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Masters Compare - Find your perfect masters course.
Deadline: 1 April 2024
Wales
Closing date: 1 April 2024
Funding providers: Swansea University’s Faculty of Science and Engineering and KLA
Subject areas: Computer Science / Electrical Engineering / Physics
Project start date:
Supervisors:
Aligned programme of study: PhD in Electronic and Electrical Engineering or Computer Science
Mode of study: Full-time
Project 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.
This PhD project requires a highly motivated student with a Physics, Computer Science or Electrical Engineering background (or similar discipline).
Further project description for RS576
Centre for Integrative Semiconductor Materials (CISM)
For more details please see here: https://www.swansea.ac.uk/postgraduate/scholarships/research/science-engineering-su-kla-phd-metrology-2023-rs576.php
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 our comparison entry requirements (see country specific qualifications). Please note that you may need to provide evidence of your English Language proficiency.
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.
If you have any questions regarding your academic or fee eligibility based on the above, please email pgrscholarships@swansea.ac.uk with the web-link to the scholarship(s) you are interested in.
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.
To apply, please complete your application online with the following information:
1. Course choice – please select Computer Science or Electronic and Electrical Engineering / PhD / Full-time / 3 Years / July (or October)
In the event you have already applied for the above programme previously, the application system may issue a warning notice and prevent application, in this event, please email pgrscholarships@swansea.ac.uk where staff will be happy to assist you in submitting your application.
2. Start year – please select 2024
3. Funding (page 8) –
*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.
We encourage you to complete the following to support our commitment to providing an environment free of discrimination and celebrating diversity at Swansea University:
As part of your online application, you MUST upload the following documents (please do not send these via email). We strongly advise you to provide the listed supporting documents by the advertised closing date, where possible:
Informal enquiries are welcome, please contact Professor Mike Jennings (m.r.jennings@swansea.ac.uk) / Professor Owen Guy (o.j.guy@swansea.ac.uk).
*External Partner Application Data Sharing – Please note that as part of the scholarship application selection process, application data sharing may occur with external partners outside of the University, when joint/co- funding of a scholarship project is applicable.
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.
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