A new vacancy has arisen for a Research Associate in “Unlocking the Potential of Artificial Intelligence (AI) for English Law”. This project is interdisciplinary, involving colleagues from Computer Science, Economics, Education, Law, Social Policy, and the Saïd Business School, who will be working together with a range of private-sector partners.
As a member of Professor Thomas Lukasiewicz’s research group, you will be responsible for carrying out research towards exploring the frontiers of AI in legal reasoning (in particular: intelligent search in AI for law; legal information extraction; and AI-based legal analytics and reasoning). In doing so, you will collaborate both with Professor Lukasiewicz and the other Principal Investigator, Professor John Armour in the Faculty of Law. You will also provide guidance to junior members of the research group, including PhD students, MSc students, and/or project volunteers. You are also expected to interact with Principal Investigators and researchers undertaking other work packages in the research grant.
You will hold a PhD/DPhil (or be close to completion) in computer science, mathematics, statistics, engineering, computational linguistics, or related discipline, together with relevant experience, and possess good (theoretical and programming) background in machine learning, knowledge representation and reasoning, and data science (desirably in deep learning and neural networks, deep-learning-based representations, knowledge bases and graphs, ontology languages, natural language processing, information retrieval, data extraction, and data analytics), as well as good software engineering skills (especially in system implementations and experimental evaluations). A prior background in working with legal data is highly desirable.
The closing date for applications is 12.00 noon on 3 January 2019.
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.
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