PhD position in Machine Learning for Engineering Design

PhD position in Machine Learning for Engineering Design

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 :

Profile

The following are some characteristics that may align well with the position :

We encourage candidates to apply even if they do not think they possess every point above, particularly for candidates who may not have had access to certain development opportunities. We will work with any selected candidates to develop targeted competencies on a personalized basis.

We offer

You can look forward to :

Working, teaching and research at ETH Zurich

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application through this portal and it should contain the following documents in PDF format (make sure your last name is on all the documents and in the file name) :