Vacancies

Vacancies

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Postdoctoral Fellow in Artificial Intelligence

Postdoctoral Fellow in Artificial Intelligence

We have a vacancy for a postdoctoral fellowship at the Department of Computer Science at NTNU in Trondheim, Norway. The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.

The postdoctoral fellowship will be a core part of the research efforts in the center, and we look for a highly motivated, self-driven candidate that would like to conduct AI research to build a profile for an academic career. The topic of the postdoctoral fellowship is open to the topics we work on in the center and we invite candidates to propose a suitable research topic that links to at least one of our work packages (https://www.ntnu.edu/norwai/research). The fellow should aim at high-level publications in the broader field of AI and name potential publication venues in the application.

A list of possible, but not limited, research topics are:

  • Geometric Deep Learning and Graph Representation Learning
  • Machine learning on dynamic graphs
  • Personalization 
  • Developing Machine Learning methods for time series and streaming data
  • Image recognition

Application deadline: 31st August 2022

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PhD Candidate within Trustworthy Artificial Intelligence

PhD Candidate within Trustworthy Artificial Intelligence

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At the Department of Computer Science, we have a vacancy for a PhD candidate in Trustworthy Artificial Intelligence. This PhD project is a part of the PERSEUS doctoral programme, in collboration with the SFI NorwAI.

Building trustworthy AI systems is a cornerstone to apply AI technologies in practice and therefore we need to explore methods, build tools, and incorporate different perspectives when developing novel AI applications. Based on the definition of the High Level Expert Group of the European Union, trustworthy AI should be lawful, ethical, and robust. While guidelines exist, research on implementation methodologies are currently under development and this PhD position will contribute to develop principles for creating trustworthy AI applications. Together with partners in the NorwAI SFI the candidate will work on the creation for guidelines for a sustainable and beneficial use of AI, explore privacy-preserving technologies and create explainable, interpretable and transparent prototypes to be tested in industrial settings.

Application deadline: 30th September 2022

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PhD Candidate in AI for Databases

PhD Candidate in AI for Databases

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At the Department of Computer Science, we have a vacancy for a PhD candidate in AI for Databases. This PhD project is a part of the PERSEUS doctoral programme, in collboration with the SFI NorwAI.

The aim of this PhD position is to work with research topics at the interface between machine learning and databases, and develop techniques that use AI to improve efficiency of database algorithms or database systems. Examples of topics in this direction from recent years include learned indexes, machine learning for query optimization, data cleaning, and algorithm selection. The PhD student will work with challenges related to these or other emerging topics within AI for databases, in cooperation with industry partners in the NorwAI research center. The research outcome is expected to produce high-quality publications in top database/data mining venues.

Application deadline: 30th September 2022

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PhD Candidate in Algorithms for Large-Scale Processing of Dynamic Graphs

PhD Candidate in Algorithms for Large-Scale Processing of Dynamic Graphs

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At the Department of Computer Science, we have a vacancy for a PhD candidate in Algorithms for Large-Scale Processing of Dynamic Graphs. This PhD project is a part of the PERSEUS doctoral programme, in collboration with the SFI NorwAI.

For many important applications, data is presented as graphs, with dynamic relationships between nodes. Examples include graphs representing the power grid, financial transaction relationships, social networks, and transportation networks. The nodes in the graphs can also have attached dynamic data, for example time series, adding further challenges. The PhD student will develop techniques (algorithms and frameworks) for efficient processing of dynamic graphs, in cooperation with industry partners in the NorwAI research center. The research outcome is expected to produce high-quality publications in top database/algorithms/data mining venues.

Application deadline: 30th September 2022

Read more and apply for the position