Doctoral Position in Machine Learning for Engineering Design

ETH Zurich; Zürich; In loco; CHF 50.000 - 60.000; Tempo pieno

Vantaggi offerti da questo lavoro

World-class research infrastructure

Diverse, motivated multicultural team

Excellent working conditions

Professional development and mentoring

Strong track record of placing staff

Collaboration with global scholars

Descrizione del lavoro

ETH Zurich's IDEAL Lab invites applications for one to two doctoral positions in Machine Learning for Engineering Design. You will work under Prof.

Mark Fuge on ML methods for design problems across healthcare, power, aerospace and robotics, with opportunities to publish and contribute code. The role includes collaboration with industry and national labs, teaching support for Masters and Bachelors theses, and a collegial, multicultural team.

Competenze

• Open to diverse educational backgrounds including engineering, mathematics, computer science, physics or other degree backgrounds.
• Candidates typically have interests in or expertise in machine learning, optimization, simulation or robotics.
• Strong publication record is a plus but not required; practical experience or non-traditional paths accepted.

Mansioni

• Individual or collaborative research including writing publications and contributing toward code bases.
• Collaborating with industry, academia, and national labs to translate real-world needs into scientific questions.
• Learning new skills via courses, graduate offerings, or self-learning.
• Assisting with the teaching mission of the lab, including Masters/Bachelors thesis supervision and course support as needed.
• Participating in shared lab administrative tasks and contributing to a collegial lab culture.

Descrizione del lavoro

Doctoral Position in Machine Learning for Engineering Design

100%, Zurich, fixed-term

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

• Self-Supervised Learning and Transfer Learning
• Industrial Robotics and multi-robot coordination, particularly 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 areas at the intersection of ML/AI and Engineering Design

Job description

• Individual or collaborative work on research including writing publications and contributing toward individual or shared code bases
• Collaborating, where relevant, with partners from industry, academia, and national labs to translate real-world needs into scientific or technical questions
• Learning new skills in specialized graduate areas via courses and other educational offerings, or through self-learning
• Assisting with the teaching mission of the laboratory, which includes working with Masters and/or Bachelors thesis students as well as course assistance as needed
• Generally being a good lab citizen by assisting in various shared laboratory administrative tasks shared by the team

Profile

• We are open to diverse educational backgrounds of applicants which can include engineering, mathematics, computer science, physics or other degree backgrounds
• Students in the lab typically have interests in or expertise in one of the following areas: Machine Learning, Optimization, Simulation or Robotics
• Having a strong publication record across either competitive journals or Computer Science conference venues is a plus, but not a requirement, especially for those with practical experience or non-traditional career paths
• Experience with High-Performance Computing (HPC) environments or Software Engineering best practices is a plus, but not a requirement
• You should possess strong English language skills and the ability to work successfully and collaboratively on diverse, multinational teams

We offer

• World-class research infrastructure and excellent working conditions guided by our common understanding of a supportive shared work culture
• Opportunities to work with a diverse, motivated and multicultural team in a creative research environment
• An rich intellectual environment within the lab and the university that includes top scholars from across the globe
• Support for personalized professional development and mentoring with the ability to build a strong support network for your future career and be part of a laboratory with a strong track record of placing employees into competitive research positions, professorships and industrial R&D

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.

Questions regarding the position should be directed to Mrs Martina Koch, Adm. Assistant, Tel [phone] or [e-mail] (no applications).

We anticipate providing interviews and final decisions to candidates before March 1st. The start date can be determined upon mutual agreement with the selected candidate(s) to best account for their personal needs, but as a range we anticipate that the earliest start date could be during May 2027, with the latest start date being October 2027.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.