Career
Vacancies
PhD Candidate in Artificial Intelligence for Time Series
At the Department of Computer Science (IDI), we have a vacancy for a PhD position in Artificial Intelligence for Time Series
NorwAI explores ways to study and apply Aritifical Intelligence (AI) technology in innovative ways. Together with many partners from academia and industry, we work in different work packages. The position is associated with the DATA work package. We aim for a close collaboration between the candidate and domain experts from our partners.
Our partner Statnett (https://www.statnett.no/) operates the Norwegian power grid. As an organization, they collect large amounts of data including measurements from a variety of sensors. These measurements inform adjustments necessary to guarantee the stability of electricity supply.
Powerful neural nets have emerged as tools to model sequential data. In particular, transformer models have shown vast potential for time series data. The position will examine ways to apply machine learning models to improve the forecasting for time series. The research will measure not only the ability to accurately predict future measurements, but also investigate methods to explain the model output. These explanations are necessary to prevent errors and help operators maintain a robust system.
Application deadline has passed.
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.
Application deadline has passed.
Postdoctoral Fellow in Large Language Models
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 has passed.
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.
Application deadline has passed.