Professor/Associate professor (Førsteamanuensis) with Artificial Intelligence (AI) and Health

NTNU is a broad-based university with a technical-scientific profile and a focus on professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 42,000 students work to create knowledge for a better world.

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The Department of Computer Science (IDI) , group for Data and Artificial Intelligence (DART) , has a vacancy for the position of Professor/Associate professor in Artificial Intelligence (AI), with focus on health application.

The main field of research will be within Artificial Intelligence and Machine Learning, with a particular focus on health applications, i.e., Artificial Intelligence and Health. The professor is expected to play an important role in research and research-based education within this field, in cooperation with existing staff at both the IE and medical faculty. The position will be connected to the Norwegian Open AI Lab (NAIL). More specifically, the relevant topics for the position include (but are not limited to):

• AI methods for precision and personalized medicine
• Synthetic data generation and data analysis for health applications
• Explainable AI in healthcare addressing among others data quality, development, robustness and performance
• Trustworthy AI in healthcare addressing among others data access, bias, privacy, purpose and implementation

The research in Artificial Intelligence and Machine Learning at the Department of Computer Science is driven by an interest in contributing to the state-of-the-art at the level of individual methods and algorithms, coupled with an interest in studying and developing fruitful combinations of methods related to the health domain.

The research activities are expected to have a strong international profile and impact. Our strongest contributions to the international research front so far have been within Bayesian learning and probabilistic reasoning, evolutionary learning and neural networks, and instance-based learning and case-based reasoning. In addition, we have ongoing activities within large-scale data and information management at an international level. Over the last years there has been an increased interest in applying AI and machine learning methods on the health domain, and NAIL has already had a lot of activities around this topic.  For the new position, it will be important to find candidates that complement (and build on) the competence already present at IDI and the IE Faculty.

Applicants must have a formal background in computer science, with research focus on AI and/or machine learning.

You will report to head of department.

You can find more information about working at NTNU and the application process here .

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