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Postdoctoral Tjänst in machine learning with a focus on deep learning for ECG data at Uppsala University

Tjänst Postdoctoral Tjänst in machine learning with a focus on deep learning for ECG data
Publicerad 15 Jun 2026
Utgången 15 Jul 2026
Företag Uppsala University
Plats Uppsala län | SE
Anställningsform Full Time

Jobbbeskrivning:

Senaste jobbinformationen från Uppsala University för tjänsten som Postdoctoral Tjänst in machine learning with a focus on deep learning for ECG data. If the Postdoctoral Tjänst in machine learning with a focus on deep learning for ECG data lediga tjänsten i Uppsala län matchar dina kvalifikationer, vänligen skicka din senaste ansökan eller CV direkt via den uppdaterade Jobkos-portalen.

Observera att det inte alltid är enkelt att söka jobb, eftersom kandidater måste uppfylla vissa krav från företaget. Vi hoppas att karriärmöjligheten hos Uppsala University för tjänsten som Postdoctoral Tjänst in machine learning with a focus on deep learning for ECG data nedan matchar din profil.

Are you interested in working with state-of-the-art machine learning methods 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 Tjänst at Uppsala University.

Uppsala University has a long tradition of successful research – among its alumni are 16 Nobel Prize laureates, including, most recently, Svante Pääbo. The University is unique when it comes to combining IT with wider research, from life sciences to the humanities.

The Department of Information Technology holds a leading Tjänst 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 Om oss 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.

We have a wide network of long-standing international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College London, University of Sydney, University of Newcastle and Aalto University.

Duties

Research on fundamental models and methods in machine learning and their applications in medicine. We will continue our work on extracting knowledge from large-scale ECG datasets and possibly also related data. The aim is to be able to investigate the use of these models for decision support and the Tjänst may also include work on decision algorithms. The postdoctoral researcher will collaborate with our colleagues at the Faculty of Medicine here in Uppsala and likely also with our partners in Brasilien.

Technical keywords for the Tjänst include probabilistic models, deep learning, decision algorithms, Bayesian inference and precision medicine.

The Tjänst may include teaching up to 20% depending on availability and interest.

Requirements

PhD degree in machine learning, control, signal processing, computational statistics or another nearby relevant area or a foreign degree equivalent to a PhD degree in machine learning, control, signal processing or computational statistics. The degree needs to be obtained by the time of the decision of employment. Priority will be given to applicants who have completed their degree no more than three years before the deadline for applications. 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 labour unions, etc.

  • a strong interest in and experience in developing new methods in machine learning
  • ability to use deep learning on large datasets
  • ability to communicate technical material effectively in oral and written form (English)
  • good working knowledge of programming (preferably in Python)
  • personal qualities, such as a high level of creativity, accuracy and/or a structured approach to problem solving are essential

Publications at leading conferences in machine learning is a big plus. You are expected to be able to teach in Swedish or English.

Experience in interdisciplinary research is a plus. As a person, you are creative, meticulous and have a structured approach. When selecting 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 importance will be placed on personal qualities and personal suitability.

Application requirements
  • List of publications
  • Description of your current and previous research (max. 1 page) and proposals for future research (max. 1 page)
  • Contact information for two references
About the employment

The employment is a temporary Tjänst of 2 years according to central collective agreement. Full time Tjänst. Starting date October 1, 2026 or as agreed. Placement: Uppsala.

Contact information

For further information about the Tjänst, please contact: Professor Thomas Schön, 018 - 471 25 94,

In this recruitment we have replaced the cover letter with questions that you are asked to answer when making your application. The answers will be used as a part of the selection process.

Please submit your application by August 28, 2026, UFV-PA 2026/2006.

Are you considering moving to Sverige to work at Uppsala University? Find out more about what it's like to work and live in Sverige.

Uppsala University is a broad research university with a strong international Tjänst. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sverige’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsla University

The Tjänst may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment.

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University's recruitment system.

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Om tjänsten:

  • Företag: Uppsala University
  • Tjänst: Postdoctoral Tjänst in machine learning with a focus on deep learning for ECG data
  • Arbetsplats: Uppsala län
  • Land: SE

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