The Department of Computer Science is seeking to recruit a Research Fellow onto the SCHEME - Safety Critical Harsh Environment Microprocessing Evolution project, which is co-funded by InnovateUK and by partners from the UK civil avionics industry. The Department of Computer Science of the University of York leads two strands of work in SCHEME: This position is for the Real-Time and Distributed Systems strand.
You will be classed as a full-time researcher, however, opportunities will be available to help grow your experience to help secure a future position, including in academia.
The work will extend currently operating test rigs that feature both simulation and physical hardware. These rigs will be used to understand and analyse real software executing on networked multicore processors featuring both traditional safety-critical software and machine learning. The two roles will involve: verification and validation and machine learning in the design and assurance of safety-critical mixed-criticality scheduled systems; and the use of statistical techniques to learn and assure network-based systems forming a Digital Twin of the system.
PhD in Computer Science or equivalent experience
First degree in Computer Science or related subject
Knowledge in Computer Science (or Related) to engage in high quality research
Knowledge of embedded real-time systems
Highly developed communication skills to engage effectively with a wide-ranging audience, both orally and in writing, using a range of media
Ability to lead and/or take responsibility for a small research project or identified parts of a large project
Ability to develop research objectives, projects, and proposals for own and joint research
Well-developed analytical skills
Collaborative ethos
Interview date: To be confirmed
For informal enquiries: please contact Xiaotian Dai, xiaotian.dai@york.ac.uk
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