Vacant job

The research group Obstetric and Reproductive Health Research has the overarching goal of improving the health of women, mothers, and children through research. Our work spans youth health, reproduction, diagnosis and treatment of pregnancy- and postpartum-related conditions, menopause, and women's mental health.

The research group Physiotherapy and Behavioral Medicine conducts clinical and applied research on physical activity, movement, rehabilitation, and behavioral medicine interventions, with the aim of promoting health and well-being in various populations, including women during and after pregnancy, as well as young adults.

Read more about the research groups here: Obstetric and Reproductive Health Research (https://www.uu.se/institution/kvinnors-och-barns-halsa/forskning/enheten-obstetrik-och-gynekologi/obstetrisk-och-reproduktiv-halsoforskning), and Physiotherapy and Behavioral Medicine (#).

Do you want to contribute to promoting mental health in childbearing women and young people?

Extensive research on mental health in the perinatal period and among young adults is conducted within the research groups through large population-based studies such as Mom2B (www.mom2b.se (http://www.mom2b.se)) and UPIC (uu.se/forskning/upic (http://uu.se/forskning/upic)), as well as register-based projects. Our staff have access to unique data sources and established research environments of high international standard. We are now looking for a Research Assistant who can strengthen our work in data analysis of digital phenotyping.

Responsibilities

The work involves the analysis of digital phenotypic and survey data to study mental and physical health during young adulthood and the perinatal period. Key tasks include:

• Organizing and analyzing large-scale mobile sensor data, such as GPS, accelerometer, and screen log data, and linking it to survey data and register data.
• Processing and analyzing data.
• Developing and validating predictive machine learning models for mental and physical health.
• Interpreting and presenting analysis results to the research group.
• Actively contributing to the writing and revision of scientific manuscripts.
• Coordinating data analysis work within the research group.
• Assisting the research group leader in organizing meetings.

Qualifications

We are looking for you who have a master's degree in a relevant field, such as bioinformatics, neuroinformatics, or biomedical artificial intelligence. You should have documented experience using UPPMAX/BIANCA infrastructures, as well as developing and evaluating machine learning models, and very good knowledge of Python and R. Documented experience working with passive digital health data and mobile sensor data is required.

You must be able to work independently, handle complex analysis processes, and communicate effectively in a multidisciplinary research environment. Good scientific writing skills are necessary. Personal qualities such as flexibility, problem-solving ability, attention to detail, stress tolerance, and the ability to prioritize among several parallel tasks are important. You should also be interested in supporting and further developing the group's work.

Very good proficiency in English, both oral and written, is required.

Desirable/Qualifying

• Particular interest in and knowledge of neuroscience, psychiatry, women's health, or related research areas.
• Experience working within development or research projects.

About the position

The position is permanent (probationary period may apply), with a workload of 75%. Start date: ASAP or as agreed. Location: Uppsala.

Information about the position is provided by: Professor Alkistis Skalkidou, [email protected]

In this recruitment, the cover letter is replaced by questions that you answer in the recruitment system. The answers are used as part of the selection process.

Apply no later than June 22, 2026, Ref: UFV-PA 2026/1831.

Uppsala University is a broad research university with a strong international standing. 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 7,500 employees and 53,000 students who, with curiosity and engagement, make Uppsala University one of the country's most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University: https://uu.se/om-uu/jobba-hos-oss/ (https://uu.se/om-uu/jobba-hos-oss/)

The position may be subject to a security clearance. If a security clearance is required, it is a condition of employment that the applicant is approved.

We decline offers of assistance with recruitment and advertising.

Applications are received through Uppsala University's recruitment system.

Union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]