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career. Information This is a full-time position for two years with the possibility of extension for up to three years, based in Luleå. The intended starting date is 1 November 2026. For each position, a
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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scientific vision to set the strategic direction for a nationally and internationally recognized Arctic research community? The Department of Ecoscience at Aarhus University invites applications for a full
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Methodology Development for Utilisation of Mining Waste (waste rock and tailings
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PhD position at the forefront of AI-based pharmacovigilance and healthcare. You will join our innovative, multidisciplinary team engaged in international collaborations, including the Observational
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will be preferred. Requirements: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields Prior experience and proficiency
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, data mining techniques, etc.) to feasible deployment Integrate the developed techniques with modern ICT/IoT and other digitalization systems Cooperation with other research groups/industry partners
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research results (algorithmic developments, data mining techniques, etc.) to feasible deployment • Integrate the developed techniques with modern ICT/IoT and other digitalization systems • Cooperation
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analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and
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of enabling environments and CS&SE practices. Applying data-driven scientometric methodologies to mine existing open scientific databases (OpenAlex, Crossref, ORCID, OpenAIRE, DANS, DataCite, NWO Dataportaal