We are seeking a highly-motivated Postdoctoral Research Associate to work with Dr Radu Calinescu on the project ‘Assurance of Deep-Learning AI Techniques’. The project aims to make significant contributions to the development of safe AI techniques for robotics and autonomous systems (RAS), and is part of the 'Assuring Autonomy International Programme’ (https://www.york.ac.uk/assuring-autonomy/), a £12 million initiative funded by Lloyd’s Register Foundation and the University of York to spearhead research, training and standards in the safety of RAS.
You will develop methods for restricting AI approaches to ensure the learnt behaviour is safe; augment AI techniques used by RAS with the ability to expose information about the learnt behaviour; and devise assurance methods for deep-learning AI techniques. You will validate the project deliverables via demonstrators developed with the collaboration of project partners from academia and industry. You will disseminate the project results through publications, seminar and conference presentations and public engagement and outreach activities; and you will contribute to their integration into a future Body of Knowledge comprising state-of-the-art techniques, methods and processes for the engineering, assurance, regulation, deployment and operation of RAS.
You will have a first degree in Computer Science (or a related subject), and a PhD in Computer Science (or equivalent experience), with significant study and research components in both machine learning and probabilistic modelling and analysis, and a good understanding of research techniques and methodologies. You will have a good understanding of deep learning and reinforcement learning algorithms and tools, and of software or systems verification and validation techniques. Ideally, you will have an understanding of formal methods and probabilistic model checking. You will also have excellent algorithm design and software development skills, software or systems verification skills, highly developed communication skills, and experience of developing software components and tools. You will have the ability to write up research work for publication in high profile journals; to engage in public dissemination; and to develop research objectives, projects and proposals for your own and joint research, with the assistance of a mentor.
Essential personal attributes for this position include attention to detail and commitment to high quality, collaborative ethos, interest in and enthusiasm for the subject matter of the project, positive attitude to colleagues and students, and ability to plan and prioritise your own work in order to meet deadlines. You will have experience of carrying out both independent and collaborative research, and of writing up research work for publication in high-quality venues; and ability to work as part of a team, as well as independently using own initiative.
Salary is in the range £31,604 - £38,832 a year (Grade 6). This post is full time (37 hours a week) and is fixed term for 3 years. You will be based at the University of York, Heslington Campus East.
Closing date: 1 March 2018
Interview date: 20 or 21 March 2018
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