Postdoc in Probabilistic Methods Sequential Decision-Making - DTU Compute

Danmarks Tekniske Universitet; Ørsted; On-site; DKK 420,000 - 540,000; Full time

Job summary

DTU Compute invites applications for a fully funded post-doc position focused on probabilistic machine learning and active inference for sequential decision-making under uncertainty.

The role involves developing novel models, implementing using ML frameworks, and disseminating results through publications while contributing to the academic environment at DTU Compute.

Qualifications

• Proven expert knowledge and experience in probabilistic machine learning and deep learning

Responsibilities

• Conduct independent and collaborative research on probabilistic machine learning and active inference for sequential decision-making under uncertainty
• Develop models and algorithms and evaluate them using modern ML frameworks
• Disseminate results through publications in leading journals and conferences
• Contribute to academic environment with limited teaching and supervision activities

Skills

Probabilistic ML

Deep learning

Python

PyTorch

JAX

HPC/GPU

Analytical skills

Publications

Education

PhD in ML / signal processing / data science

Tools

PyTorch

JAX

Job description

Are you interested in probabilistic machine learning, uncertainty quantification, and sequential decision-making?

Then this post-doc position may be for you.

DTU Compute invites applications for a fully funded post-doc position with a duration up to two years.

The position is part of the research grant “Active Inference for Dynamic Pricing”, funded by the Fund of 20th December. The overall aim of the project is to investigate active inference as a principled framework for developing robust methods for sequential decision-making under uncertainty, building on state-of-the-art machine learning methods and architectures. The project will investigate and validate the developed methodology through several real-world applications, including dynamic pricing.

You will be part of the Section for Cognitive Systems, a dynamic and research-oriented group of scientists, technical personnel, and administrative staff. We have a broad interest in machine learning and information processing in humans and computers and a particular focus on the signals they exchange.

Responsibilities

As a postdoctoral researcher, you will conduct independent and collaborative research on probabilistic machine learning and active inference for sequential decision-making under uncertainty. Your work will involve developing novel models and algorithms, as well as implementing and evaluating them using modern machine learning frameworks. You will investigate the proposed methodology through realistic use cases, including dynamic pricing. The position also includes disseminating research results through publications in leading international journals and conferences, and participating in scientific collaborations. As a post-doc, you will also contribute to the academic environment at DTU Compute, including limited teaching and supervision activities.

Qualifications

• Proven expert knowledge and experience in probabilistic machine learning and deep learning
• Excellent analytical and mathematical problem-solving skills
• Excellent programming skills (Python and modern machine learning frameworks like PyTorch, JaX, etc.) and experience in working with HPC/GPU environments
• A track record of publication and presentation of research results in quality journals/conferences.

As a formal qualification, you must hold a PhD degree (or equivalent) in machine learning, signal processing, data science or a related field.

We offer

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The period of employment is two years with a starting date as soon as possible subject to mutual agreement. The position is a full-time position.

You can read more about career paths at DTU here.

Further information

For further information, contact Associate Professor Bjørn Sand Jensen ([e-mail]) or Associate Professor Michael Riis Andersen ([e-mail]) from the section of Cognitive Systems at DTU Compute.

You can read more about the DTU Compute at www.compute.dtu.dk/ and the section at www.compute.dtu.dk/sections/cogsys.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU - Moving to Denmark.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

DTU Compute - Department of Applied Mathematics and Computer Science - is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance.

DTU - For the benefit of society since 1829 - is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.

Location

Kgs. Lyngby, Denmark

Apply Before

2026-10-01T21:59:00+00:00