- Application deadline: Midnight, 7 Dec 2022 - Salary: £37,467 - Duration: until November 2023

Applications are invited for the post of Post-Doctoral Research Assistant in the Computer Science Department at Royal Holloway, University of London.

The post holder will have an exciting opportunity to work on the EPSRC-funded "Verification of Hardware Concurrency via Model Learning" (CLeVer) project (EP/S028641/1), led by Prof. Alexandra Silva (UCL/Cornell) and Matteo Sammartino (RHUL), in collaboration with ARM, world-leading designer of multi-core chips.

For an informal discussion about the post, please contact Dr. Matteo Sammartino on matteo.sammartino@rhul.ac.uk.

# Brief description of the project

Digital devices are increasingly complex, therefore there is a pressing need to automate the assessment of their correctness. Formal verification provides highly effective techniques to assess the correctness of systems. However, formal models are usually built by humans, and as such can be error-prone and inaccurate.

The project aims to develop a novel verification framework for hardware, which combines learning, testing and model-checking. Not all models are suitable for this purpose and hence specific classes of models will need to be developed, depending on the task at hand. Subsequently, learning and verification techniques for these classes need to be devised and tested in realistic case studies. We have an industrial partner, ARM, that will provide valuable guidance on the design and development of the aforementioned tasks.

# The ideal candidate

We are looking for candidates with a PhD in one of the following areas: model-based testing and verification, model learning, automated analysis of hardware systems. Experience in multiple areas will be valued. Candidates ideally should also have strong programming skills.

# Where to apply

https://jobs.royalholloway.ac.uk/0922-411-R

Best wishes,

Matteo Sammartino

============================== Matteo Sammartino, Lecturer Royal Holloway University of London Department of Computer Science Tel.: (+44) (0) 1784 44 3690 Office: 2-07, Bedford Building https://matteosammartino.com/

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