University of Southampton
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2 weeks ago
PhD in Deep Learning Modelling of Nano Defects in Chip Fabrication University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Jun 1, 2027
Country
United Kingdom
University
University of Southampton

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About this position
PhD opportunity at the University of Southampton in Deep Learning Modelling of Nano Defects in Chip Fabrication.
This project sits at the intersection of computer science, electrical engineering, materials science, and physics, with a strong focus on deep learning, artificial intelligence, nanofabrication, and semiconductor manufacturing. The research aims to predict nanoscale defects before they occur in chip fabrication, helping improve yield, reduce development cycles, and make manufacturing more economical and sustainable.
You will work with experimental nanofabrication methods such as e-beam lithography, plasma etching, and material deposition, then collect microscopic and spectroscopic data and use AI/ML methods to build predictive models. The project also includes testing algorithms in real fabrication scenarios and exploring commercialisation opportunities with industry partners.
The work is based at the University of Southampton, with access to advanced cleanrooms, characterisation labs, and the IRIDIS supercomputing cluster. The post mentions collaboration with global leaders in chip manufacturing and exposure to semiconductor industry applications.
Funding: Competition funded PhD project. UK and EU students will have tuition fees paid and receive a tax-free living stipend. International applicants are welcome, but fee coverage for international students depends on additional faculty funding.
Eligibility: Applicants should hold a UK 2:1 honours degree or equivalent in electronic engineering, physics, materials science, computer science, or a related discipline. An English language qualification is required if applicable.
How to apply: Apply via the University of Southampton PhD application process. Select Research, 2026/27, Faculty of Engineering and Physical Sciences, choose full time or part time, search for programme PhD Electronic & Electrical Engineering (7092), and add the supervisor name in section 2. Include a research proposal, CV, two academic references, and transcripts/certificates.
Deadline: Tuesday, June 01, 2027.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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