The »High-Performance Cutting« department develops technologies and application-oriented solutions for cutting along the entire process chain - from process design and process simulation to real-time data acquisition during production, consulting, and prototype manufacturing. Optimizers like Bayesian Optimization can further automize the process of CAM planning, thus reducing the amount of expert knowledge required.
We are looking for a dedicated and motivated student to assist us in implementing a novel optimization strategy within our simulation environment, called dPart®, and determining its limitations.
What you will do
* Explore new key performance indicators (KPIs), such as the difference between the optimal component geometry and the geometry predicted by our milling simulation
* Investigate various optimization strategies and their effectiveness in automizing CAM planning
* Incorporate the analyzed strategies and KPIs within dPart®
* Preparation and documentation of results
What you bring to the table
* You are studying computer science, mechanical engineering, industrial engineering or a comparable subject
* First experience in Python is advantageous
* You optimally have basic knowledge of non-gradient optimization methods
* Good language skills in German and/or English
What you can expect
* Professional supervision and collaboration in a dedicated team
* You become part of the team from the very beginning, can contribute your ideas and take on tasks on your own responsibility
* A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
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.
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!
For any further information on this position please contact:
Benedikt Riegel M. Sc.
Research Assistant »High Performance Cutting«
Phone: +49 241 8904-342
Fraunhofer Institute for Production Technology IPT
www.ipt.fraunhofer.de
Requisition Number: 76502 Application Deadline: