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FEMAIS logoIn spring 2022 we are kicking off our brand new pilot scheme: FEMAIS - a mentorship program for female students in artificial intelligence!

We are currently looking for students interested in participating. Among our partners we have many skilled and enthusiastic mentors, ready to connect and to give advise on career planning and starting working life within the field of AI.

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Vacancies

Vacancies

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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 develop techniques that use AI to improve efficiency of 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. The research outcome is expected to produce high-quality publications in top database/data mining venues.

The application deadline has passed.


PhD Candidate in Natural Language Processing for Personalized Content Summarization

PhD Candidate in Natural Language Processing for Personalized Content Summarization

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At the Department of Computer Science, we have a vacancy for a PhD candidate in Natural Language Processing for personalized content summarization. This PhD project is a part of the PERSEUS doctoral programme, in collboration with the SFI NorwAI.

Content summarization uses machine learning to extract the main ideas of individual texts or collections of text. It may also be used to explain recommendations and provide explanatory features in artificial intelligence in general. Central to the technique is the use of machine learning and language models to interpret text and contextualize content with respect to users or tasks at hand.  Summarization is often combined with other NLP techniques to provide personalized summaries or build conversational systems that make use of external sources. The PhD student will develop new summarization techniques that are incorporated into generative conversational systems and personalized with respect to users and contexts. The research will address both English and Scandinavian languages. The expected results include industrial prototypes in collaboration with industry partners as well as high-quality publications in top NLP venues.

The application deadline has passed.


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, and the research outcome is expected to produce high-quality publications in top database/data mining venues.

The application deadline has passed.