Kristianstad University
2 weeks ago
PhD Fellowship in Applied IT: LLM-Enabled Agentic Systems at Kristiania University of Applied Sciences Kristiania University of Applied Sciences in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
The position offers a salary of NOK 550,800 per year, with an additional equipment and travel allowance of NOK 50,000 per year. Health insurance, pension, and strong labor protections are included. The fellowship is fully funded for three years.
Deadline
Apr 13, 2026
Country
Norway
University
Kristianstad University

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About this position
PhD Fellowship in Applied IT: LLM-Enabled Agentic Systems is now open at Kristiania University of Applied Sciences, Oslo, Norway. This opportunity is based at the School of Economics, Innovation, and Technology, focusing on the software engineering foundations for LLM-enabled agentic systems. The research will cover architecture, assurance, and operations of AI agents, including design patterns, guardrails, testing methods, and configuration policies. The position is ideal for candidates interested in the intersection of artificial intelligence, large language models, and applied IT.
Research Areas: The fellowship centers on developing and assuring AI agents powered by large language models (LLMs). Key topics include software engineering for AI, agentic system design, machine learning frameworks (such as PyTorch, Transformers, LangChain, AutoGen), and empirical evaluation of agentic architectures. The work will contribute to advancing the reliability and effectiveness of LLM-enabled systems in real-world applications.
Eligibility: Applicants must have a master’s degree in IT, computer science, or software engineering. Required skills include strong software engineering abilities (clean architecture, testing, version control), proficiency in Python, and experience with ML/LLM frameworks. Additional experience with TypeScript, Java, MLOps, cloud computing, security, compliance, and empirical evaluation is desirable. Candidates should demonstrate English proficiency and strong interdisciplinary collaboration skills. Independence, systematic work habits, and curiosity are valued traits.
Funding and Benefits: The fellowship is fully funded for three years, offering a competitive salary of NOK 550,800 per year, plus an equipment and travel allowance of NOK 50,000 per year. Additional benefits include health insurance, pension, and robust labor protections. The earliest start date is September 1, 2026.
Application Process: Interested candidates should prepare a CV, motivation letter, master’s transcript and thesis, a project proposal (up to 4 pages or 2000 words), and at least two references. Applications must be submitted via the Kristiania University of Applied Sciences job portal by April 13, 2026. For further information, contact Ahmet Soylu (Dean, School of Doctoral Studies) or Asle Fagerstrøm (Head of Program/Professor) via the provided emails.
About the Institution: Kristiania University of Applied Sciences is committed to becoming Norway’s first work-life university, offering a dynamic research environment in Oslo. The university supports interdisciplinary research and provides excellent resources for doctoral students in applied IT and related fields.
Keywords: LLM-enabled agentic systems, software engineering, AI agents, applied IT, machine learning, large language models, Python programming, MLOps, cloud computing, empirical evaluation.
Funding details
The position offers a salary of NOK 550,800 per year, with an additional equipment and travel allowance of NOK 50,000 per year. Health insurance, pension, and strong labor protections are included. The fellowship is fully funded for three years.
What's required
Applicants must hold a master's degree in a relevant IT, computer science, or software engineering subject. Strong software engineering skills are required, including clean architecture, testing, and version control. Proficiency in Python is mandatory, while experience with TypeScript or Java is considered helpful. Candidates should have experience with machine learning or large language model frameworks such as PyTorch, Transformers, LangChain, or AutoGen. Basic knowledge of statistics and experimental design is expected. English proficiency and the ability to collaborate across disciplines are required. Desirable qualifications include experience in MLOps, cloud computing or GPUs, security and compliance, and empirical evaluation. Candidates should be independent, systematic, goal-oriented, and curious.
How to apply
Prepare a CV, motivation letter, master's transcript and thesis, a project proposal (up to 4 pages), and at least two references. Submit your application through the Kristiania University of Applied Sciences job portal before the deadline. For questions, contact the listed supervisors by email.
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