169 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions in Finland
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Application Deadline 15 Feb 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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supervise theses particularly in the Bachelor’s Programme in Cultural Studies and the Master’s Programme in Cultural Heritage, as well as supervise doctoral theses and teach in the Doctoral Programme in
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and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program
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expected to actively contribute to teaching in the master’s program in social sciences, or thesis supervision and other research activities of the Institute. QUALIFICATIONS The appointee to the position must
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program in one of FIMM’s research fields. The positions are targeted to researchers working at the interface of: • statistical methodology, • machine learning and artificial intelligence, • large
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leadership. The role requires a versatile language scholar who, in addition to specialist expertise in Russian, possesses skills aligned with the University’s strategic plan and the focus areas
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is
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. Demonstrated experience in machine learning–based image analysis / computer vision, preferably using microscopy data Strong programming skills in Python Additional background in AI and machine learning