PhD on Multi‑Domain System Topology Design Automation

Introduction

Do you like applying mathematical theories in practice to solve real-world challenges? Do you like working with top-notch, internationally recognized industrial partners? Would you like to push the boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system design? We are offering a PhD position to join our research team for an interdepartmental project focused on solving cutting-edge design automation questions that will drive innovation in the Brainport region and beyond.

Job Description

The semiconductor industry is essential to global economic growth and technological progress, enabling innovations ranging from advanced energy solutions to next‑generation healthcare. While parts of high‑tech system design—such as the design of lithography machines—can already be automated, current design‑automation tools remain limited to specific domains or subsystems. Given the growing complexity of these systems, holistic system‑level design automation is the logical and necessary next step. Achieving this requires moving beyond domain‑specific solutions by integrating mechanical, electrical, software, data‑science, and AI expertise.

We are seeking a highly motivated candidate for the PhD position described here, who will contribute to this challenge by advancing system‑level co‑design of architecture, functionality, and performance. You will join a team consisting of five other PhD researchers and colleagues from two additional departments (Electrical Engineering, and Mathematics & Computer Science). The team develops in addition system models to monitor and understand operational behavior and to act upon system irregularities.

This PhD research focuses on achieving automated computational design synthesis of system topologies—that is, how components and subsystems can be interconnected to realize a functional system. The goal is to generate new and innovative system topologies that can be automatically analyzed and evaluated based on construction properties and performance indicators. This requires insights into how to fully automate discrete topology‑design synthesis across system levels, how to learn component descriptions, and how these components can be interconnected.

We are looking for a candidate with strong programming skills; prior experience in applying and understanding generative AI methods and tools; and a solid background in system‑design methodologies. A keen interest in complex dynamical systems, functional and performance engineering, multi-domain methods, learning techniques, and optimization is essential.

Job Requirements

• A master’s degree (or an equivalent university degree) in systems and control, mechanical engineering, electrical engineering, mathematics and/or computer science.
• Strong analytical and problem-solving skills, with a passion for tackling complex, multi-disciplinary challenges.
• Eager to work within an interdisciplinary team of industry and academic researchers.
• Excellent communication and collaboration skills to work effectively within a large project team.
• Proven programming skills in Matlab and/or Python
• Motivated to develop your teaching skills and coach students
• Fluent in spoken and written English (C1 level)
  
  

Conditions of Employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: 

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment. 
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).  
• A year-end bonus of 8.3% and annual vacation pay of 8%. 
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process. 
• An excellent technical infrastructure, on-campus children's day care and sports facilities.  
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs. 
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates. 

About us

We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

The Department of Mechanical Engineering department conducts world-class research aligned with the technological interests of the high-tech industry in the Netherlands, with a focus on the Brainport region. Our goal is to produce engineers who are both scientifically educated and application-driven by providing a balanced education and research program that combines fundamental and application aspects. We equip our graduates with practical and theoretical expertise, preparing them optimally for future challenges.

Information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Theo Hofman, Full professor, t.hofman@tue.nl or +31 40 247 2827.

Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.me@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post. 
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.