Join my group:

I recently joined Uppsala University as Assistant Professor and I am expanding my group. We work on machine learning, signal processing and automatic control. Developing basic theory and creating new applications in medicine.

PhD student in Automatic Control focusing on robust statistical learning and system identification.
Project: the selected candidate will join us in conducting research in automatic control and statistical learning, developing data-driven methods to learn large-scale signals and systems from data. There will be a strong focus on developing robust methods with mathematical guarantees, focusing on dynamical, statistical, and optimization properties with potential applications to medicine. The exact details of the research project are decided in a dialogue between the doctoral student and the supervisor.
Salary: Decided by collective agreement.
Fully funded position for 5 years.
Apply by: 09.Oct.2024.
Tentative start date (flexible): January 2025
Apply here


PhD student in Automatic Control focusing on signal processing and mathematical modeling for physiological signals
Project: the selected candidate will join us in conducting research on data-driven methods to develop mathematical models of physiological signals. There will be a strong focus on dealing with large patient cohorts and learning to extract information from collected biological data using novel methods from machine learning and system identification. The potential applications will be in cardiology. The exact details of the research project are decided in a dialogue between the doctoral student and the supervisor.
Salary: Decided by collective agreement.
Fully funded position for 5 years.
Apply by: 25.Oct.2024.
Tentative start date (flexible): February 2025
Apply here


Postdoctoral position in Automatic Control focusing on system identification and statistical learning.
Project: The selected candidate will join us in conducting research in statistical learning and system identification research, developing data-driven methods to learn signals and systems from data. There will be a focus on developing robust methods with mathematical guarantees, focusing on stability, statistical and optimization considerations. We will work in applications to cardiology and electrophysiology. The exact details of the research project are decided in a dialogue between the postdoctoral researcher and the supervisor.
Salary: Decided by the department according to experience. See salary statistics.
Fully funded position for 2 years.
Apply by: 14.Oct.2024.
Tentative start date (flexible): January 2025
Apply here


Previous students:

Ph.D. students

M.Sc. students

Updates from students

2023-06-14 🎓 Daniel Gedon successfully defended his PhD thesis. His thesis include publications on ICML, UAI, Scientific Reports and IEEE Signal Processing Letters. Next he is going to Tübingen University, Germany, as a PostDoc. (link)
2023-05-31 🎓 Arvid Eriksson successfully defended his MSc thesis. His master thesis generated a paper that will be presented in Computer in Cardiology 2024. He also got a position at KTH as a PhD Student. (link)
2022-06-29 🎓 Theogene Habineza successfully defended his MSc thesis. His master thesis generated a paper accepted for publication in Journal of Electrocadiography. (link) (link)