Research Associate - Data-Driven Optimization and AI for Industrial Applications 100%, Zurich, fixed-term
ETH Zürich
Kontakt aufnehmen
Wichtige Links
Zur Stelle >
Zur Firma >
Research Associate – Data-Driven Optimization and AI for Industrial Applications
100%, Zurich, fixed-term
print Drucken
Inspire AG is Switzerland’s leading competence center for product innovation and advanced manufacturing. As a
strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from academic research into the
Swiss mechanical, electrical, and metal industries.
The Machine Concepts research group at inspire AG, in collaboration with the Chair of Artificial Intelligence in
Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of data-driven optimization.
Project background
Our research focuses on the development and application of machine learning and optimization methods in manufacturing.
We aim to create intelligent systems for process parameter selection, condition-based maintenance, and human-machine
interaction.
Job description
Your Tasks:
- Develop AI-based optimization methods to enhance industrial manufacturing processes
- Design and implement cutting-edge machine learning models for process parameter selection
- Reduce experimental effort with transfer learning and prior knowledge
- Collaborate with leading Swiss industry partners and apply AI to real-world problems
Validate and refine methods using real industrial data.
Profile
Required experience:
- CH/EU/EFTA citizenship or a valid work permit for Switzerland
- A Master’s degree (ETH, university) in engineering, computer science, or a related field
- Strong academic performance meeting the admission requirements for a PhD at ETH Zurich
- Experience in machine learning, optimization, or AI-driven decision-making
- Preferably with knowledge of Bayesian optimization or Gaussian processes
- Programming experience (Python, MATLAB, or similar)
Required people skills:
- Highly self-organized, structured, and motivated to explore new techniques
- Strong problem-solving mindset and willingness to tackle complex challenges
- Ability to collaborate in a dynamic team with a creative and positive mindset
- Fluency in English (German is an advantage, French is a plus)
Workplace
Workplace
We offer
This is a full-time research position with the opportunity to pursue a PhD at ETH Zurich. You will work closely with
Swiss industry leaders, translating cutting-edge research into real manufacturing impact. The role offers an
exceptional environment for interdisciplinary research at the intersection of AI, manufacturing, and industrial
innovation—with strong prospects for career growth.
Curious? So are we.
Please send your full application (cover letter, transcripts, CV, references) with reference ”Data-Driven
Optimization” to our HR department (hr@inspire.ch).
For technical questions, please contact Dr. Markus Maier, Head of Machine Concepts (markus.maier@inspire.ch). Please
also visit our websites and Artificial Intelligence in Mechanics and Manufacturing.
100%, Zurich, fixed-term
print Drucken
Inspire AG is Switzerland’s leading competence center for product innovation and advanced manufacturing. As a
strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from academic research into the
Swiss mechanical, electrical, and metal industries.
The Machine Concepts research group at inspire AG, in collaboration with the Chair of Artificial Intelligence in
Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of data-driven optimization.
Project background
Our research focuses on the development and application of machine learning and optimization methods in manufacturing.
We aim to create intelligent systems for process parameter selection, condition-based maintenance, and human-machine
interaction.
Job description
Your Tasks:
- Develop AI-based optimization methods to enhance industrial manufacturing processes
- Design and implement cutting-edge machine learning models for process parameter selection
- Reduce experimental effort with transfer learning and prior knowledge
- Collaborate with leading Swiss industry partners and apply AI to real-world problems
Validate and refine methods using real industrial data.
Profile
Required experience:
- CH/EU/EFTA citizenship or a valid work permit for Switzerland
- A Master’s degree (ETH, university) in engineering, computer science, or a related field
- Strong academic performance meeting the admission requirements for a PhD at ETH Zurich
- Experience in machine learning, optimization, or AI-driven decision-making
- Preferably with knowledge of Bayesian optimization or Gaussian processes
- Programming experience (Python, MATLAB, or similar)
Required people skills:
- Highly self-organized, structured, and motivated to explore new techniques
- Strong problem-solving mindset and willingness to tackle complex challenges
- Ability to collaborate in a dynamic team with a creative and positive mindset
- Fluency in English (German is an advantage, French is a plus)
Workplace
Workplace
We offer
This is a full-time research position with the opportunity to pursue a PhD at ETH Zurich. You will work closely with
Swiss industry leaders, translating cutting-edge research into real manufacturing impact. The role offers an
exceptional environment for interdisciplinary research at the intersection of AI, manufacturing, and industrial
innovation—with strong prospects for career growth.
Curious? So are we.
Please send your full application (cover letter, transcripts, CV, references) with reference ”Data-Driven
Optimization” to our HR department (hr@inspire.ch).
For technical questions, please contact Dr. Markus Maier, Head of Machine Concepts (markus.maier@inspire.ch). Please
also visit our websites and Artificial Intelligence in Mechanics and Manufacturing.