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Cybersecurity and Software Engineering● OpenOpen until filledPreview

Doctoral Researcher in Cybersecurity and Software Engineering

Join Lund University’s RESIST project to develop AI-driven techniques for securing distributed AI systems through automated program analysis and code correction.

Best for:Best for master’s graduates in computer science, electrical engineering, or related fields with strong software development skills and a passion for cybersecurity and AI-driven system protection.

Lund University · Lund, Sweden · R1 · First-stage researcher
More professors at Lund University
Automated program analysisAI-generated code securityDistributed AI system protectionSoftware vulnerability mitigationCode correction techniquesCybersecurity in AI systems
Deadline
Until filled
rolling
Funding
Salaried
Unknown (standard doctoral stipend at Lund University)
Start date
as soon as possible, no later than May 1, 2027
Full-time
Location
Lund
Sweden

Overview

This doctoral position at Lund University’s Division for Secure and Networked Systems focuses on advancing cybersecurity through software engineering. The successful candidate will contribute to the RESIST project, a multidisciplinary initiative led by Linköping University in collaboration with Örebro University and RISE. The research centres on automated principles for analysing and correcting program code to mitigate vulnerabilities in AI-generated software. The role involves conducting independent research, participating in teaching (up to 20% of time), and collaborating with industry and academic partners. The project is funded by the Swedish Foundation for Strategic Research (SSF) and offers a dynamic environment for developing expertise in secure software systems and AI resilience.

CybersecuritySoftware EngineeringAI SecurityProgram AnalysisDistributed SystemsCode CorrectionSecure Software DevelopmentThird-Cycle Studies

What you'll do

  • Conduct independent research on automated principles for analysing and correcting program code to ensure security in AI-generated software.
  • Develop and evaluate techniques for identifying vulnerabilities in distributed AI systems.
  • Participate in teaching and departmental activities, limited to a maximum of 20% of working hours.
  • Present research findings at seminars, conferences, and workshops.
  • Collaborate with partners from Linköping University, Örebro University, and RISE.
  • Develop leadership and pedagogical skills through active participation in research projects and academic events.

Requirements

Degree required: Master of Science (MSc) in Engineering in Computer Science, Electrical Engineering, Engineering Mathematics, Nanoengineering, Engineering Physics, Information and Communication Engineering, or a related field, or equivalent qualifications with at least 240 credits including 60 credits at the second-cycle level.

Degree offered: PhD

Language: Very good knowledge of English, both spoken and written (no specific test mentioned but implied proficiency)

Instruction: English

Required skills
  • Very good software development skills
  • Experience working with complex computer and communication systems
  • Strong ability to work independently and formulate research problems
  • Excellent written and oral communication skills in English
  • Ability to cooperate effectively in multidisciplinary teams
Nice to have
Completed courses or master thesis work in Computer SecurityDocumented software engineering and AI technology skillsTeaching and communication experienceIndustrial experience in relevant fields
Eligibility
  • General admission requirements for third-cycle courses (second-cycle qualification or equivalent)
  • Specific admission requirements for Electrical Engineering (60 second-cycle credits or relevant MSc degree)
  • No nationality or residency restrictions mentioned

Funding & terms

Type
Salaried
Amount
Unknown (standard doctoral stipend at Lund University)
Duration
4 years (extendable for teaching duties)
Programme
Swedish Foundation for Strategic Research (SSF)
Swedish Foundation for Strategic Research (SSF)

How to apply

Applications must be written in English and include a CV, a cover letter explaining your interest and fit for the project, copies of study certificates or degree certificates, and any additional documents such as transcripts or reference letters. Submit all documents through the university’s application portal.

Documents required
  • CV
  • Cover letter
  • Copies of issued study certificates or degree certificates
  • Transcripts showing subject knowledge and admission requirements
  • Additional documents (e.g., grade transcripts, reference letters)
↗Apply on site

Contact

First Last· Recruitment Contact

FL
Prof.
First Last (Lead Supervisor)
Department of Electrical and Information Technology
Lab
Division for Secure and Networked Systems
Lund University
Swedish Foundation for Strategic Research (SSF)Sweden
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