions to science, specific interest in basic machine learning research, and an outstanding theoretical background in machine learning and probability theory demonstrated by excellent course grades and optionally by scientific publications, as well as strong scientific programming skills. We also expect from the candidates excellent spoken and written communication skills in English.The successful candidate will develop a PhD thesis by taking part in basic research projects and fulfil teaching assistantship duties. Candidates are expected to have a Master's degree in Computer Science, Mathematics, Physics or related areas at the time of the commencement of employment.

Responsibilities/Job Description

According to the lab interest

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

Application must be made in the form of a Declaration of Interest including the following:• A research proposal/description of your approach to the above project (max one page excluding references)• A letter stating your specific interest, motivation and qualifications for the project in question (max. two pages) (please attach this under box "Application form")• Detailed CV, including personal contact information• Copies of diplomas, Bachelor as well as Master’s degree, including transcript of notes/grades• At least two signed reference letters. 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 deadline. Shortlisting may be used in the assessment process.

Further information about the PhD-study can be found at the homepage of the University.

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.

About the Project

The research project scope targets fast adaptation of continual reinforcement learning systems to changing environment conditions. The project addresses this fundamental problem using the PAC-Bayesian theory in conjunction with causal inference for the first time. 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 well-backed high-quality 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 in IMADA.

About the Employer: University of Southern Denmark (SDU)

Note or Other details

Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters.

Further information for international applicants about entering and working in Denmark

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Contact details

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

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