Summary
Linköping University is seeking a motivated PhD student to conduct pioneering research in AI-assisted software engineering, focusing on waste reduction in software development for cyber-physical systems. This opportunity allows candidates to contribute to innovative practices in AI and DevOps.
PhD Student in AI-Assisted Software Engineering, Linköping University, Sweden
Designation
PhD Student in AI-Assisted Software Engineering
Research Area
- AI-Assisted Software Engineering
- Cyber-Physical Systems (CPS)
- Software Development Waste (SDW) Detection and Reduction
Location
Linköping University, Sweden (with regular research visits to Lund University)
Eligibility/Qualification
- Master’s degree in Computer Science, Software Engineering, or Artificial Intelligence (minimum 240 credits, including at least 60 in advanced courses).
- Strong programming skills.
- Excellent oral and written communication in English; Swedish is a merit.
- Publications in international journals/conferences are advantageous.
Job Description
- Conduct research on detecting and reducing SDW in AI-assisted DevOps of complex software-intensive CPS.
- Develop novel techniques for waste detection and reduction, evaluate them on open benchmarks, and apply findings in an industrial context.
- Engage with research colleagues and potentially take on teaching responsibilities, up to 20% of time.
How to Apply
To apply, please click the “Apply” button on the Linköping University job page. Ensure your application reaches Linköping University by submitting necessary documents as requested.
Last Date to Apply
June 1, 2026
This scholarship presents a unique opportunity for aspiring researchers to be at the forefront of software engineering innovations. We encourage applicants from diverse backgrounds and experiences to apply.
