Doctoral Position in Machine Learning for Engineering Design

ETH Zürich; Schweiz; In loco; CHF 42.000 - 52.000; Tempo pieno

Vantaggi offerti da questo lavoro

World-class research infrastructure

Diverse, multicultural team

Intellectual environment

Descrizione del lavoro

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

Mark Fuge on AI and ML in engineering design across healthcare, energy, aerospace, and robotics, with opportunities to publish and collaborate with industry and national labs. The role includes teaching support and active participation in a diverse, multinational team.

Competenze

• Strong English language skills and ability to work successfully and collaboratively on diverse, multinational teams.
• Background in Machine Learning, Optimization, Simulation or Robotics is desirable.
• Publication record in journals or conferences is a plus, especially for non-traditional career paths.

Mansioni

• Conduct individual or collaborative research, write publications, and contribute to code bases.
• Collaborate with industry, academia, and national labs to translate real-world needs into research questions.
• Learn new skills via courses or self-learning and participate in teaching activities as needed.
• Assist with teaching duties for Masters and/or Bachelors thesis students and course support.
• Act as a good lab citizen by helping with shared administrative tasks.

Conoscenze

English proficiency

Team collaboration

Machine Learning

Optimization

Robotics

Formazione

Diverse educational backgrounds (engineering, mathematics, CS, physics)

Descrizione del lavoro

Organisation/Company ETH Zürich Research Field Computer science » Programming Computer science » Other Engineering » Mechanical engineering Engineering » Other Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 15 Jan 2027 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Doctoral Position in Machine Learning for Engineering Design

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

This is a general searchand is not specific to a particular projectso we are prioritizing scientific excellence and fit to the laboratory over any particular topic area.General areas of current research interest for the lab include, but are not limited to:

• 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

As a Doctoralresearcher, your responsibilities may include:

• 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 withMastersand/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

The following are some characteristics that may align well with the position:

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

We encourage candidates to apply even if they do not think they possess every point above, particularly for candidateswho may not have had access to certain development opportunities. We will work with any selected candidates to develop targeted competencies on a personalized basis.

We offer

You can look forward to:

• 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, motivatedand 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

Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn 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.

Further information about our labcan be found on our Website . Questions regarding the position should be directed to Mrs Martina Koch, Adm. Assistant, Tel [phone]or [e-mail] (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

About ETH ZürichETH 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.