PhD on MultiDomain 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 nextgeneration healthcare. While parts of hightech system designsuch as the design of lithography machinescan already be automated current designautomation tools remain limited to specific domains or subsystems. Given the growing complexity of these systems holistic systemlevel design automation is the logical and necessary next step. Achieving this requires moving beyond domainspecific solutions by integrating mechanical electrical software datascience and AI expertise.

We are seeking a highly motivated candidate for the PhD position described here who will contribute to this challenge by advancing systemlevel codesign 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 topologiesthat 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 topologydesign 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 systemdesign methodologies. A keen interest in complex dynamical systems functional and performance engineering multi-domain methods learning techniques and optimization is essential.

Job Requirements

• A masters 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 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. 3059 - max. 3881).
• 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 childrens day care and sports facilities.
• Unlimited access to the modern oncampus TU/e Student Sports Center at an exceptionally affordable rate for you and if applicable your partner.
• 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 13000 students and more than 7000 staff forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven a worldleading tech region with more than 7000 hightech 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.

Information

Do you recognize yourself in this profile and would you like to know more Please contact the hiring managerTheo Hofman Full professor or.

Visit our website for more information about the application process or the conditions of employment. You can also contact .

Curious to hear more about what its 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.