PhD Candidate in Machine Learning for Engineering Design

PhD Position in Machine Learning for Engineering Design

100%, Zurich, Fixed-Term

The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) in the Department of Mechanical and Process Engineering invites applications for one to two doctoral (Ph.D.) positions in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The laboratory focuses on the application of Artificial Intelligence and Machine Learning to Engineering Design challenges across various domains, including healthcare, power generation, aerospace, and robotics.

Project Background

This is a general search and is not specific to any particular project. We prioritize scientific excellence and compatibility with the lab over specific topic areas. Current research interests in the lab include, but are not limited to:

• Generative Models
• Transfer Learning
• Formal Systems and Program Analysis
• Self-Supervised Learning
• Intersection of Mathematical Topology and Machine Learning
• Agentic/Multi-Agent Coordination for Engineering Design
• Industrial Robotics and Multi-Robot Coordination
• Development of Engineering Benchmarks or Evaluation Frameworks
• Other emerging areas at the intersection of ML/AI and Engineering Design

Job Description

As a Doctoral researcher, you will have the opportunity to:

• Engage in individual or collaborative research projects, including writing publications and contributing to individual or shared code bases.
• Collaborate with partners from industry, academia, and national labs to translate real-world needs into scientific or technical questions.
• Learn new skills in specialized graduate areas through courses, educational offerings, or self-learning.
• Assist with the teaching mission of the laboratory, which includes working with Master’s and/or Bachelor’s thesis students and providing course assistance as required.
• Contribute positively to the lab environment by assisting with various shared administrative tasks.

Profile

We welcome candidates with diverse educational backgrounds, including engineering, mathematics, computer science, physics, or other related fields. Ideal candidates will typically have interests or expertise in areas such as:

• Machine Learning
• Optimization
• Simulation
• Robotics

While a strong publication record in competitive journals or computer science conference venues is a plus, it is not a requirement, especially for those with practical experience or non-traditional career paths. Experience with High-Performance Computing (HPC) environments or Software Engineering best practices is beneficial, but not mandatory. Candidates should possess strong English language skills and the ability to work collaboratively in diverse, multinational teams.

We encourage candidates to apply even if they do not meet every criterion, particularly those who may not have had access to certain development opportunities. We will work with selected candidates to develop the necessary competencies on a personalized basis.

Workplace

ETH Zurich is renowned for promoting an inclusive culture and values diversity. We strive to provide an environment that respects the rights and dignity of all staff and students. For more information about our commitment to equality and diversity, please visit our Equal Opportunities and Diversity website.

We Offer

As a member of our team, you can look forward to:

• World-class research infrastructure and excellent working conditions that foster a supportive work culture.
• Opportunities to collaborate with a diverse, motivated, and multicultural team in a vibrant research environment.
• A rich intellectual landscape within the lab and the university, engaging with top scholars from across the globe.
• Support for personalized professional development, mentoring, and access to a strong network to advance your future career.

Curious? So Are We.

Please apply online using the form below. Note that only applications matching the job profile will be considered.

For further information about our lab, please visit our website. Direct any questions regarding the position to Mrs. Martina Koch, Administrative Assistant, Tel: 044 632 45 16 or email martikoc@ethz.ch (no applications).

About ETH Zurich

ETH Zurich is one of the world’s leading universities specializing in science and technology. We are recognized for our exceptional education, cutting-edge research, and the successful transfer of new knowledge to society. Our university attracts over 30,000 individuals from more than 120 countries, fostering an environment that inspires independent thinking and excellence. Located in the heart of Europe, we are committed to finding solutions to the global challenges of today and tomorrow.