PhD Candidate in Machine Learning for Engineering Design / 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 studies Artificial Intelligence and Machine Learning in the context of Engineering Design problems across various domains such as healthcare, power generation, aerospace, and robotics.

Project Background

This search is not focused on a specific project; rather, we prioritize scientific excellence and alignment with the laboratory's goals. Current research interests 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
• Emerging Areas at the Intersection of ML/AI and Engineering Design

Job Description

As a Doctoral researcher, your responsibilities may include:

• Conducting individual or collaborative research, which includes writing publications and contributing to shared codebases.
• Collaborating with partners from industry, academia, and national labs to translate real-world needs into scientific or technical questions.
• Learning new skills in specialized graduate areas through courses, educational offerings, or self-study.
• Assisting with the lab's teaching mission, which includes working with Master’s and/or Bachelor’s thesis students and providing course assistance as needed.
• Contributing to various shared laboratory administrative tasks to foster a collaborative team environment.

Profile

We are looking for candidates with the following characteristics:

• Diverse educational backgrounds, including engineering, mathematics, computer science, physics, or related fields.
• Interests or expertise in areas such as Machine Learning, Optimization, Simulation, or Robotics.
• A strong publication record in competitive journals or Computer Science conferences is a plus but not a requirement.
• Experience with High-Performance Computing (HPC) environments or Software Engineering best practices is advantageous but not mandatory.
• Strong English language skills and the ability to work collaboratively within diverse, multinational teams.

We encourage candidates to apply even if they do not meet every point listed above, especially those who may have faced barriers to accessing certain development opportunities. We are committed to working with selected candidates to develop their competencies.

Workplace

ETH Zurich promotes an inclusive culture that values diversity and equality of opportunity. We nurture a working and learning environment that respects the rights and dignity of all staff and students. Sustainability is a core value, and we are actively working towards a climate-neutral future.

We Offer

You can look forward to:

• World-class research infrastructure and excellent working conditions in a supportive environment.
• Opportunities to collaborate with a diverse, motivated, and multicultural team in a creative research atmosphere.
• A rich intellectual environment within the lab and the university, featuring top scholars from around the world.
• Support for personalized professional development and mentorship, along with a strong network for future career opportunities.

Application Information

Apply online using the form below. Only applications matching the job profile will be considered.

Further information about our lab can be found on our website. For questions regarding the position, please contact Mrs. Martina Koch, Administrative Assistant, at Tel 044 632 45 16 or email martikoc@ethz.ch (no applications).

About ETH Zürich

ETH Zurich is one of the world's leading universities specializing in science and technology, known for its excellent education, cutting-edge research, and strong ties to societal needs. With over 30,000 people from more than 120 countries, we foster independent thinking and inspire excellence. Located in the heart of Europe, we collaborate globally to tackle the challenges of today and tomorrow.