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. Physics based ML approach to detect vibrations from sensor data that are detrimental to surface quality can act as a powerful tool to optimize the cutting process. Implementation of ML algorithms in various other use cases could also speed up processes and increase the accuracy of the digital twin model developed at Fraunhofer IPT.
What you will do
What you bring to the table
What you can expect
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.
Remuneration according to the general works agreement for employing assistant staff.
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.
Interested? Apply online now. We look forward to getting to know you!
Aakash Singh M.Sc.
Research assistant »High Performance Cutting«
Phone: +49 241 8904-587
Fraunhofer Institute for Production Technology IPT
Requisition Number: 73266 Application Deadline: