This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.

Our Research

We are a translational group with a strong cross-disciplinary collaboration between breast radiology at Karolinska Institutet (KI) and computer science at the Royal School of Engineering (KTH) and SciLifeLab. The members at KTH are mainly responsible for the development of algorithms, and the members at KI are mainly responsible for directing the initial data curation and the later evaluation of algorithm performance. In addition, we are exploring aspects of AI governance, including setting up a national platform for retrospective validation of AI algorithms in mammography screening and to develop early-warning methods to detect when the AI predictions might no longer be trustworthy.

We now seek to strengthen our internationally leading clinical research group at KI with a postdoctoral researcher within the field of biostatistics applied to clinical studies of AI in breast cancer imaging.

Your mission

Your research will consist of mainly two different topics. The first topic concerns the development and evaluation of in-house AI algorithms. One of your responsibilities will be to contribute with statistical competence in the development process of AI algorithms, helping the computer scientists with appropriate evaluation methods and with study design. You will also take responsibility for the retrospective evaluation of the developed algorithms in our data and in data from international collaborators. The second topic concerns the real-world follow-up of the performance and trustworthiness of AI algorithms in general, both in-house and commercial ones. You would evaluate different approaches to detect when a “black-box” AI algorithm may no longer be trustworthy, such as detecting distributional shifts. You might also explore the use of 3D-printed phantoms as reference standards for daily quality control of installed AI algorithms.

More Information and Application

View all positions
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners. View more
Cookies settings
Privacy & Cookie policy
Privacy & Cookies policy
Cookie name Active
The WASP website uses cookies. Cookies are small text files that are stored on a visitor’s computer and can be used to follow the visitor’s actions on the website. There are two types of cookie:
  • permanent cookies, which remain on a visitor’s computer for a certain, pre-determined duration,
  • session cookies, which are stored temporarily in the computer memory during the period under which a visitor views the website. Session cookies disappear when the visitor closes the web browser.
Permanent cookies are used to store any personal settings that are used. If you do not want cookies to be used, you can switch them off in the security settings of the web browser. It is also possible to set the security of the web browser such that the computer asks you each time a website wants to store a cookie on your computer. The web browser can also delete previously stored cookies: the help function for the web browser contains more information about this. The Swedish Post and Telecom Authority is the supervisory authority in this field. It provides further information about cookies on its website,
Save settings
Cookies settings