Applications are invited for one to two fully funded Doctoral Positions in Machine Learning for Engineering Design at the prestigious ETH Zurich in Switzerland. The positions are hosted within the Laboratory for Intelligence in Design Engineering and Learning (IDEAL) in the Department of Mechanical and Process Engineering, led by Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design.
Scholarship Summary
This doctoral research opportunity focuses on applying Artificial Intelligence and Machine Learning to Engineering Design challenges across domains such as robotics, healthcare, aerospace, and power generation. The search prioritizes scientific excellence, collaborative mindset, and laboratory fit over specific narrow project requirements.
| Field | Details |
|---|---|
| Host Institution | ETH Zurich |
| Department/Lab | Laboratory for Intelligence in Design Engineering and Learning (IDEAL), Department of Mechanical and Process Engineering |
| Designation | Doctoral Researcher / Ph.D. Student |
| Workload & Type | 100%, Fixed-term |
| Location | Zurich, Switzerland |
| Research Area | Machine Learning and AI for Engineering Design |
| Earliest Start Date | May 2027 (Flexible up to October 2027) |
| Last Date to Apply | January 15th, 2027 |
Designation
Doctoral Researcher (Ph.D. Position)
Research Area
The core research themes of the lab include, but are not limited to:
- Self-Supervised Learning and Transfer Learning
- Industrial Robotics and multi-robot coordination (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 and Evaluation Frameworks
- Other emerging intersections of Machine Learning, Artificial Intelligence, and Engineering Design
Location
Zurich, Switzerland (ETH Zurich)
Eligibility / Qualification
The laboratory encourages applications from diverse backgrounds and values varied educational paths:
- Academic Background: Degree in Engineering, Computer Science, Mathematics, Physics, or related technical disciplines.
- Domain Interests: Core interest or technical skills in Machine Learning, Optimization, Simulation, or Robotics.
- Language: Strong English language proficiency with the ability to work collaboratively in diverse, multicultural teams.
- Additional Assets (Not Mandatory): Prior publication record in top journals or computer science conferences, as well as experience with High-Performance Computing (HPC) or software engineering best practices.
Scholarship Description
Doctoral researchers at ETH Zurich benefit from world-class research infrastructure and highly competitive employment terms. Key benefits and responsibilities include:
- Full-time funding with excellent working conditions and salary according to ETH Zurich employment standards.
- Opportunities to conduct cutting-edge research, publish in top-tier venues, and develop shared software libraries.
- Cross-disciplinary collaboration with partners across academia, industry, and national research laboratories.
- Personalized mentoring and professional development to prepare candidates for careers in academia, research institutions, or industrial R&D.
- Involvement in teaching, including guiding Master’s and Bachelor’s thesis projects and participating in lab administration.
How to Apply
Applications must be submitted exclusively through the official ETH Zurich online job portal. Applications sent by email or post will not be considered. Prepare the following documents combined or uploaded in PDF format (ensure your last name is included on each document and in the file names):
- Curriculum Vitae (CV) / Resume: Detailing relevant academic achievements, work experience, and a list of publications (if applicable).
- Research Statement / Statement of Purpose (1–2 pages): Explaining your motivation for pursuing a Ph.D. in this specific lab, research topics of interest, and your background qualifications.
- Transcripts: Copies of official undergraduate and graduate degree transcripts.
- Short Cover Letter: Indicating your preferred start date and your availability for potential Zoom interview slots during the weeks of January 25th and February 1st.
- References: Contact information for two academic or professional references (letters are not required at the time of application).
Last Date for Apply
For best consideration, applications should be submitted by January 15th, 2027. Interviews and final decisions are expected prior to March 1st.
Apply Link
Interested candidates can access the official recruitment portal and submit their applications directly here:
Apply Online at ETH Zurich Official Portal
