PhD student/Postdoctoral Researcher Positions on Multi-Modal Data Mining Methods at Simula Metropolitan Center for Digital Engineering

Simula’s mission is to solve important and fundamental problems of science and engineering, with the main goal of improving society. We do this by concentrating on five research areas in ICT and performing excellent research, by developing our people, and by spinning out applicable results into profitable startups. In short, “we hire the best people, those who arepersonally driven to push boundaries and innovate - and then we give them the tools, space and freedom to do just that.” (CEO, Prof. Aslak Tveito)

Data mining holds the promise to improve our understanding of dynamics of complex systems such as the human metabolome (i.e., the complete set of small biochemical compounds in the human body) by discovering the underlying patterns, i.e., subsystems, in data collected from these systems. The complexity of the systems requires collection of data sets from multiple sources using different technologies recording the behavior of the system from complementary viewpoints. This project will formulate a mathematical framework for analysis of multi-modal data sets, derive efficient algorithms and apply the developed methods on unique data sets, primarily focusing on the analysis of longitudinal metabolomics measurements and genetics information from the COPSAC2000 cohort.

The project is in collaboration between Simula Metropolitan Center for Digital Engineering (SimulaMet), University of Copenhagen, University of Amsterdam and COPSAC (Danish Pediatric Asthma Centre, Copenhagen). Open positions are based at SimulaMet in Oslo, Norway and include short or long-term stays with the partners.

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PhD student/Postdoctoral Researcher Positions on Multi-Modal Data Mining Methods at Simula Metropolitan Center for Digital Engineering