Postdoctoral Fellowship (08) at NTNU, Norway

The project will run under the umbrella of the AURA (Advanced Understanding and Development of AI for Regional Advancement) project. The project is a collaboration between Sparebank 1 SMN and NTNU’s Norwegian Open AI Lab (NAIL). Over five year research will investigate responsible AI, combating financial crime, and developing expertise for businesses.

The main goals of the project are to create values through AI for the society, contribute to innovation, and increase competence. There are three work packages:

• AI for Safety
• Responsible AI
• Innovation Hub

The position is associated with the AI for Safety work package. The work package aims to use AI to prevent white collar crime.

AI LEARN is a new Centre dedicated to the empowerment of human learning through responsible, human-centred artificial intelligence. In a world where AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building.

This postdoctoral fellowship is associated with the second and third clusters of the center which focus on Technological Advancement and Hybrid Intelligence. The goal is to investigate how to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology.

The Postdoc fellow will engage with developing AI-agents, models, frameworks and technologies for personalized and adaptive learning experiences, and for facilitating multi-agent communication to enhance human learning. We will utilize high quality datasets provided by our industry partners for model fine-tuning and alignment. Moreover, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. Moreover, the postdoctoral fellow will also support a smooth collaboration with the relevant national and international partners (e.g., communicate with the relevant industry and the public sector partners, organize international workshops, common research proposals). This work in conducted in collaboration with a PhD student.

AI LEARN is a new Centre dedicated to the empowerment of human learning through responsible, human-centred artificial intelligence. In a world where AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building.

This postdoctoral fellowship is associated with the second cluster of the centre, that focuses on Hybrid Intelligence. The goal is to investigate how human-AI interaction and collaboration evolves in contemporary AI environments, including but not limited to Generative AI and multi-agent ecosystems.

The Postdoc fellow will engage with developing and finetuning models from the provided by the partners data (e.g., small models, employ RAGs) and investigate the possibility to include those models to the design of intelligent user interfaces (IUIs powered by those models).

Moreover, they will employ extensive case studies in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. The postdoctoral fellow will also support a smooth collaboration with the relevant national and international partners (e.g., communicate with the relevant industry and the public sector partners, organize international workshops, common research proposals).

AI LEARN is a new Centre dedicated to the empowerment of human learning through responsible, human-centred artificial intelligence. In a world where AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building.

This postdoctoral fellowship is associated with the third cluster of the centre, that focuses on Technological Advancement. The goal is to investigate how to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology.

The Postdoc fellow will engage with developing models, frameworks and technologies that facilitates more efficient development of rich, interactive, personalized and game-based learning experiences. A part of this work is also to consider opportunities for innovation related to start-up companies.  This work in conducted in collaboration with a PhD student.

Moreover, they will employ extensive case studies in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. Moreover, the postdoctoral fellow will also support a smooth collaboration with the relevant national and international partners (e.g., communicate with the relevant industry and the public sector partners, organize international workshops, common research proposals).

This postdoctoral position contributes to the Department’s research and pedagogical activities in urban planning, with a particular focus on Geographic Information Systems (GIS), land use analysis, and digital decision support systems. The role addresses the increasing demand for advanced analytical frameworks and computational tools to tackle complex urban transformation challenges, including climate change, ecological shifts, socio-cultural dynamics, mobility needs, and sustainability imperatives. 

This postdoctoral research will explore the potential of digital technologies – particularly spatial decision-making methodologies and data-driven approaches – to enhance sustainable urban planning practices. It aims to develop and integrate GIS-based analytical tools and evaluation frameworks across thematic domains, facilitating interdisciplinary and evidence-informed decision-making. 

The application of digital tools will centre on deepening the understanding of their role in urban transformation and the interdependencies within the built environment. Through urban analytics, data science, and participatory planning methods, the research will support key areas such as mobility planning, socio-ecological systems, adaptive reuse of urban heritage, as well as strategic urban design and planning – contributing to the development of inclusive, climate-resilient, and future-proof cities.

The research focus of this position will be on anomaly detection. We mainly aim to develop methods that are applicable for static and dynamic graphs, but are also interested in other data types. 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):

• Probabilistic anomaly detection
• Explainability and transparency for anomaly detection
• Approaches to improve data efficiency, e.g., few-shot anomaly detection
• Industrial applications of anomaly detection

The research of this position will be conducted in collaboration with industry partners in the geographic region. 

Your immediate leader will be the Head of the Norwegian Open AI Lab.

Are you ready to take your research career to the next level? We offer an exciting 3-year postdoctoral position that gives you the opportunity to develop a strong profile as researcher. You will also gain valuable experience that might be relevant for your further career.

The purpose of a postdoctoral position is to build up a researcher profile that qualifies for a position as associate professor. The position may also offer additional skills that are relevant to the postdoctoral fellow’s future career.