Senior Project Engineer

Myjob; Zürich; Vor Ort; CHF 140.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible working culture

Self-organized work execution

Zusammenfassung

Myjob in Zürich, partnering with ETH Zurich, is seeking a Team Lead for Research Development & Coordination. The role blends applied research with industrial project delivery, focusing on AI, automation and predictive quality.

You will own initiatives end to end, design pre-studies, prepare grant proposals, and build collaborations with partners. A PhD in engineering, strong Python skills, and 3+ years in RD are required; excellent English and German/French/Italian are valued.

Qualifikationen

• PhD in engineering with a focus on industrial applications
• Excellent English, fluency in German/Italian/ French is preferred

Aufgaben

• Deliver technical project work in AI, automation and predictive quality for industrial applications
• Coordinate industry and grant projects, both technically and organizationally
• Acquire new projects and develop the pipeline of project ideas from concept to launch
• Design, execute and coordinate pre-studies and feasibility work
• Prepare industry offers and grant proposals (e.g. Innosuisse, Eurostars)
• Build collaboration opportunities with other research groups and partners
• Provide organizational support to the group head

Ausbildung

PhD in engineering

Tools

Python

Jobbeschreibung

As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from research

Research Development & Coordination (Team Lead track)

• Our research group focuses on the development of AI algorithms for industrial applications. The main
• scope of our activities is the optimization and automation of workflows and production systems. Within
• as automating quality control, detecting process deviations and finally predicting the resulting product
• quality of the production systems. , We are working in a fast moving and dynamic environment, where we are looking for a solution oriented
• and highly motivated curious mind, who pairs technical depth with a can-do attitude to identify and
• resolve problems of real industrial relevance. , This is a highly project-oriented position at the interface between applied research and industrial
• implementation. The role combines hands-on technical delivery with the gradual build-up of project
• acquisition and coordination. You will own initiatives end to end, from spotting an opportunity and
• shaping the consortium to winning the funding and delivering the technical work, within multi-year
• industrial and publicly funded programmes

Your Tasks

• Deliver technical project work in AI, automation and predictive quality for industrial applications
• Coordinate industry and grant projects, both technically and organizationally
• Acquire new projects and develop the pipeline of project ideas from concept to launch
• Design, execute and coordinate pre-studies and feasibility work
• Prepare industry offers and grant proposals (e.g. Innosuisse, Eurostars)
• Build collaboration opportunities with other research groups and partners
• Provide organizational support to the group head

Your Qualifications and Experiences

• A PhD in engineering with a focus on industrial applications
• A proven track record in AI and strong proficiency in Python
• At least 3 years of experience in applied research or industrial RD
• A proactive, self-driven working style with a strong sense of ownership and an entrepreneurial
• mindset (making things happen rather than waiting for direction)
• Strong intrinsic motivation to continuously learn and develop new skills
• A highly structured, well-organized, and solution-oriented approach
• Excellent English, plus fluency in at least one of German, Italian or French; a further national
• language is an advantage
• CH/EU/EFTA citizenship or a valid Swiss work permit
• Full-time position at the forefront of AI for manufacturing with the prospect of a team leadership
• Exciting topics and projects spanning academia and industry
• A flexible working culture with a self-organized job execution
• Close cooperation with our project partners and the chance to build your own network
• Participation in conferences, workshops, and exhibitions
• Guidance and internal training from experienced professionals to support your growth

For technical questions, please contact Daniel Knüttel, Head of Intelligent Production Systems

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