Master's thesis "Development of an ML-based framework for the design of radial compressors"

• Development of an overall concept for an ML-based framework for the design of turbo-machine components
• Collection and analysis of existing CFD data from previous compressor designs; identification of inconsistencies and processing into a consistent, usable training dataset
• Development of an automated workflow for building the ML model and evaluating its reliability and robustness

What you contribute, We are committed to creating an inspiring working environment in which all employees can develop. To this end, we promote and value the uniqueness of each person and create a culture of respect, openness and appreciation in which everyone is welcome:

• Teamwork at eye level: an open-minded team in which you can contribute your own ideas. New Work, diversity and inclusion as well as cooperative teamwork are central components of our culture.
• Theory meets practice: The opportunity to combine your knowledge from your studies with practical experience at the interface between business and science.
• Flex work: Your studies have priority - we offer you flexible working hours that adapt to your everyday study routine, as well as the opportunity to combine mobile working and on-site work by arrangement with the team.
• Students@UMSICHT: Comprehensive onboarding, good support and networking opportunities as well as versatile support for your career development through training and keynote speeches.
• Health & well-being: Health offers for a good balance in everyday life.
• You can find even more attractive benefits here: Fraunhofer UMSICHT as an employer

Remuneration according to the general works agreement for employing assistant staff.

Application:

Interested? Apply online now via our career portal and join the Fraunhofer UMSICHT team! We look forward to getting to know you. Please submit at least the following documents:

• Curriculum vitae
• Current certificate of enrollment
• Current transcript of records
• Bachelor's degree certificate

• Ongoing master's studies in mechanical engineering, energy engineering, or process engineering
• Solid knowledge of turbomachinery/fluid machinery
• Programming experience in Python
• Ability to work independently
• Interest in machine learning (ML)

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society - more precisely: 32 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow. We want an earth that is worth living on. Our applied research in Circular Economy, Carbon Management, Green Hydrogen and Local Energy Systems makes concrete contributions to achieving the 17 Sustainable Development Goals of the United Nations. As an institute of the Fraunhofer-Gesellschaft, we show how to not only master challenges, but grow with them. We push boundaries, think ahead and shape the future with applied research. Diverse perspectives and approaches strengthen creativity and innovation in our scientific work. Would you like to help us shape a sustainable world? We are looking for reinforcement! The group "CAE and Plant Engineering" develops and integrates CAE interface solutions to link a wide variety of simulation and design tools (in-house software, commercial CFD and FEM programs, etc.) into end-to-end, plant-wide optimization processes. The focus is on fluid dynamics and structural mechanics simulations, as well as automated optimization workflows, which are used to efficiently and robustly design and further develop turbomachinery and other flow-through components.