Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.
Description of the workplace
The assistant professor will be working at the Department of Computer Science, where research on the engineering of large-scale software-intensive systems is conducted in the Software Engineering Research Group (SERG)which is headed by Professor Per Runeson. SERG is a world leader on empirical software engineering, where empirical studies, like experiments, case studies and surveys are conducted to understand real-world problems, design and evaluate solutions for such problems, mostly within the design science paradigm. In addition to conventional software, the scope includes ML and AI enabled systems, and thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI. Socio-technical aspects are embraced, both in developer and user stakeholder perspectives.
The empirical research catalyzes industry-academia collaboration and cross-dsicplinary initiatives. Consequently, SERG is active in research centers with a multitude of academic, industrial and public collaboration partners. The faculty of engineering’s profile area AI and Digitalisation and the univeristy’s profile area Natural and Artificial Cognition are wide open for cross disciplinary endevours. Research excellence and relevance go hand in hand, rendering top quality publications and evidence-based recommendations for practitioners.
Subject
Computer Science with focus on Large-Scale AI/ML Engineering
Subject description
The position focuses on empirical studies and design of solutions for the engineering of large-scale industrial and societal systems, embedding ML components and capabilities including requirements, design, and quality assurance, i.e. MLOps (Machine Learning Operations), AI Engineering or SE4AI (Software Engineering for Artificial Intelligence). With increasing adoption of ML-based functionality, challenges arise for such systems regarding, for example, data collection and cleaning, privacy preservation, decision transparency, model evolution over time, and adherence to legal and ethical frameworks. Topics of interest for the subject include methods, tools and technology addressing the above challenges to support engineering and operations of large-scale software systems with ML components.
Work duties
Employment as an assistant professor is a tenure track position, which aims for the holder to develop their independence as a researcher and educator. The work duties mainly involve research and teaching. The position includes the opportunity to undertake five weeks of training in teaching and learning in higher education.
Work duties include:
Qualification requirements
Qualification requirements for employment as an assistant professor are fulfilled by someone who has been awarded a doctorate or has the corresponding research competence.
Primary consideration should be given to someone who has been awarded a doctorate or achieved the equivalent competence within seven years of the deadline for application for employment as an assistant professor. However, someone who has been awarded a doctorate or achieved the equivalent expertise at an earlier date may also be considered if there are special grounds. Special grounds are sick leave, parental leave or other similar circumstances.
Assessment criteria
For appointment to assistant professor, the following shall form the assessment criteria:
Additional requirements
Other qualifications
The extent to which the applicant, through their experience and skills, may complement and strengthen ongoing research, undergraduate education, departmental innovation, and how they can contribute to the future development of the department will also be taken into consideration.
Terms of employment
This is a full-time, fixed-term employment of 6 years. The employment is regulated in accordance with Chapter 4 Section 12a§ HEA. The purpose of the appointment is for the teacher to be given the opportunity to develop research autonomy and acquire the scholarly and teaching qualifications required for eligibility for appointment as a senior lecturer.
We offer
Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. Read more on the University website about being a Lund University employee: https://www.lunduniversity.lu.se/about-university/work-lund-university.
Instructions on how to apply
Applications shall be written in English. Please draw up the application in accordance with LTH’s Academic qualifications portfolio – see link below. Upload the application as PDF-files in the recruitment system. Read more:
http://www.lth.se/english/working-at-lth/to-apply-for-academic-positions-at-lth/
*****************************************************************
Promotion to Senior Lecturer in Computer Science with focus on Large-Scale AI/ML Engineering
During the period of employment, an assistant professor can apply for promotion to a permanent position as Senior Lecturer if he or she has the required qualifications listed below, and is deemed suitable. An assistant professor can only apply for promotion once.
Qualification requirements
Appointment to senior lecturer requires that the applicant has:
Assessment criteria
The assessment criteria specify the aspects to be considered, and the level to be achieved, for the assessment criteria to be deemed fulfilled. The following assessment criteria must be fulfilled for appointment to senior lecturer:
Additional requirements
Demonstrated ability to actively seek external research funding.
Type of employment | Temporary position |
---|---|
Contract type | Full time |
First day of employment | As soon as possible |
Salary | Monthly |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Lund |
County | Skåne län |
Country | Sweden |
Reference number | PA2025/542 |
Contact |
|
Union representative |
|
Published | 04.Apr.2025 |
Last application date | 30.May.2025 11:59 PM CEST |