Research Associate on project ELSA
Posted: 7th December 2022
Department of Computer Science, Parks Road, Oxford
Research Associate on project ELSA (1)
Full time/Fixed term until 31st of August 2025
Grade 7: £34,308 - £42,155 p.a. with the potential to under-fill at Grade 6 with salaries in the range of £30,502 - £36,386 p.a.
We are looking for an outstanding candidate for this research on robust and certifiable machine learning under the supervision of Professor Marta Kwiatkowska.
You will be working with the "European Lighthouse on Secure and Safe AI" (ELSA) project (https://cispa.de/en/elsa), a virtual centre of excellence aiming to promote the development and deployment of cutting-edge AI solutions for security and safety. ELSA networks excellent researchers from 26 top research institutions and companies in Europe and is coordinated by the CISPA Helmholtz Center for Information Security in Saarbrücken.
Under the supervision of Professor Marta Kwiatkowska, you will develop techniques and software for designing robust and certifiable machine learning models, with the goal of developing novel solutions that enable scaling to more complex properties and neural networks. You will have responsibility for: carrying out research as outlined above, including software tool development; collaborating with ELSA consortium members and other members of her team if appropriate; and assisting with management of the project and project reporting, as required. The post holder will also have an opportunity to engage in teaching, and to provide guidance to junior members of the research group, including PhD and MSc students.
You should hold a PhD (or be close to completion) in computer science or related discipline and a proven track record of publications and software development in machine learning and neural networks, adversarial robustness and/or formal verification. You will lead on the research aspects of the project, exploring and defining the best way to approach the project goals. We would expect to find a range of publishable research outcomes to arise from this.
Applicants will be required to upload a supporting statement, setting out how you meet the selection criteria.
The closing date for applications is noon on 16th of January 2023. Interviews are expected to be held in January.
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