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discovery, personalized medicine, and the transition toward advanced animal-free testing methods. Your immediate leader will be the Head of Department. About the project The PhD position is funded through
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20 Aug 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
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Technology » Computer technology Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Oct 2026 - 23:59 (Europe/Oslo) Country
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other dynamic network variables. You will: Develop new data assimilation methods for estimating traffic states and network conditions Combine machine learning with traffic flow theory to improve
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methods, fine-tune and align them for specific operational domains, and deploy them locally under full control of sensitive operational data. A central maritime use case will be condition monitoring and
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states and inputs, such as path flows, boundary conditions, and other dynamic network variables. You will: Develop new data assimilation methods for estimating traffic states and network conditions Combine
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. Strong organizational and project management skills. Excellent written, verbal, and interpersonal communication skills. Demonstrated scientific writing ability. Basic proficiency with standard computer
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Application Submission Method: link Employment Conditions: The involvement in the project will be based on a scholarship agreement for a period of 12 months. Estimated working hours: 40 hours per month. Planned
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contribute to AID by developing trustworthy AI-supported methods for long-term hydropower scheduling. Hydropower plays a central role in the Nordic power system, and deciding when to use or store water is