Student assistant: »Physics-based machine learning for process optimization in machining domain«

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

• Collaboration in current research and industrial projects with special focus on implementation of ML algorithms     
• Investigate utilization of graph neural networks (GNN) and physics-based ML approach in the domain of dynamic stability of machining process
• Software development with microservice architecture in cloud environment for the machining domain

What you bring to the table

• You are studying Computer science, Mechatronics, Mechanical Engineering or a comparable subject
• First Experience in programming (e.g., Python or C++) are desirable
• Practical core knowledge of ML approaches would be advantageous
• A high degree of initiative, motivation and team spirit

What you can expect

• A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
• Collaboration in innovative research projects and the chance to implement your knowledge from your studies in practice
• Flexible working and trust to drive tasks at your own responsibility
• 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. 

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 

www.ipt.fraunhofer.de 

Requisition Number: 73266                Application Deadline: