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accordance with the salary system for Finnish universities. The salary comprises two components: a job-related salary element and a personal salary element. For a Doctoral Researcher, the job-related salary
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the doctoral degree is expected. Scientific competence in developing artificial intelligence methods, with proven publication record in scientific venues in the field, as well as programming skills. Publications
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group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational methods to understand the regulatory mechanisms
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developing artificial intelligence methods, with proven publication record in scientific venues in the field, as well as programming skills. Publications in top-tier AI and NLP venues (e.g., NeurIPS, ICML
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methods tailored for different types of multivariate data, such as time series, spatial data, spatio-temporal data, functional data or tensor-valued observations. The work of the postdoctoral researcher
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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of the University salary system for teaching and research personnel and includes a component based on personal performance. Standard Finnish pension benefits, occupational health care, and opportunities
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level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The starting salary
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researcher will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based
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, infrastructure regulation, trade) Interest in the geopolitics of cloud infrastructure or digital sovereignty Strong collaboration and communication skills Basic knowledge of quantitative methods (e.g. multiple