Assistant researchers

The University of Gothenburg meets society's challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring workplace. Strong research and attractive education attracts researchers and students from all over the world. With new knowledge and new perspectives, the University of Gothenburg contributes to a better future.

At the Department of Medicine, the Department of Internal Medicine and Clinical Nutrition, research is conducted in several areas, such as endocrineology, haematology, gastroenterology, hypertension, lung medicine and allergology, and clinical nutrition with research focus on body composition and energy metabolism. The research is carried out in close cooperation with the healthcare services at both Sahlgrenska University Hospital and Mölndal Hospital.

Sleep is vital to our health and well-being. During sleep the body recovers, the brain processes information and memories are consolidated. Sleep disorders such as sleep apnea and insomnia can seriously affect the quality of life and lead to long-term health problems such as cardiovascular diseases and diabetes. Therefore, sleep research is important for understanding the mechanisms behind sleep and developing effective treatments for sleep disorders, which can improve both the health of individuals and society's productivity.

The Centre for Sleep Research at the Sahlgrenska Academy has been conducting translational research in the field for several decades and is looking for a biosignal engineer for advanced analysis of sleep, respiratory and cardiovascular biosignals. The group is interprofessional and works with epidemiological, mechanistic, diagnostic and therapeutic studies on clinically significant sleep and waking disorders such as sleep apnea and insomnia.

Tasks

As an assistant researcher, you will work on analysing and quantifying long-term measurements of respiratory, cardiovascular and neurophysiological biosignals from sleep measurements. You will use new methods of analysis in the form of machine learning and artificial intelligence for improved endotyping and phenotyping of the respiratory and cardiovascular system during various sleep stages. Advanced statistical models will be used to link these phenotypic properties to clinical outcomes in patients with sleep disorders.

Qualifications 

Master's degree in mathematics or biosignal analysis, or other equivalent degree, is a requirement. The applicant must also have good knowledge of English in speech and writing. Meritative is the experience of biosignal analysis, especially analysis of sleep parameters such as respiratory, cardiovascular and neurophysiological signals. Also knowledge of R, Python or MATLAB, experience of statistical analysis, knowledge of medicine and scientific publications are meritorious. We attach great importance to personal fitness. The applicant is expected to be structured and quality conscious in his/her work as well as flexible and initiative-rich, with good analytical and problem-solving capabilities. The ability to collaborate well with other researchers and clinics within a larger multidisciplinary team is important.

Employment 

Form of employment: Temporary employment, 6 months

Scope: 100 %

Location: Department of Medicine, Gothenburg

Access: As soon as possible or as agreed  

Contact details of the employment 

Ludger Grote

Professor

ludger.grote@lungall.gu.se

Madeleine Rådinger

Deputy Head of Department

madeleine.radinger@lungall.gu.se

Trade unions 

Trade union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande  

Application 

Attach a copy of the Master's degree and CV

You apply for the position via the University of Gothenburg's recruitment portal by registering your application electronically via the website: https://www.gu.se/om-universitetet/jobba-hos-oss/lediga-anstallningar. As an applicant, you are responsible for ensuring that the application is complete in accordance with the advertisement and that it is received by the university no later than the last application date.

The application must be submitted by: 2026-10-19

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