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Karlstad University

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PhD in Computer Science: AI and Cybersecurity at Karlstad University Karlstad University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 31, 2026

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Country

Sweden

University

Karlstad University

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Keywords

Computer Science
Information Technology
Artificial Intelligence
Cybersecurity
Optimisation
Large Language Models
Machine learning

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About this position

Karlstad University is recruiting a doctoral student in Computer Science for the SPLAIM project, Security and Privacy of Locally-Run AI Models. The position is based at the Department of Mathematics and Computer Science, within the Privacy and Security (PriSec) research group, and focuses on the technical development of secure, private, and efficient local AI systems.

The research topic is highly relevant to current work in artificial intelligence, cybersecurity, privacy-preserving systems, and large language models (LLMs). The project investigates how local LLMs can be deployed in real-world organisational and business environments while maintaining security, privacy, and performance under resource constraints. The doctoral work may include parameter-efficient fine-tuning, retrieval-augmented generation (RAG), hardware-aware optimisation, benchmarking, model compression, and evaluation of local AI solutions.

The role is research-intensive and includes the full doctoral process: requirement analysis, technical design, prototyping, experimentation, and evaluation. The work will be carried out in collaboration with industrial partners and grounded in realistic use cases, making it a strong fit for applicants interested in applied AI research with societal and organisational impact.

Eligibility: applicants must meet the general doctoral entry requirements and the specific requirements for third-cycle studies in Computer Science. A Master’s degree in Computer Science or Computer Engineering, or equivalent qualifications, is required. The university gives special weight to experience in AI/ML, generative AI, secure systems, privacy, and local LLM deployment methods. Strong English communication skills are expected; Swedish is an advantage.

Funding: this is a paid doctoral studentship with salary according to the standard doctoral salary level and a local collective agreement. The appointment is full-time for four years of research, with possible extension if teaching or other duties are added.

Application deadline: 2026-07-31. Apply via the university’s Varbi recruitment portal and submit a complete application including cover letter, CV, degree certificates and transcripts, thesis, publications/certificates, recommendation letters, and two references. Non-English/Scandinavian documents should be translated and uploaded with the application.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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