Senior Research Associate on Reasoning in Enterprise Knowledge Graphs

We are pleased to announce an exciting opportunity at the Department of Computer Science for a Senior Research Associate on Reasoning in Enterprise Knowledge Graphs, part of the Learning, Applying, Multiplying Big Data Analytics (LAMBDA) collaborative project (https://project-lambda.org). Our focus at Oxford is on Enterprise Knowledge Graphs as one of the keys to big data analytics, bringing together machine learning, logic-based reasoning and big data processing. Knowledge Graphs are one of the fastest growing topics in computer science, with the vast majority of companies adopting or wanting to adopt Knowledge Graphs. LAMBDA is conducted in strong collaboration with the VADA project, under the leadership of Prof. Georg Gottlob FRS.

This role is a unique opportunity to participate in all aspects of the LAMBDA project from the very beginning, from research in the area of logical reasoning in enterprise knowledge graphs, creating teaching material and courses, and working on demonstrations and uses cases of applications together with the partners of LAMBDA. This will include frequent international cooperation across Europe. It will also allow for a tightly integrated cooperation with the VADA project at Oxford and its Enterprise Knowledge Graphs system VADALOG.

You will have a PhD in a relevant area of science or related discipline, proven experience in Datalog or rule-based logical reasoning, and an excellent systems design and implementation background or excellent background in database theory and logic. Experience in database theory, database or information systems implementation, or experience or strong interest in applying machine learning systems and techniques is 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.

The closing date for applications is 12 noon on 20 February 2019. Interviews are expected to be held on 6 March 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.