Postdoctoral position in Machine Learning for temporal data

Are you interested in developing models and methods within machine learning with temporal data, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a postdoctoral research position at Uppsala University.

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University's third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security. The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, University of British Columbia, University of Sydney, University of Newcastle and Aalto University.

The position is a part of the Beijer Laboratory for Artificial Intelligence Research, funded by Kjell and Märta Beijer Foundation. The Beijer Laboratory for Artificial Intelligence Research was established in 2023 at Uppsala University with an ambition to grow activities within the subject of AI.

Duties
The combination of probabilistic models and deep learning remains highly interesting. In this project we will develop and explore models of this kind for dynamic phenomena with the use of temporal data. These dynamical models are essential in explaining and understanding the world around us since many phenomena evolve over time. When it comes to modeling nonlinear dynamics, flexible models have the potential to significantly enhance performance over simple ones. Related to this is the task of deriving algorithms that can be used to learn the unknown model parameters from the measured data. In this project, the successful candidate will conduct basic research and methods development, but if there is interest also engage in some of the collaborations we have within medicine or biodiversity via our established collaborators in cardiology, neuro surgery and biology. Technical keywords for the position include: probabilistic models, deep learning, nonlinear dynamical/temporal models and Bayesian inference.

The position might also include teaching up to 20%. Ability to teach in Swedish or English is required.

Requirements
To qualify for an employment as a postdoctoral fellow you must have a PhD degree or a foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer vision, computational statistics or another nearby and relevant field. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labor unions, etc.

The applicant must have a strong background in method development and the use of machine learning. The ability to make use of deep learning is required. Good working knowledge in programming (preferably in Python). Publications at leading conferences and journals in machine learning is a strong plus. Good knowledge of English in speech and writing is a requirement.

Experience of interdisciplinary research is valuable. As a person, you are creative, thorough and have a structured approach. When selecting among the applicants we will assess their ability to independently drive their work forward, to collaborate with others, to have a professional approach and to analyze and work with complex problems. Great emphasis will be placed on personal characteristics and personal suitability.

Application
The application must contain:

1. A cover letter (max 2 pages), in English, briefly describing your motivation for applying for this position and the earliest possible employment date. The cover letter should include the heading Suitability for this position, containing a self-assessment on why you would be the right candidate for this position;
2. A curriculum vitae (CV).
3. Transcript of PhD degree, including courses taken during PhD studies.
4. A list of publications.
5. A research statement describing your past and current research (max 1 page) and a proposal for future activities (max 1 page).
6. Two references with contact information (names, emails and telephone number) and up to two letters of recommendation. 

About the employment
The employment is a temporary position of 2 years according to central collective agreement. Full time position. Starting date1 September 2025 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Professor Thomas Schön, e-mail: thomas.schon@it.uu.se.

Please submit your application by 28 March 2025, UFV-PA 2025/439.

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