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20 Sep 2025 Job Information Organisation/Company Linköpings universitet Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 17 Oct 2025
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application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer
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collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational modeling and simulation, as well as patient-focused and policy-related
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are, for example, novel food technologies, but also well-known food processing methods such as for example tofu and tempeh production using raw materials that can be domestically produced. The research will be based
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Materials Science for Sustainability (WISE) and Wallenberg AI, Autonomous Systems and Software Program (WASP), a WASP-WISE NEST. This interdisciplinary setting provides a unique opportunity to work at the
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Deadline 19 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13648
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large PhD programme and co-ordinates three international Master programmes. The Department has a well established reputation for wide-ranging research with an emphasis on long-term processes, and with
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programme FADOS, which comprises 17 PhD students positioned at eight universities, four research institutes, and four companies. We expect that the qualified applicant (at the time of employment) has a
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training programme complementing scientific skills with personal and entrepreneurial skills, including communication to various audiences, career development, intellectual property and startup-funding
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treatment. It is advantageous if you have previously worked with massively parallel sequencing (NGS), both in the laboratory and/or with bioinformatics, for example Single Cell RNAseq. It is also advantageous