Yingqian Zhang

A PhD position is available at Eindhoven University of Technology, supervised by Associate Professor Yingqian Zhang, focusing on the application of artificial intelligence and data-driven innovation to next-generation product engineering solutions. The opportunity is in collaboration with NXP Semiconductors, a leader in the semiconductor industry, and aims to translate cutting-edge AI research into real-world impact for product development and engineering. The research will likely involve advanced topics in AI, data science, decision making, and big data, with a strong emphasis on practical applications in engineering contexts. Applicants should be passionate about AI and data-driven innovation, and motivated to contribute to impactful research in product engineering. While specific eligibility criteria are not detailed in the post, candidates are expected to have a strong interest in the intersection of AI and engineering, and be ambitious in pursuing research excellence. The position is ideal for those seeking to work at the forefront of AI applications in industry, particularly within the context of semiconductor product development. The position is announced by Yingqian Zhang, Associate Professor of AI for decision making at Eindhoven University of Technology, who also serves as Chair of the Benelux Association for AI and is a technical board member at the Big Data Value Association. Interested candidates are encouraged to review the full details and application instructions via the provided link, and may reach out to the supervisor via LinkedIn for further information.

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.