Post-Doctoral Position in Machine Learning: The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) at ETH Zurich invites applications for a post-doctoral research position focused on Machine Learning applications in Engineering Design. This role offers unique professional development opportunities under the guidance of Prof. Mark Fuge, with the potential to shape the laboratory’s future research directions.
Post-Doctoral Position in Machine Learning for Engineering Design
Designation
Post-Doctoral Researcher
| Position Details | Information |
|---|---|
| Research Area | Machine Learning for Engineering Design |
| Location | Zurich, Switzerland |
| Anticipated Duration | Approximately 2 years (initial contract of 1 year) |
| Work Type | Full-time (100%), flexible time and location options |
Eligibility/Qualification
- Ph.D. in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or related fields.
- Expertise in one or more areas such as Machine Learning, Computational Simulations (CFD, FEA), Engineering problem domain knowledge, familiarity with High-Performance Computing (HPC), or Software Engineering.
- Strong publication record in relevant conferences and journals.
- Excellent English proficiency and the ability to collaborate in diverse, multinational teams.
Job Description
As a postdoctoral researcher, you will:
- Develop and analyze innovative Machine Learning algorithms for applications like Inverse Design and Surrogate Modeling.
- Collaborate with industry and academia to translate real-world challenges into research questions.
- Manage projects and coordinate development efforts among team members.
- Assist in setting up scientific infrastructure for experiments relevant to your research.
- Engage in dissemination activities, including publishing papers and attending conferences.
- Supervise Ph.D., Master’s, and/or Bachelor’s students.
- Optionally assist in teaching related coursework.
How to Apply
Interested candidates should submit the following documents in PDF format through the online application portal:
- A Cover Letter (maximum 2 pages) addressed to Prof. Mark Fuge.
- A Curriculum Vitae, including a list of publications.
- Contact information for two references (can be included in CV).
- (Optional) A short research statement outlining desired research areas.
Applications must be submitted online; applications via email or postal services will not be considered.
Last Date to Apply
Best consideration will be given to applications submitted by November 1st, 2025.
For questions regarding the position, contact Mrs. Martina Koch, Adm. Assistant, at Tel 044 632 45 16 or via email at martikoc@ethz.ch (no applications). For more information, visit our laboratory’s website.
