Professor in Probabilistic Machine Learning for Science – DTU Compute

Kgs. Lyngby - Denmark

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

Are you an established researcher in probabilistic machine learning with a passion for developing robust trustworthy and explainable AI methods for applications in science and engineering

Then this professor position might be for you.

We are looking for a new professor to lead research in probabilistic machine learning with a focus on areas such as deep generative models Bayesian methods and uncertainty-calibrated AI. These approaches are crucial for realizing the potential of machine learning in fields like physics chemistry and bioinformaticswhere practical and reliable methods are needed to drive digitalization forward.

The professor will play a key role in strengthening DTU Computes activities in probabilistic machine learning and will help build a strong research community around applied AI. The position involves leading innovative research engaging in collaboration with academic and industrial partners and ensuring high-quality teaching and supervision at all levels.

Responsibilities and qualifications
You are expected to be part of defining the teaching within the core areas of DTU Compute including courses on probabilistic machine learning and its engineering applications at the BEng BSc MSc and PhD addition there will be an obligation in continuous education on advanced machine learning methods and AI.

The Section for Cognitive Systems has a strong interest and expertise in probabilistic machine learning covering both theoretical foundations and engineering applications. We expect you to be motivated by and have experience with advancing the field through methodological research with a strong track record of publishing in leading machine learning venues (e.g. NeurIPS ICML ICLR AISTATS). You should also be enthusiastic about and have track record of applying machine learning methods to scientific challenges in areas such as bioinformatics physics or chemistry. You will collaborate closely with skilled colleagues across areas such as computational modelling molecular and materials science bioinformatics and related applied research creating opportunities for interdisciplinary innovation and impact.

In addition to research excellence we expect active engagement in the international machine learning community. Experience with conference organisation (e.g. chair roles) or other forms of scientific service at leading ML venues is considered an important qualification.

Securing research funding is essential for maintaining an international leadership position. As a researcher at the interface of probabilistic machine learning and technical sciences at DTU you will have excellent opportunities to attract funding. We expect you to have experience in attracting funding for your research with a strong understanding of its societal and scientific impact.

DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages and in time are expected to master both.

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

Documented experience and quality of teaching and curriculum development
Research impact and experience funding track record and research vision
International impact and experience
Societal impact
Innovativeness including commercialization and collaboration with industry
Leadership collaboration and interdisciplinary skills
Communication skills

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

Further information
Further information may be obtained fromthe Head of Section Professor Lars Kai Hansen or Head of Department Professor Jan Madsen mobile:.

You can read more about DTU Compute at .

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

Application procedure
Your complete online application must be submitted no later than 15 April 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply please open the link Apply now fill out the online application form and attach all your materials in English in one PDF file. The file must include:

Application (cover letter) addressed to the President
Vision for teaching and research
CV including employment history list of publications indicating scientific highlights H-index and ORCID (see portfolioincluding documentation of teaching experience
Academic Diplomas (MSc/PhD)

You can learn more about the recruitment processhere.

Applications received after the deadline will not be considered.

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
The Section for Cognitive Systems is part of the Department of Applied Mathematics and Computer Science (DTU Compute) an internationally recognised academic environment with more than 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 chip design cybersecurity human-computer interaction social networks fairness and data ethics. Our research is rooted in fundamental science 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 DTUs 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.

Technology for people
DTU develops technology for people. With our international elite research and study programmes we are helping to create a better world and to solve the global challenges formulated in the UNs 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13500 students and 6000 employees. We work in an international atmosphere and have an inclusive evolving and informal working environment. DTU has campuses in all parts of Denmark and in Greenland and we collaborate with the best universities around the world.

Required Experience:

DescriptionAre you an established researcher in probabilistic machine learning with a passion for developing robust trustworthy and explainable AI methods for applications in science and engineering Then this professor position might be for you. We are looking for a new professor to lead research ...