Asthma care faces major challenges in measuring and predicting asthma deteriorations. Without robust and scalable individual-level prediction models, healthcare systems struggle to address health inequalities, advance research, and improve outcomes for all patients. In short, it is difficult to manage or support what we cannot measure.
The research group led by Björn Nordlund at the Department of Women's and Children's Health is seeking a candidate interested in developing and validating prediction models for digital asthma care during the autumn of 2026.
The overall goal of this research is to integrate individual-level prediction models for asthma to improve digital asthma care. Machine learning models integrated into digital self-management systems may predict and prevent asthma deteriorations more effectively than traditional care approaches.
You will develop prediction models that forecast declines in lung function based on longitudinal patient-generated data. You will also have the opportunity to actively participate in an international collaborative research project involving Karolinska Institutet (Sweden), KTH Royal Institute of Technology (Sweden), and the Mayo Clinic (USA).
To be eligible for this employment as a Research assistant, you must hold a Master’s degree in Mathematics with a specialization in machine learning. This eligibility requirement must be fulfilled no later than the date on which the employment decision is made.
Previous experience in digital asthma care is considered a merit.
A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.
Location: Solna
The B. Nordlund research group is a clinically oriented team that combines clinical epidemiological research with digital innovation and machine learning. The goal is for the research to play a key role in bridging scientific findings and technology with clinical implementation, ultimately improving healthcare—particularly in the fields of asthma and allergy.
Link to the research group’s webpage at the Department of Women’s and Children’s Health (KBH): PANDA
KI applies individual and differentiated salary setting in accordance with our collective agreements RALS and RALS-T.
The application is to be submitted through the Varbi recruitment system. An employment application must contain the following documents in English or Swedish:
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A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
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A complete list of publications
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A summary of current work (no more than one page)
Welcome to apply at the latest 30th of June 2026.
Anställningsform: särskild visstidsanställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100% | Ort: Stockholm | Län: Stockholms län | Land: Sweden | Referensnummer: STÖD 2-2594/2026 | Kontakt: Björn Nordlund , Björn Nordlund , Karin Björström , Karin Björström , | Facklig företrädare: Bodil Moberg , OFR/ST 08-52483601, Bodil Moberg , OFR/ST 08-52483601, Elizabeth Valenzuela, SEKO 08-52486363, Elizabeth Valenzuela, SEKO 08-52486363, John Inge Johnsen , SACO , John Inge Johnsen , SACO , | Publicerat: 2026-06-09 | Sista ansökningsdag: 2026-06-30
