Applications are invited for one to two fully funded doctoral (Ph.D.) positions in the field of Machine Learning for Engineering Design at ETH Zurich, Switzerland. The positions are hosted by the Laboratory for Intelligence in Design Engineering and Learning (IDEAL) within the Department of Mechanical and Process Engineering, led by Prof. Mark Fuge, Chair of Artificial Intelligence in Engineering Design.
Summary
The IDEAL lab at ETH Zurich is conducting a general search for exceptional doctoral researchers to investigate the intersection of Artificial Intelligence, Machine Learning, and Engineering Design across domains such as healthcare, aerospace, robotics, and power generation. The positions provide a 100% employment contract, world-class research infrastructure, and comprehensive mentorship.
Overview & Key Details
| Designation | Doctoral / Ph.D. Researcher (1–2 positions) |
|---|---|
| Research Area | Machine Learning, Artificial Intelligence, Engineering Design, Robotics |
| Host Institution | ETH Zurich (Department of Mechanical and Process Engineering) |
| Laboratory | Laboratory for Intelligence in Design Engineering and Learning (IDEAL) |
| Location | Zurich, Switzerland |
| Employment Type | 100%, Fixed-term |
| Earliest Start Date | May 2027 – October 2027 |
| Application Deadline | January 15, 2027 |
Research Area
The research is not limited to a single rigid project, allowing scientific flexibility based on fit and excellence. General areas of current interest include:
- Self-Supervised Learning and Transfer Learning
- Industrial Robotics, multi-robot coordination, and Design for Robotic Assembly/Manufacturing
- Agentic/Multi-Agent coordination for Engineering Design
- Formal Systems and Program Analysis
- Intersection of Mathematical Topology and Machine Learning
- Development of Engineering Benchmarks or Evaluation Frameworks
- Other emerging methodologies at the boundary of ML/AI and Engineering Design
Location
The position is based at ETH Zurich, Zurich, Switzerland.
Eligibility & Qualifications
Candidates from diverse educational backgrounds are welcomed. Ideal profiles display:
- A degree (Master’s or equivalent) in Engineering, Computer Science, Mathematics, Physics, or related disciplines.
- Foundational interest or background in Machine Learning, Optimization, Simulation, or Robotics.
- Proficiency in written and spoken English with strong interpersonal and teamwork skills in an international setting.
- A publication record in competitive journals or computer science conference venues is advantageous, but not strictly mandatory.
- Experience with High-Performance Computing (HPC) or software engineering best practices is a plus.
Scholarship / Position Description
Doctoral candidates will conduct independent and collaborative research, publish findings in top-tier conferences and journals, and develop shared software codebases. The role involves liaising with industry partners, academia, and national labs to translate real-world engineering challenges into scientific questions. Additionally, researchers will assist in laboratory teaching missions (advising Bachelor’s and Master’s students) and engage in general lab community activities.
ETH Zurich provides world-class facilities, competitive remuneration according to Swiss standards, and dedicated professional development support aimed at preparing graduates for leading careers in academia and industrial R&D.
How to Apply
Interested candidates must apply exclusively through the ETH Zurich online portal. Prepare the following documents in PDF format (ensure your last name is included on all documents and file names):
- Curriculum Vitae (CV) / Resume: Detailing relevant past experience and publications (if applicable).
- Research Statement / Statement of Purpose (1–2 pages): Describing why you want to pursue a Ph.D. in the IDEAL lab, specific research topics of interest, and your relevant qualifications.
- Transcripts: Copies of your undergraduate and graduate academic records.
- Cover Letter: Stating your desired start date and your available time windows during the weeks of January 25th and February 1st for potential Zoom interviews.
- References: Contact details of two referees (reference letters are not needed upfront).
Last Date for Apply
For best consideration, applications must be submitted by January 15, 2027. Interviews and final decisions are scheduled before March 1st.
Apply Link
To learn more and submit your application, please visit the official job listing: Apply Online at ETH Zurich.
