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Three-year, full-time, funded PhD Studentship Analysing and Testing AI Applications

Oxford Brookes University - School of Engineering, Computing and Mathematics

Qualification Type: PhD
Location: Oxford
Funding for: UK Students, EU Students, International Students
Funding amount: From £15,009 per annum (with no inflation increase) for 3 years
Hours: Full Time
Placed On: 8th December 2021
Closes: 1st February 2022

Start date: June 2022, or a September 2022 start is also possible          

Primary Supervisor: Professor Hong Zhu

The School of Engineering, Computing and Mathematics are offering a 3-year full-time PhD Studentship. It includes an annual bursary of £15,009 for three years (no annual increase) and fees up to the Home fee rate.

An international student awarded the studentship will be required to pay the difference between Home and International fee rates.   Please note, fees increase by 4% annually. The studentship has a start date of June 2022, or a September 2022 start is also possible.

Full Project Detail

The goal of the project is to develop a methodology and technology for analysing and testing AI applications. The research question is how to generate test cases, measure test adequacy and checking correctness in testing AI applications, especially machine learning (ML).

The successful candidate will be supervised by Professor Hong Zhu and Dr Ian Bayley and will expand existing work and conduct case studies. In particular, the student is expected to further develop the datamorphic testing methodology and the automated testing tool Morphy on at least one of the following aspects.

(a) Strategies for exploratory testing of non-feature-based ML applications, such as image recognitions, time series classifications, natural language processing, prediction models, etc.

(b) Analysing and measuring ML model’s performances based on exploratory test results.

(c) Interpretation and explanation of ML models through testing.

(d) Integration of exploratory and confirmatory testing.

The student is also expected to conduct case studies and controlled experiments with real ML applications to demonstrate and evaluate the effectiveness of the work.

Entry requirements

We are looking for a highly competent candidate to submit PhD thesis within 3 years. Candidates are expected to have at least an upper second-class degree (or equivalent) and/or Masters in a related subject (e.g. Computer Science, Software Engineering, and Artificial Intelligence).  They should demonstrate strong research skills and be fluent in spoken and written English. The selection criteria will focus on academic excellence and subject knowledge.

Bursary: £15,009 per annum (with no inflation increase) for 3 years

Fees:  Tuition fees at the Home rate will be paid by the University

An International student will be required to pay the difference between Home and International fee rates.  

Contact details

For informal enquiries, email Professor Hong Zhu at hzhu@brookes.ac.uk .

How to apply

Please apply directly to the university at: https://www.brookes.ac.uk/studying-at-brookes/how-to-apply/applying-direct/ quoting ‘Analysing and Testing of AI Applications’ in the title.

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