About the position
You join the Division for Secure and Networked Systems in Lund University's Department of Electrical and Information Technology, which works on cryptography, computer security and networks. The post belongs to RESIST, a research centre funded by the Swedish Foundation for Strategic Research that develops ways to protect future AI-based systems. Linköping University leads the centre, with Lund University, Örebro University and the research institute RISE as partners.
Code written by AI often contains serious security flaws, so before it can be used in high-security systems, the way it is generated has to become far more robust. You will study how AI models can analyse software and correct it so that it is free of vulnerabilities, working between cybersecurity and software engineering.
What you will do
- Evaluate existing code-analysis techniques from a security point of view.
- Develop principles for analysing and correcting code automatically, mainly through case studies and experiments.
- Take doctoral courses, seminars and conferences, and spend up to 20% of your time teaching or on department work.
Who can apply
- A master's degree, or at least 240 credits of university study including 60 at master's level, or equivalent knowledge gained in Sweden or abroad.
- At least 60 master's-level credits relevant to electrical engineering, or an MSc in engineering in a field such as computer science, electrical engineering, engineering physics, engineering mathematics or information and communication engineering.
- Very good software development skills, and experience with complex computer and communication systems.
- Very good spoken and written English.
- An advantage: courses or a master's thesis in computer security, documented software engineering or AI skills, teaching experience, or industry experience.
What is offered
- Full-time, fixed-term employment as a doctoral student: four years of study, extended to match any teaching or department work.
- A monthly salary as a university employee.
- Start as soon as agreed, and by 1 May 2027 at the latest.
How to apply
- Apply in English through the university's online application system, linked below.
- Send a CV and a cover letter explaining why you want this PhD and how the project fits your interests and studies.
- Add copies of your degree certificates and transcripts showing you meet the entry requirements.
- Add anything else you want considered, such as reference contacts or recommendation letters.