Research Associate - Unlocking the Potential of AI for English Law
Department of Computer Science, Parks Road, Oxford.
Grade 7: £32,236 - £39,609 p.a.
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_details_form.jobspec?p_id=140024
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 5 April 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.
<https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_details_form.jobspec?p_id=140024>
Contact Person : Recruitment Team Vacancy ID : 140024
Contact Phone : Closing Date : 05-Apr-2019
Contact Email : recruitmentenquir...@cs.ox.ac.uk
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