Join us in advancing research and education in Intelligent Systems. We are recruiting several Senior Lecturers in Computer Science specializing in Intelligent Systems.
Join a growing research and education environment where you will contribute to developments in Artificial Intelligence, machine learning, distributed systems, computer engineering, computer security and embedded eystems.
Research in Computer Science at Kristianstad University is conducted within the Research Environment of Computer Science (RECS), an expanding research environment focused on Intelligent Connected Systems. Research areas include Artificial Intelligence and Machine Learning, the Internet of Things, Cyber-Physical Systems, Embedded Systems, Distributed Systems, and Cybersecurity. RECS promotes interdisciplinary collaboration and addresses future societal and technological challenges through national and international partnerships. https://www.hkr.se/en/research/research-environment-of-computer-science/
The Department of Computer Science comprises approximately 30 staff members and offers education at bachelor’s, engineering, and advanced levels, including programmes in Software Development, Computer Science, Computer Engineering, and Machine Learning.
You will be part of the Faculty of Natural Science. Read more about
faculty’s research https://www.hkr.se/forskning/forskning-amnesvis/
Research of Computer Science Computer Science, see: https://www.hkr.se/en/research/computer-science-research/
Education https://www.hkr.se/en/about/organisation/faculty-of-natural-science/computer-science--education-and-research/
Responsibilities
As a Senior Lecturer in Computer Science, you will play an important role in advancing and assuring the quality of our educational and research activities. Through your expertise and experience, you will actively contribute to our core areas of operation and help strengthen and further develop our research environment.
The position includes conducting independent research within the Research Environment of Computer Science (RECS) and actively contributing to its continued development through scientific publications, national and international collaborations, and applications for external research funding. You are expected to strengthen the research foundation of our educational programmes and contribute to the development of future educational initiatives within the areas of Artificial Intelligence and Intelligent Systems.
The duties include teaching, supervision, and examination at both undergraduate and advanced levels. You will contribute to the development, planning, and delivery of courses in Computer Science and Computer Engineering. Supervision of degree projects is also included, as is collaboration with industry and the wider community, particularly in relation to research and innovation. Administrative duties form a natural part of the position.
Qualifications
A candidate who is qualified to be senior lecturer has displayed pedagogical proficiency and has a doctorate in Computer Science, Computer Engineering or another field relevant to the position or equivalent scholarly competence or other professional proficiency that is relevant to the position’s subject matter and the tasks that the position involves (HF chapter 4, section 4). You must have both scientific and pedagogical competence in Computer Science, Computer Engineering, or a closely related discipline.
You have excellent oral and written communication skills in English.
It is meritorious if you have:
Proficiency in Swedish. If you are not proficient in Swedish, you will be expected to actively develop your ability to teach and communicate in Swedish within a reasonable period after your appointment.
You are expected to have completed higher education teaching and learning training equivalent to 15 ECTS credits. Candidates who do not yet meet this requirement may complete the training within the first two years of employment.
Postdoctoral experience, the Swedish qualification of docent (associate professor) or equivalent international academic qualifications
Experience in collaboration and engagement with industry, the public sector, or the wider community
Pedagogical qualifications and experience in educational development
Experience of teaching in both Swedish and English
Particularly meritorious is research within: Artificial Intelligence, Machine Learning, Data Analytics, Intelligent Connected Systems, Internet of Things (IoT), Cyber-Physical Systems, Cybersecurity, Embedded Systems, Computer Engineering, Real-Time Systems, Edge Computing, Distributed Systems or Autonomous Systems.
We are looking for a professionally mature and self-driven individual with strong collaboration skills. You work effectively with others in a responsive, respectful, and flexible manner, while also demonstrating independence and initiative. The ideal candidate is goal- and results-oriented, skilled at building and maintaining positive relationships, and possesses strong pedagogical insight with the ability to adapt communication and support learning processes. You take a holistic perspective, work in a structured manner, and maintain a strong commitment to quality in all aspects of your work.
Other Information
The position is a full-time, permanent appointment starting by agreement. We normally apply a probationary period of employment. The workplace is located in Kristianstad on our beautiful campus, which offers good bus connections and parking facilities. Some teaching may be scheduled during evenings or weekends, and may also take place at locations other than Kristianstad.
Application
You are welcome to submit your application below, together with a cover letter, CV, dissertation, and a link to publications or attached publications. The application must be prepared in accordance with the university’s Guidelines for Applications in the Recruitment and Promotion of Academic Staff. You can find the link to the guidelines at www.hkr.se/jobb.
The application deadline is 2026-08-17.
If you have questions about how to submit your application, please contact the system support at +46 (0)520-58 00 50 or via the support window.