Eindhoven University of Technology
5 days ago
PhD in AI and Quantum Information Science at TU/e Eindhoven University of Technology in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 10, 2026
Country
Netherlands
University
Eindhoven University of Technology

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About this position
PhD opening at Eindhoven University of Technology (TU/e) in the Department of Electrical Engineering, working in BIASlab on AI methods for quantum information science.
The project focuses on the boundary between machine learning and quantum computation, with an emphasis on making quantum devices more robust and reliable under real-world noise conditions. The research environment is supervised by Dr. Ivana Nikoloska, who is affiliated with the Casimir Institute.
Ideal candidates have a Master’s degree (or near-completion) in electrical engineering, computer science, or a related field, with a solid foundation in machine learning and/or quantum information theory. The post also asks for a research-oriented attitude, ability to work in an interdisciplinary team, motivation to develop teaching and coaching skills, and C1-level English.
This is a full-time PhD employment for four years, with an intermediate assessment after nine months. The salary is in scale P at €3,204–€4,051 gross per month (full-time), plus holiday allowance and year-end bonus, along with pension and other employment benefits.
Location: Eindhoven, Netherlands.
Deadline: 2026-09-10.
How to apply: Submit your application online via the vacancy page. Include a cover letter, CV with publication list, and contact details for three references. Applications sent by email or post will not be processed.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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