Vacancies

Vacancies


Postdoctoral Fellow in Large Language Models

Postdoctoral Fellow in Large Language Models

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At the Department of Computer Science (IDI), we have a vacancy for a Postdoctoral position in Large Language Models.

Large language models (LLMs) are today a central research topic within generative Artificial Intelligence.  Even though international models from companies like OpenAI, Google, Meta and DeepSeek have shown their potential for value creation and business transformation, there are many unsolved issues that require research on both technical and societal aspects.  Central to this postdoctoral position are new responsible techniques for efficient training and adaptation of LLMs for smaller languages like Norwegian, and approaches for dealing with sensitive data and explainability and trust issues.

You will be part of a national initiative on Norwegian large language model training and the applications of these models in selected domains.  In particular, you will be exploring how LLMs can be efficiently pre-trained, fine-tuned and aligned to applications in the financial sector.  You will be working closely together with financial institutions to analyze potential LLM use cases and investigate how LLMs can be successfully developed and deployed in real financial solutions.

Application deadline: 2025-11-16

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PhD Candidate in Privacy Preserving Machine Learning

PhD Candidate in Privacy Preserving Machine Learning

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At the Department of Information Security and Communication Technology (IIK), we have a vacancy for a PhD position in Privacy Preserving Machine Learning, the position is a part of NorwAI.

The candidate will work in a collaboration between the university, the internationally accredited registrar and classification society DNV, and Cancer Registry of Norway. The candidate will be analyzing and developing algorithms for privacy preserving health registry data access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context are differentially private algorithms for statistical model parameter estimation under different trust relations. 

Application deadline: 2025-11-15

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PhD Candidate in Algorithmic Fairness in Recommender Systems

PhD Candidate in Algorithmic Fairness in Recommender Systems

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We have a vacancy for a PhD position in Algorithmic Fairness in Recommender Systems at the Department of Computer Science. The position is a part of NorwAI.

In today’s digital world, extremely large amounts of content overwhelms users, and it becomes a challenge for the end users to find the most suitable content for themselves. Recommender systems help users to find the most relevant items according to their browsing history and personal preferences. Today, recommender systems are frequently used and embedded in many digital services regardless of the domain. While these systems aim to help people by suggesting the most suitable content, the concerns about their effects on people and society becomes more prevalent. Especially in domains like job recommendations, which could have a direct effect on people’s life, it becomes extremely important to pay attention to concepts like fairness.

Fairness is a subjective concept and changes according to the domain, context and point of reference, which makes it an interesting and challenging research problem. In addition, fairness is not a standalone concept and has close connections to diversity, transparency and bias. In this position, the PhD candidate will work on algorithmic fairness in job recommender systems, collaborating with Vend AS that operates FINN.no. The candidate is expected to develop a good understanding of the general domain of fairness in recommender systems and extend their research to the domain-specific features of job recommendations.

Application deadline: 2025-12-12

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