PhD in Machine Learning for Engineering Design – Zurich

Immigration Policy Lab; Zürich; On-site; CHF 54,000 - 78,000; Full time

Benefits offered by this job

World-class research infrastructure

Multicultural team environment

Mentoring and professional development

Job summary

ETH Zurich's Laboratory for Intelligence in Design Engineering and Learning (IDEAL) seeks one to two doctoral researchers in Machine Learning for Engineering Design. The role, under Prof. Mark Fuge, focuses on AI/ML methods for engineering challenges across healthcare, energy, aerospace, and robotics.

You will engage in research, publications, and collaborations with industry and national labs, while advancing coursework and teaching activities as part of a vibrant, multinational lab environment.

Qualifications

• We are open to diverse educational backgrounds and disciplines.
• Candidates should have interests in ML, optimization, simulation or robotics.
• A publication record is a plus but not required.
• Experience with HPC or software engineering best practices is advantageous.
• Strong English skills and ability to work in multinational teams.

Responsibilities

• Conduct individual or collaborative research, write publications, and contribute to code bases.
• Collaborate with partners from industry, academia, and national labs to translate needs into questions.
• Pursue graduate courses and self‑learning to acquire new skills.
• Assist with teaching duties for Masters/Bachelors projects and course support.
• Support laboratory administration and general lab duties.

Skills

ML fundamentals

Optimization

Simulation

Robotics

English communication

Education

PhD-level education in ML/CS/Engineering

Tools

HPC environments

Job description

ETH Zurich's Laboratory for Intelligence in Design Engineering and Learning (IDEAL) seeks one to two doctoral researchers in Machine Learning for Engineering Design. The role, under Prof. Mark Fuge, focuses on AI/ML methods for engineering challenges across healthcare, energy, aerospace, and robotics.

You will engage in research, publications, and collaborations with industry and national labs, while advancing coursework and teaching activities as part of a vibrant, multinational lab environment.