EPSRC ICASE Studentship – Manufacturing Data Capture, Data Analysis and AI to Support Digital Twin Roll-Out
Department of Engineering, Cambridge
The studentship aim is to investigate the data capture, data analysis and AI systems Siemens Energy require to support their development of product based digital twins for use in their gas turbine manufacturing, assembly, and certification activities. By development of the digital twins, Siemens Energy is looking to gain a deeper understanding of its manufacturing and assembly processes.
Through a deeper understanding of its processes Siemens Energy want to increase product quality and consistency and hence the productivity and sustainability of its operations. Using the Digital Twins to facilitate better data driven decisions on the acceptability of part dimensional conformance and on part performance during the manufacture, assembly and test of its gas turbines, Siemens Energy will reduce lost time, reduce the number of parts needing to be rejected or reworked and avoid failed certification tests.
Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in an Engineering or related subject.
The EPSRC ICASE studentships are fully-funded (fees and maintenance) for eligible UK students. EU and international students may be considered for a small number of awards at the UK rate. Full eligibility criteria can be found via the following link;https://www.ukri.org/councils/epsrc/career-and-skills-development/studentships/industrial-case/
To apply for this studentship, please send your two page CV to Professor Ajith Parlikad to arrive no later than 15 March 2022.
Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately for admission through the University’s Postgraduate Admissions application portal; this can be done before or after applying for this funding opportunity. Note that there is a £75 fee for PhD applications. The applicant portal can be accessed via: www.postgraduate.study.cam.ac.uk/courses/directory/egegpdpeg. The funding is conditional on submitting this application before 31 March 2022.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.