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Research Assistant in Validation of Machine Learning Systems

Posted: 15th August 2019

Department of Computer Science, Wolfson Building, Parks Road, Oxford.

Research Assistant in Validation of Machine Learning Systems.

Fixed-term for up to 1 year.

Grade 6: £28,660 to £34,189 p.a.

The Department of Computer Science has a new vacancy for a Research Assistant in Validation of Machine Learning Systems.

You will provide practical, hands-on research, technical support, and research assistance to funded research projects being led by Professors Kroening and Melham in the Department of Computer Science. The projects involve fundamental and applied computer science research, and are industry-facing. The main duty will be application of automated reasoning and/or testing to the analysis of Machine Learning Systems.  You will be a full member of the research groups of Professors Melham and Kroening and have opportunities to publish and develop your research skills.

The primary selection criteria are a first degree in Computer Science, together with relevant experience, sufficient specialist knowledge in the discipline to work within the research programmes, the ability to manage your own research and administrative activities, and excellent communication skills.  Experience of working in a research team, contributing ideas for new research projects, and of contributing to reports and articles for publication is highly desirable.

The post is fixed-term for up to 1 year.

The closing date for applications is 12 noon on Thursday 22nd August. For further details and to apply please visit: https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=142382

Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave.