Fully Funded PhD Scholarship at Oxford Brookes University

Nationally, Oxford Brookes University is one of the Top 50 universities. Worldwide, it is one of the topmost youngest universities established.

Host Country: Oxford, England

Host University: Oxford Brookes University

Name of the scholarship: Fully Funded PhD Studentship in AI/ML Assisted Integrated Circuit Verification Framework with Infineon Technologies

Degree Level: PhD

Benefits:

• Duration: 3 years.
• Bursary: £17,363 per year, increasing by inflation
• Fees: Tuition fees paid by the university; top-up by Infineon Technologies.
• Equipment/Conference Fees: £2,000; top-up by Infineon Technologies.

Program:

• Faculty of Technology, Design and Environment
• This project, in collaboration between Infineon Technologies and the Advanced Reliable Computer Systems Group at Oxford Brookes University, will investigate AI/ML assisted fast and efficient solutions to the problem of IC verification, one of the most difficult steps in an IC’s design cycle. 
• With ICs exceeding billions of transistors, the costs of tests and verification are often over half of the total cost of the entire design. 
• This project will investigate and identify which test/verification components will most likely benefit from AI/ML algorithms, and identify the most effective types of AI/ML algorithms. 
• AI/ML based solutions will be developed for significant reduction in verification costs, while maintaining the highest degree of accuracy and reliability. 
• The outcome will be evaluated against existing approaches for their effectiveness and pathways will be provided for integration into existing verification frameworks. 
• This project is expected to significantly expand the fields of Electronic Design Automation and AI.

Eligibility Criteria:

• Master’s degree in one of: Computer Science/ Engineering/Informatics/Microelectronic/VLSI Design or a related discipline.
• Excellent programming skills, preferably C/C++ and Python; familiarity with matlab.
• Good understanding of computer architecture and machine learning techniques.
• Willingness to learn and quickly pick up state-of-the-art professional EDA tools.
• Competency in presenting, writing, and communicating ideas. Willingness/ability to work with our industrial collaborator.
• Passion and commitment for research.

Desirable selection criteria:

• A background in: simulation/model based test/verification.

Application Deadline: 8 June 2022

Application Link: 

Interested applicants can check this link for details - https://cutt.ly/aJpqmg3