22 phd-computer-artificial-machine-human Postdoctoral positions at UNIVERSITY OF HELSINKI
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The Faculty of Humanities at the University of Helsinki invites applications for the position of POST-DOCTORAL RESEARCHER IN COMPUTER SCIENCE OR DIGITAL HUMANITIES SPECIALIZING IN AUDIOVISUAL DATA
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vision models and other computational methods to annotate the data, and verifying the quality of these annotations using human-in-the-loop approaches. In addition to conducting research, the post-doctoral
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(at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in logical reasoning is essential Demonstrable research experience in SAT/ASP/SMT/MaxSAT Excellent English
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(at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in SAT/ASP/SMT/MaxSAT is essential Any experience in model counting and a broader understanding of machine
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The Research Council of Finland funded project Figurations of the child and more than human politics of childhood for the post-Anthropocene: The fossil, the microbe, the weather (MoreChild
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chemistry as well as machine learning/artificial intelligence are a merit. The appointee for the doctoral researcher position should either already have the right to pursue a doctoral degree at the University
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spoken and written English; Research interests close to the project scope and prior experience of computational physics and/or chemistry as well as machine learning/artificial intelligence are a merit. The
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) Application Deadline 10 Apr 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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The position requires: A doctoral degree relevant to the project (e.g., biology, genomics, evolutionary biology) Less than seven years since obtaining the PhD Ability to conduct independent scholarly work Strong
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the candidate's background and interests, ensuring a collaborative and engaging research experience. We seek candidates who have completed a PhD in ecological statistics or environmental economics or a related