Publisher
source

Eindhoven University of Technology

PhD in AI and Quantum Information Science Eindhoven University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 10, 2026

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Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Information Technology
Artificial Intelligence
Quantum Computing
Quantum Electronics
Quantum Communication
Physics
Information Systems

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About this position

PhD position at Eindhoven University of Technology (TU/e) in AI and Quantum Information Science, based in the BIASlab within the Department of Electrical Engineering. The project focuses on developing advanced AI methods for quantum information systems, with research at the boundary of machine learning and quantum computation. A key scientific aim is to improve the robustness and reliability of quantum devices under real-world noise conditions, contributing foundational methods for making quantum systems more usable at scale.

You will join an interdisciplinary and internationally connected research environment at TU/e, with supervision by Dr. Ivana Nikoloska, who is affiliated with the Casimir Institute. The department emphasizes application-oriented research and close links to high-tech industry, while TU/e highlights a collaborative culture, strong technical infrastructure, and opportunities for professional development as a researcher.

This is a full-time PhD employment for four years, with an intermediate assessment after nine months. The position includes teaching duties of at least 10% of the appointment over the four-year period, and up to 15% per year. Funding is provided through a Dutch university salary scale (scale P), with a gross monthly base salary between €3,204 and €4,051 for full-time work, plus an 8% holiday allowance and an 8.3% year-end bonus. Employment benefits also include a pension scheme, maternity and parental leave provisions, training support, commuting/home-working/internet allowances, and access to campus facilities.

Applicants should hold, or be close to completing, a master’s degree in electrical engineering, computer science, or a related field. The post seeks candidates with a strong foundation in machine learning and/or quantum information theory, a research-oriented mindset, the ability to work well in interdisciplinary teams, and a willingness to develop teaching and student-coaching skills. Fluency in spoken and written English at C1 level is required.

The vacancy is open until the position is filled, and the listed application deadline is 2026-09-10. To apply, candidates should submit an online application with a cover letter, CV including publications, and the contact details of 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.

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