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 general area of the laboratory covers the study of Artificial Intelligence and Machine Learning in the context of Engineering Design problems in domains such as healthcare, power generation, aerospace, and robotics.
Project Background
This is a general search and is not specific to a particular project, so we are prioritizing scientific excellence and fit to the laboratory over any particular topic area. General areas of current research interest for 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, your responsibilities may include:
- Individual or collaborative work on research, including writing publications and contributing toward individual or shared code bases
- 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 via courses, educational offerings, or through self-learning
- Assisting with the teaching mission of the laboratory, which includes working with Masters and/or Bachelors thesis students as well as course assistance as needed
- Being a good lab citizen by assisting in various shared laboratory administrative tasks shared by the team
Profile
The following characteristics may align well with the position:
- We are open to diverse educational backgrounds of applicants, which can include engineering, mathematics, computer science, physics, or other degree backgrounds
- Students in the lab typically have interests in or expertise in one of the following areas: Machine Learning, Optimization, Simulation, or Robotics
- A strong publication record across competitive journals or Computer Science conference venues is a plus, but 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 a plus, but not a requirement
- Strong English language skills and the ability to work successfully and collaboratively on diverse, multinational teams are essential
We encourage candidates to apply even if they do not think they possess every qualification listed, particularly for those who may not have had access to certain development opportunities. We will work with selected candidates to develop targeted competencies on a personalized basis.
Workplace
At ETH Zurich, we provide a world-class research environment with excellent working conditions, supported by a culture of collaboration and innovation.
We Offer
You can look forward to:
- World-class research infrastructure and excellent working conditions guided by a supportive shared work culture
- Opportunities to work with a diverse, motivated, and multicultural team in a creative research environment
- A rich intellectual environment within the lab and the university, including top scholars from around the globe
- Support for personalized professional development and mentoring, with the ability to build a strong support network for your future career
We Value Diversity and Sustainability
In alignment with our values, ETH Zurich promotes an inclusive culture. We value diversity and aim to create a working and learning environment where the rights and dignity of all staff and students are respected. Sustainability is a core value for us, and we are consistently working toward a climate-neutral future.
Curious? So Are We.
We look forward to receiving your online application through this portal. The application should contain the following documents in PDF format (please ensure your last name is on all the documents and in the file name):
- A Curriculum Vitae or Resume detailing your relevant past experience, including a list of publications (if relevant).
- A Research Statement or Statement of Purpose describing your interest in pursuing a Ph.D. position and which types of research topics related to the lab would interest you.
- A copy of your undergraduate and graduate transcripts.
- Contact information for two references, which can be appended to the CV or provided as a separate PDF if you prefer.
For best consideration, please apply online using the form below. Only applications matching the job profile will be considered.
About ETH Zurich
ETH Zurich is one of the world’s leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university a place that promotes independent thinking and inspires excellence. Located in the heart of Europe while forging connections worldwide, we work together to develop solutions for today and tomorrow's global challenges.