Summary
DTU Compute is seeking a highly motivated Postdoc for a 2-year position focusing on Probabilistic Methods for Sequential Decision-Making. The successful candidate will contribute to a research project aimed at developing novel techniques for decision-making under uncertainty, with applications in areas like healthcare, smart cities, and robotics. This role offers an opportunity to work within a dynamic research environment, collaborating with leading experts in the field.
Designation
Postdoc
Research Area
- Probabilistic Methods
- Sequential Decision-Making
- Decision-making under uncertainty
- Stochastic Optimization
- Reinforcement Learning
- Bandit Problems
- Bayesian Optimization
- Applications in healthcare, smart cities, and robotics
Location
DTU Compute, Technical University of Denmark (DTU), Lyngby, Denmark
Eligibility/Qualification
General Qualifications
- A PhD degree in a relevant field (e.g., Computer Science, Applied Mathematics, Statistics, Engineering).
- Strong background in probabilistic methods, machine learning, optimization, or related areas.
- Demonstrated research experience in sequential decision-making, reinforcement learning, or bandit problems is a significant advantage.
- Proficiency in programming languages commonly used in research (e.g., Python, R, MATLAB).
- Excellent analytical and problem-solving skills.
- Ability to work independently and as part of a team.
- Strong communication skills, both written and oral, in English.
Specific Qualifications (Preferred)
- Experience with Bayesian optimization or other advanced probabilistic modeling techniques.
- Track record of publications in top-tier conferences or journals in the relevant fields.
- Experience with real-world applications of sequential decision-making.
Job Description
The Postdoc will be responsible for conducting cutting-edge research in probabilistic methods for sequential decision-making. Key responsibilities include:
- Developing and implementing novel algorithms and theoretical frameworks.
- Conducting experiments, analyzing data, and interpreting results.
- Publishing research findings in peer-reviewed journals and presenting at international conferences.
- Collaborating with other researchers within DTU Compute and external partners.
- Potentially supervising PhD and Master’s students.
- Contributing to grant applications and project development.
The successful candidate will join a vibrant research group with access to state-of-the-art computational resources and a collaborative environment.
How to Apply
Interested candidates should submit their application online through the official DTU recruitment portal. The application must include:
- A cover letter (max. 1 page) detailing your motivation, research interests, and how your qualifications match the position.
- A curriculum vitae (CV) including a list of publications.
- A copy of your PhD diploma and academic transcripts.
- Contact information for 2-3 references.
- A research statement (optional, but recommended, max. 2 pages) outlining past research achievements and future research plans relevant to the position.
All application documents should be uploaded as a single PDF file, if possible.
Last Date for Apply
Until position filled
Apply Link
Apply for Postdoc in Probabilistic Methods for Sequential Decision-Making at DTU Compute
