Research Scientist: Advanced Manufacturing Optimization

vor 18 Stunden


Winterthur, Zürich, Schweiz ZHAW Vollzeit

We are seeking a highly motivated Research Scientist to contribute to our project on advanced manufacturing optimization at Zurich University of Applied Sciences ZHAW. This role offers excellent opportunities for national and international collaboration with academic and industrial partners.

The successful candidate will be part of an interdisciplinary team focusing on the development of novel methods at the intersection of data-driven optimization, manufacturing science, and machine learning to improve adaptivity in advanced manufacturing. Key responsibilities include translating research ideas into tangible solutions, collaborating with colleagues, and supporting students with their projects.

As a Research Scientist, you will work closely with our team to explore methods incorporating preferences based on reinforcement learning, data-driven optimization, and constrained optimization. You will also study the connection between expert preferences in text form and underlying control actions using robotic systems available in our lab.

The ideal candidate has a recognized master's degree in electrical, mechanical, or industrial engineering, or machine learning/AI with exposure to control systems/theory and focus on optimization, data-driven methods for optimization and control, or probabilistic AI. Proficiency in programming languages like Python, C++, and ROS, as well as experience with robotics/autonomous systems, is essential.

This position comes with a competitive salary of approximately $68,000 per year, commensurate with higher education institutions. Zurich University of Applied Sciences ZHAW offers excellent working conditions and terms of employment. We actively promote personal development for staff in leadership and non-leadership positions.

Benefits include flexible working hours, professional training opportunities, and a generous holiday allowance. As a valued member of our team, you will have access to state-of-the-art equipment and resources. Our university promotes diversity and equality, creating a welcoming environment for everyone.

Contact Dr. Alisa Rupenyan, Head of Industrial AI group, or Tanja Schmid, Recruiting Manager, for further information about this exciting opportunity.



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