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part of the ESDiT programme on the ethics of SDTs (see below), specifically a research line in ESDiT on methodological innovation, and involves close collaboration with another postdoc working
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: machine learning or deep learning (e.g. PyTorch) scientific data pipelines or large datasets knowledge graphs or structured data systems GPU or distributed computing scientific machine learning or physics
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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, by the measurement of Earth’s oblateness in 1958. Measuring the gravity field reveals Earth’s state of mass distribution and its dynamics. It also provides the geoid as a reference for sea level
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distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally (Federated Learning). Analyze Mobile & Wearable Data: You will work with
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24 Jan 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Mathematics » Applied mathematics
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/transformative innovation in the sector. Our vision is to become an “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovation such as AI, ML, quantum computing, edge
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) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in questions