PhD Candidateship in Data-driven mechanics | |
Published | |
Closing Date | |
Workplace | Cambridge, East of England, UK |
Category | |
Position | |
Mechanical properties of materials are usually measured by simple one-dimensional tests. The growing field of data-driven mechanics requires development of experimental methods to obtain large quantities of multi-axial data from a single test. To complement this data is the requirement to develop computational methods that can deal with the inevitable measurement noise. We are starting a new project with the aim to use: (i) lab-based flux enhanced tomography for full field measurement of deformation fields and X-ray diffraction measurements of elastic strains, and (ii) associated data-driven material model discovery techniques. These coupled measurements and machine learning techniques are expected to form an important element in the field of data-driven mechanics. We are looking for a PhD candidate to join the project to work alongside post-doctoral associates and our partner universities in the US. Applicants should have (or expect to obtain by the start date) at least a high 2.1 degree (preferably a first or its equivalent) in Engineering, Physics or related subject. A strong interest in multi-physics modelling and/or experimental methods is essential. This studentship is open to both home and overseas applicants. To apply for this studentship, please fill in a CHRIS6 coversheet ?url=https%3A%2F%2Fwww.hr.admin.cam.ac.uk%2Fforms%2Fchris6-cover-sheet-cvs&module=jobs&id=251869" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.hr.admin.cam.ac.uk%2Fforms%2Fchris6-cover-sheet-cvs&module=jobs&id=251869" target="_blank" rel="nofollow">https://www.hr.admin.cam.ac.uk/forms/chris6-cover-sheet-cvs and send it with a two-page CV and a cover letter to Hilde Hambro hh463cam.ac.uk to arrive no later than 15 November 2024. Applications may close early if the position is filled before this date. Please note that any offer of funding will be conditional on securing a place as a PhD candidate. Candidates will need to apply separately for admission through the University’s Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. The applicant portal can be accessed via: ?url=www.graduate.study.cam.ac.uk%2Fcourses%2Fdirectory%2Fegegpdpeg&module=jobs&id=251869" target="_blank" rel="nofollow">?url=www.graduate.study.cam.ac.uk%2Fcourses%2Fdirectory%2Fegegpdpeg&module=jobs&id=251869" target="_blank" rel="nofollow">www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg Please put Professor Vikram Deshpande as the supervisor on the form. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. Department/LocationDepartment of Engineering, Cambridge ReferenceNM43077 CategoryStudentships Published28 August 2024 Closing date15 November 2024 | |
In your application, please refer to myScience.uk and reference JobID 251869. |
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