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EPSRC DTP Studentship - Data-driven and Learning Based Mechanics

University of Cambridge - Department of Engineering

Qualification Type: PhD
Location: Cambridge
Funding for: UK Students, EU Students, International Students
Funding amount: Not Specified
Hours: Full Time
Placed On: 10th November 2021
Closes: 1st February 2022
Reference: NM28793

The Engineering Department at the University of Cambridge invites applications for a fully-funded PhD position in deep learning / data-driven methods for multi-scale material systems, under the supervision of Dr. Burigede Liu. We are looking for highly motivated and talented candidates with a bachelor's or master's degree in Mechanical and Aerospace Engineering, Applied Mathematics, Computer Science, Civil and Environmental Engineering, or related fields. A strong background in solid mechanics, applied mathematics/computer science would be preferred. 

Applicants should have (or expect to obtain by the start date) at least a good 2.1 bachelor's degree in  Engineering, Applied Mathematics or Computer Science. 

The EPSRC DTP studentships are fully-funded (fees and maintenance) for eligible UK students. EU and international students may also be considered for this award.

To apply for this studentship, please send your CV to Dr Burigede Liu (BL377@cam.ac.uk). The review of applications will start immediately. To be given full consideration for admission in October 2022, please submit your CV by February 1, 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.graduate.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.

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