4.1 Read 98 reviews
Featured bySwansea University
Overview
Scholarship type
Merit based
Number of scholarships to award
Multiple
Grant
Full tuition waiver + £18,622
Scholarship coverage
- tuition fee reduction
- other
Description
This PhD project will harness the power of Artificial Intelligence for application in semiconductor technologies.
The automotive semiconductor market, valued at $35 billion in 2020, is thriving due to the surge in Electric, Hybrid, and Autonomous Vehicles. To sustain this growth, achieving defect-free semiconductor devices with yields exceeding 90% is imperative. The industry anticipates a 98% efficacy boost through AI adoption, particularly in automated inspection and defect recognition. Over the next decade, AI is poised to revolutionize the semiconductor sector, enhancing quality control and yield.
Critical to this transformation is KLA, the global premier metrology company specializing in chip and substrate manufacturing applications. KLA's systems, encompassing design-manufacturability verification, new process characterization, and manufacturing process monitoring, ensure precise measurement of various parameters, enabling tight process control for improved performance and yield. The collaboration with KLA aims to integrate wafer production and metrology for advanced semiconductor materials like Silicon Carbide and Gallium Nitride. Device manufacturing, using these materials, comprises processes including wafer production, photolithography, insulator growth, deposition, etching and metal deposition). Each process step has variables, which can lead to defects.
Applicable programmes
Benefits
This scholarship covers the full cost of UK tuition fees and an annual stipend at UKRI rate (currently £18,622 for 2023/24).
Additional research expenses will also be available.
Eligibility
- Candidates must hold 1) an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University), OR 2) an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University) in Engineering or similar relevant science discipline.
- If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check their comparison entry requirements.
- Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations.
Scholarship requirements
Disciplines
Engineering & Technology
Locations
United Kingdom
Nationality
Any
Study experience required
Master
Age
Unknown
Application
Application deadline
01 Apr 2024
To apply, please complete your application online with the following information:
Course choice – please select Computer Science or Electronic and Electrical Engineering / PhD / Full-time / 3 Years / July (or October)
Start year – please select 2024
Funding (page 8) –
‘Are you funding your studies yourself?’ – please select No
‘Name of Individual or organisation providing funds for study’ – please enter ‘RS576 - Semiconductor Materials’
*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.
One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.