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Lund University

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PhD in Computer Science with focus on AI Engineering at Lund University Lund University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Fixed-term full-time doctoral employment at Lund University. The position is a doctoral studentship with monthly salary; third-cycle studies are planned for 4 years full time, extended if teaching or other departmental duties are included.

Deadline

Oct 8, 2026

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Country

Sweden

University

Lund University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Business
Software Engineering
Management
Statistics
ML

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About this position

Doctoral student in Computer Science with focus on AI engineering at Lund University, Department of Computer Science (LTH), Sweden.

The project sits in the Software Engineering unit and focuses on engineering of AI-enabled systems, especially machine learning, LLMs, MLOps, data-centric AI, and the legal/ethical aspects of AI. The research also examines trade-offs between general and specialized models, including performance, energy consumption, training data supply, privacy, secrecy, and ecosystem governance. The work is connected to the ELLIIT strategic research area and the NextG2Com industrial competence center, with opportunities for collaboration with academic and industrial partners.

This is a PhD opening (doctoral studentship), not a postdoc or masters position. The employment is full-time, fixed-term, with a monthly salary. The doctoral programme is planned for 4 years full time, with possible extension for teaching and departmental duties.

Eligibility highlights: a second-cycle qualification or equivalent; alternatively at least 240 credits with 60 second-cycle credits. For this specific subject, applicants need at least 60 relevant M.Sc.-level credits or an MSc in Engineering in Computer Science and Engineering, Electrical Engineering, Information and Communication Technology, Engineering Physics, or Engineering Mathematics. Strong English, software and AI engineering knowledge, machine learning knowledge, collaboration skills, and independent research ability are required. Industrial experience, software engineering experience, open-source contributions, and qualitative/design science research methods are advantageous.

How to apply: submit an English application with CV, cover letter, degree/study certificates, and any additional supporting documents. Deadline: 2026-10-08. Contact person: Per Runeson ([email protected]).

Funding details

Fixed-term full-time doctoral employment at Lund University. The position is a doctoral studentship with monthly salary; third-cycle studies are planned for 4 years full time, extended if teaching or other departmental duties are included.

What's required

Applicants must meet general third-cycle admission requirements: a second-cycle qualification, at least 240 credits with at least 60 second-cycle credits, or equivalent knowledge. Specific requirements are at least 60 M.Sc.-level credits relevant to the topic, or an MSc in Engineering in Computer Science and Engineering, Electrical Engineering, Information and Communication Technology, Engineering Physics, or Engineering Mathematics. Required are very good spoken and written English, good knowledge of software and AI engineering theory and practice, good knowledge of machine learning, ability to collaborate with industry partners, strong written and oral communication, good cooperation skills, and the ability to work independently and formulate and tackle research problems. Relevant industrial experience, software engineering experience, open-source contributions, and knowledge of qualitative or design science research methods are advantageous.

How to apply

Prepare an English application with a CV, a personally written cover letter explaining your interest and fit, copies of study certificates and degree certificates proving eligibility, and any other supporting documents such as transcripts, references, or recommendation letters. Submit via the university's application portal before the deadline.

More information can be found here

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