New Industry 4.0 technologies such as cyber-physical systems, internet of things, big data, and digital twins are radically altering the way that manufacturing systems are designed and production is performed. This project would focus on the development of methods for modelling and optimizing the design of smart manufacturing systems for Industry 4.0. The project would specifically focus on the development of smart manufacturing systems for product personalization. The development of novel design solutions for manufacturing systems configurations, task allocation, and product sequencing would form the basis of this project. In addition, new algorithms for more robust and real-time manufacturing systems design solutions would be pursued. Development of techniques for manufacturing systems representation through the use of data analytics would also form part of this project.
The project would be conducted in the Department of Mechanical, Aerospace, and Civil Engineering at the University of Manchester. The department offers a range of funding opportunities which students can access to support their doctoral studies. Government funding agencies, and charitable organizations also offer several sources of funding for Ph.D. programmes. Additional information can be found at the Career Centre website.
Applicants should have or expect to achieve at least a 2.1 honours degree in Mechanical and or Manufacturing Engineering although other physics-based engineering degrees such as Aerospace or Civil Engineering would be applicable. Students interested in this project should forward a copy of their CV and a brief statement to Dr. A. Bryan at firstname.lastname@example.org. The statement, which should not exceed one page, should include an explanation of the student’s research interests and an explanation of how their experiences and background make them a suitable candidate for this project.
Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).