The project will explore how psychologically-informed features can be used to model users, items, infer user characteristics from digital traces, infer item characteristics, provide explanations and recommendations in the music and film domains. The methodologies will include user studies and machine learning. The selected candidate will work in a great team with Marko Tkalčič as part of the HICUP Lab in the beautiful Mediterranean city of Koper.

DETAILS

• Full-time employment (40 hrs/week). Full social security.
• The position is for two years.
• The preferred starting date is October 2024 (negotiable).
• The candidates must have (or expect to obtain shortly) a PhD in computer science or in an area relevant to the research topics.
• The ideal candidate should posses expertise in the following areas:
  - recommender systems,
  - machine learning,
  - user modeling.
• Expertise in one or more of the following areas will be appreciated
  - ML explainability,       
  - computational psychology,
  - computational social science,
  - media-related knowledge (musicology etc.).
• The position includes a small teaching load (1 course/semester, 3-4 hrs/week).
• The position comes with funding for travel (conferences, visitors).

APPLICATION PROCESS

The applications will be assessed on a rolling basis until the position is filled. To apply, send an email to marko.tkalcic@famnit.upr.si with the following documentation:

• motivational letter,
• CV,
• list of publications,
• research statement,
• names and email addresses of two to three references.