Post-Doctoral Research Associate, Informatics

Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Final date to receive applications 20 Feb 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

About us:

We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies.

About the role:

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 and agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process for knowledge workers to better organise knowledge bases and maintain the integrity of their information.

The post holder will work closely with Prof Elena Simperl and a team of 15+ researchers and PhD students in the area of human-centric AI. 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 be expected to support impact creation activities, including hackathons, workshops, tutorials and to actively contribute to ongoing AI standardisation efforts such as MLCommons Croissant.

The research and innovation outputs will inform work undertaken in the group in several large collaborative grants and application areas, including arts and culture, enterprise data management, 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
* conferences and journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with semantic technologies and neuro-symbolic AI, in theory and practice, is 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 18 months provided funding is available.

About you:

To be successful in this role, we are looking for candidates to have the following skills and experience:

• PhD in computer science, AI or related area
• Proven experience of semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL
• Proven experience with predictive and generative AI
• Practical experience in using large language models, generative AI techniques, prompt engineering
• Proven record of A/A
  * scientific publications and open science/FAIR practices
• Teamwork skills demonstrated e.g. through project work, organisation of joint events, co‑authored papers etc.
• Time management and organisational skills, including experience in organising small scientific workshops and similar
• Familiarity with the design of AI enabled tools, AI assistants, and agentic AI
• Familiarity and contributions to Wikipedia and/or Wikidata
• Understanding and practical experience with FAIR and open science practices
• Familiarity and contributions to AI or web standards
• Experience in scientific communication for non‑academic audiences
• Familiarity with one or more of these application domains for neuro‑symbolic AI: law, arts and culture, enterprise data management
• Track record of organising dissemination and community building events e.g. workshops or tutorials co‑located with academic conferences

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page…