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Yingqian Zhang

1 week ago

Fully funded PhD in Explainability and Human-in-the-Loop Optimization at Eindhoven University of Technology Eindhoven University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 31, 2026

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Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Statistics
Decision Support System
Machine learning

About this position

Fully funded PhD opportunity at Eindhoven University of Technology (TU/e) in explainability and human-in-the-loop optimization, within the MSCA Doctoral Network project Confident Data Driven Decision Support.

The position is advertised by Yingqian Zhang, Associate Professor of AI for decision making at TU/e, together with the project team including Isel Grau and Kevin Tierney from TU/e / EAISI. The research focus sits at the intersection of artificial intelligence, decision support, optimization, and data-driven methods, making it a strong fit for candidates interested in explainable AI and interactive decision-making systems.

Funding: the PhD is fully funded through the MSCA Doctoral Network. The post does not mention tuition or stipend details, but it is explicitly described as fully funded.

Eligibility: applicants must satisfy the MSCA mobility rule and must not have lived in the Netherlands for more than 12 months in the past three years. No other specific requirements are stated in the post.

Deadline: 31 July 2026. The team notes that interviews will begin as soon as strong applications are received, so early applications are encouraged.

How to apply: use the application link in the post and apply as soon as possible. Prepare your application early to be considered promptly.

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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