Vacancies – AI Lab
Vacancies
Any vacancies at NTNU related to NAIL will be listed here. The list is not automatically updated, but all vacancies at NTNU can be found here.
Postdoctoral Fellow in Large Language Models
At the Department of Computer Science (IDI), there is 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.
Read more and apply through Jobbnorge
Application deadline: 31 March 2025
PhD Candidate within Adaptive Graph Database Systems
PhD Candidate within Adaptive Graph Database Systems
At the Department of Computer Science (IDI), we have a vacancy for a PhD position within Adaptive Graph Database Systems.
For many important applications, data is represented as graphs, with dynamic relationships between nodes. Examples include the power grid, financial transaction relationships, social networks, and transportation networks. As such, the need for graph database management systems that enable the efficient processing of complex network data is more timely than ever. Interesting research challenges the PhD student might work on include:
- Indexing methods for dynamic, temporal, and streaming graphs
- Adaptive storage for static and dynamic graphs
- Workload-aware self-optimizing graph database systems
or other interesting topics in the area of graph database systems more or less related to the aforementioned ones.
The candidate will work in cooperation with the partners of NorwAI at NTNU.
Read more and apply through Jobbnorge
Application deadline: 13 April 2025
PhD Candidate in Artificial Intelligence
At the Department of Computer Science (IDI), we have a vacancy for a PhD position in Artificial Intelligence.
The candidate will work in cooperation with the partners of NorwAI at NTNU. SFI NorwAI is a centre for research-based AI Innovation hosted at NTNU in Trondheim, Norway. NorwAI joins forces with 15 partners from industry, universities, and research institutes. Research areas cover competences that the Norwegian industry needs to develop cutting-edge theories, methods and technology, for efficient, effective and responsible exploitation of data-driven AI in innovative industrial solutions. The position is associated with the DATA work package, which aims at developing modern AI for data. The candidate will conduct research to augment data with the help of generative AI methods.
Read more and apply through Jobbnorge
Application deadline: 30 March 2025
PhD Candidate within Probabilistic Methods for Generative AI
At the Department of Computer Science (IDI) and the Norwegian Open AI Lab, there is a vacancy for a PhD Candidate within Probabilistic Methods for Generative AI.
The research focus of this position will be in probabilistic methods for Generative AI. We aim to develop generative AI methods that are applicable for data types beyond text and images (e.g., dynamic graphs), and the successful candidate will be given high level of independence when it comes to selecting what research directions within the area that are considered interesting. Possible directions include (but are not limited to):
- Personalized Generative AI, including privacy issues
- How to ensure that Generative AI systems behave ethically, including how to achieve fairness and unbiasedness when appropriate
- Explainability and transparency for Generative AI systems
- Approaches to improve data efficiency, e.g., encoding a priori knowledge into the generative process
- Generative AI for decision support
- Industrial applications of Generative AI
The research of this position will be conducted in collaboration with industry partners in the geographic region.
Read more and apply through Jobbnorge
Application deadline: 22 April 2025
Student engagements
Any student egagements will be posted here.
You can also find all student teaching assistant positions at the IE faculty on their website.
Research stay at the University of Waterloo within the field of AI
The International Work-Integrated-Learning in Artificial Intelligence project (IWIL AI) is lead by The Department of Computer Science at NTNU, and is in close connection to SFI NorwAI and the Waterloo Artificial Intelligence Institute. The project is funded by the Norwegian Directorate for Higher Education and Skills (HK-dir).
iWIL AI project in partnership with the University of Waterloo invites master’s and PhD students to apply for a research stay up to 6 months at the University of Waterloo, Canada. The call is open for all the master’s and PhD students who work on artificial intelligence related topics at the Department of Computer Science, NTNU. Students from other departments at NTNU may apply if they have a supervisor in the Department of Computer Science.
This is an open call and the committee will evaluate the applications as they come. For more information on how to apply please visit IWIL AIs website.