Senior Research Associate on Enabling Rapid Adoption of Artificial Intelligence through an Anonymised Data Protocol and Explainable Models

Department of Computer Science, Parks Road, Oxford.
Senior Research Associate on Enabling Rapid Adoption of Artificial Intelligence through an Anonymised Data Protocol and Explainable Models
Fixed term until 31 March 2021
Grade 8: Salary £40,792 – £48,677 p.a. (note: post may be under-filled at grade 7: £32,236 - £39,609 p.a.)

The Department of Computer Science has a vacancy for a Senior Research Associate on the "Enabling Rapid Adoption of Artificial Intelligence through an Anonymised Data Protocol and Explainable Models" project. This project is funded by InnovateUK and involves Genie AI, along with Withers, Barclays, The University of Oxford and Imperial College London. The project aims to develop an intelligent contract editor using novel machine learning algorithms. The editor, called “SuperDrafter,” processes confidential data to give previously unavailable insights to lawyers and make smart recommendations during drafting, negotiation and review.

As a member of Professor Marta Kwiatkowska’s research group, you will be building on her recent research on robustness and safety verification for neural networks in order to develop a suite of techniques to explain the accuracy of machine learning decisions and apply them to Genie AI’s machine learning clause recommendation engine.  Under her supervision, you will have responsibility for carrying out research into interpretability/explainability of machine learning decisions; robustness guarantees for recurrent neural networks; machine learning models for natural language processing (NLP); and application of the developed techniques to case studies provided by project partners, interacting and collaborating with them as necessary.

You will be expected to assist with management of the work package, to liaise with the project management team, and to be responsible for regular project reporting, as required. In addition to being able to gain experience of working with commercial clients, you will also have an opportunity to engage in teaching and to provide guidance to junior members of the research group, including PhD students and MSc students. More information about Professor Kwiatkowska’s research can be found at: http://www.cs.ox.ac.uk/marta.kwiatkowska/

You should hold a PhD in computer science, mathematics or related discipline together with post-qualification research experience, have sufficient specialist knowledge of and demonstrable experience in three or more of: foundations of machine learning, formal verification, optimisation, and natural language processing, and possess experience of software development in relevant areas, such as machine learning, verification and optimisation. Knowledge of machine learning models for NLP, familiarity with explainability/interpretability of AI, experience of project management and supervising staff, experience of managing a research budget, and experience of making grant applications are highly desirable.

Whilst the role is a grade 8 position, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at grade 7 (£32,236 - £39,609 p.a.) with the responsibilities adjusted accordingly (for Grade 7, you would be expected to hold a doctoral degree in Computer Science or be close to completion). This would be discussed with applicants at interview/appointment where appropriate.

For further details and to apply please visit:
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=141898

The closing date for applications is 12 noon on 2 August 2019.

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