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EURAXESS

Postdoctoral Research Associate - (Data-Centric and Responsible AI)

Times Higher Education
9 Apr 2024

Job Information

Organisation/Company
KINGS COLLEGE LONDON
Research Field
Architecture
Engineering
Researcher Profile
Recognised Researcher (R2)
Established Researcher (R3)
Country
United Kingdom
Application Deadline
Type of Contract
Other
Job Status
Full-time
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

We are seeking to appoint a postdoctoral research associate with an excellent track record in knowledge graphs and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models,  graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation, knowledge engineering.  

The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but also process blueprints and guidance for knowledge engineers to use generative AI tools productively.

The post holder will work closely with Prof Elena Simperl and Dr Albert Meroño Peñuela and a team of 10 researchers and PhD students in the area of knowledge graphs. The role covers research in the areas mentioned above, as well as the production of scientific publications and application showcases to drive research impact. The researcher will also be expected to support the organisation of research hackathons in prompt engineering for knowledge engineering, aligned with the activities of the Knowledge Graph Interest Group at the Alan Turing Institute. The research outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance.

The ideal candidate will have solid expertise in the technical areas mentioned earlier, as well as a proven track record of scientific excellence (through publications in A and A* journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with ontology engineering methodologies, in theory and practice, is a bonus, but not a firm requirement.

The post is full-time, but we can discuss part-time options in exceptional circumstances. There is also the option to extend the contract beyond the 12 months provided funding is available. 

This post will be offered on an fixed-term contract for 12 months 

This is a full-time post - 100% full time equivalent

Requirements

Additional Information

Work Location(s)

Number of offers available
1
Company/Institute
KINGS COLLEGE LONDON
Country
United Kingdom
City
London (Greater) (GB)

Contact

City
London (Greater) (GB)