Student assistant: Physics-based Machine Learning for Process Optimization in Machining Domain

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.

At the Fraunhofer Institute for Production Technology IPT in Aachen, we are creating the production of the future with more than 450 employees – digital, sustainable and resilient. The »High-Performance Cutting« department develops technologies and application-oriented solutions for machining along the entire process chain - from process design to real-time data acquisition for generating a digital twin during production to consulting and prototype production.

As a student assistant, you will support our team in advancing Physics-based machine learning approches for detecting surface-quality-critial vibrations from sensor data, enabling data-driven optimization of machining processes. You will also implemet ML algorithms for additional use cases, acceleration workflows and enhancing the accuracy of the digital twin platform developed at Fraunhofer IPT.

The job requires regular attendance at our insitute in Aachen. The weekly hours are at least 12 hours.

Be part of change

Develop and implement machine learning algorithms to model and analyze dynamic phenomena in milling processes
Explore and apply Physics-Informed / Physics-Guided Machine Learning approaches
Design and develop cloud-based microservices for industrial manufacturing applications

What you contribute

You are studying Mechanical Engineering, Computer Science, Mechatronics or a comparable subject
Solid background in programming (e.g., Python or C++) is essential
Experience with machining processes or ML approaches are advantageous
A high degree of motivation, initiative, independence
Good language skills in German and/or English

What we offer

Collaboration in innovative research projects and the chance to implement your knowledge from your studies in practice
A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
Flexible working to combine studies and job in the best possible way
The opportunity to write your practice-oriented thesis with us

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

Aakash Singh M.Sc.
Research assistant »High Performance Cutting«
Phone: +49 241 8904-587

Fraunhofer Institute for Production Technology IPT

www.ipt.fraunhofer.de

Requisition Number: 83507 Application Deadline:

Job Segment: Physics, Computer Science, Research Assistant, Machinist, Science, Technology, Research, Manufacturing

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