Industry 4.0 (I4.0) is the new trend of automation and data exchange in manufacturing technologies. One major characteristic of I4.0 strategy is the strong customization of products under the conditions of highly flexible production, enabling mass customization. Custom product offers inherent advantages over their mass-produced counterparts, as they can provide more comfort, unique and aesthetic appeal, and/or better performance. However, the design for custom product is a very difficult task, and it is still unknown that what kind of system or interface is needed to fully utilize the capability of I4.0 so to meet the constantly varying and unpredictable changes in mass customization. Current Computer-Aided Design (CAD) system requires complex operations with high cognitive load, and lack support for structural optimization to improve the design based on performance and user intentions. The objective of this research program is to apply deep learning into the development of generative design methodologies to account for design changes for each individual’s need in mass customization.

PhD in Mechanical, Computer Science or related fields with experiences in Machine Learning and Design.

Horizon position is expected to be filled as soon as possible but no later than March 1, 2024.

• All documents must be submitted to Niyusha Samadi
• Please include the reference number with your application

• One to three (1-3) page research statement demonstrating fit with the program described above.
  
• Current curriculum vitae demonstrating research excellence and a capacity for leadership in the domain (maximum 5 pages).
  
• Two letters of reference from academic supervisors or current employers to be sent via e-mail directly to Niyusha Samadi.