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23 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Architecture » Other Engineering » Civil engineering Engineering » Other Researcher Profile First Stage Researcher (R1
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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representation, logic, machine learning, networks, operating systems, programming languages, protocols, security, social choice, software engineering Deadline for submitting applications: 20 February 2026 Required
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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having a focus and in-depth expertise in a particular topic mentioned above. Applicants should have a PhD in Computer Engineering, Computer Science, or Electrical Engineering. Expertise in Quantum Physics
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catalysts for the synthesis of a range of industrially valuable compounds. This PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning
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. In addition, you must have: a solid foundation in energy technology and a strong understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling documented experience
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and/or the CAD/CAM process is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured
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these opportunities with your long-term career goals. Required Qualifications • Ph.D. in Civil Engineering, Hydrology, Computer Science, Earth System Science, or related fields. PhD must be awarded no more than four
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candidate in the exciting area of multiscale and multiphysics modelling of sustainable fibrous composites, with additional focus on uncertainty quantification and machine learning. Information The context