Associate Professor position in Machine Learning (ML) within the ML team at the Department of Computer Science and Electrical and Space Engineering at Luleå University of Technology. The ML team, led by Professor Marcus Liwicki, is one of WASP’s new affiliated groups of excellence at LTU.

About the ML team

The Machine Learning (ML) subject at the department of Computer Science and Electrical and Space Engineering at Luleå University of Technology, is now looking for excellent researchers contributing to our growing activities. The ML team is conducting fundamental research in all the aspects of machine learning for the welfare of the society with a specific focus on sustainable machine learning for innovative industry and infrastructure.

To strengthen our team on Machine Learning, we recruit excellent researchers working in one or more of the following areas:

  • Sustainable Machine Learning, e.g., resource efficient methods, specific hardware (neuromorphic computing quantum computing)
  • AI on topologically complex or distributed systems (distributed ML, graph NN)
  • Systems of Systems AI
  • Physics informed machine learning


Associate professors must be involved in education, educational development and research at the University. Associate professors must also keep abreast of the international development of the subject and supervise doctoral students. Associate professors are expected to contribute to the University’s development, to work for obtaining external funding to the subject and to be available for managerial and administrative tasks.

The duties of associate professors also include managing research projects, communicating the outcomes via academic publications and being active in the research community within their own subject.

Furthermore, the associate professor is expected to collaborate with industry and society and to contribute to the activities of the WASP program and its national activities. The associate professor will be given opportunity to develop their independence as researcher and gain accreditation that may allow them to take other teaching positions with higher eligibility requirements (see Chapter 4, Section 12 a of the Higher Education Ordinance). Following application, the assistant professor can apply for promotion to professor in accordance with Chapter 4, Section 12 c of the Higher Education Ordinance.

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