Research Associate On Project Elsa

3 weeks ago


Oxford, United Kingdom University of Oxford Full time

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.

**We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.



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