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- Tasks: Join our team to research neuro-symbolic AI and create trustworthy information resources.
- Company: King's College London, a leading institution in computer science and AI research.
- Benefits: Competitive salary, potential for part-time work, and opportunities for contract extension.
- Other info: Diverse and inclusive culture, with excellent career growth and community engagement opportunities.
- Why this job: Make a real impact in AI while collaborating with top researchers in a dynamic environment.
- Qualifications: PhD in computer science or related field, with expertise in semantic technologies and AI.
The predicted salary is between 44105 - 51485 £ per year.
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 processes 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
Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.
At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university.
The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension.
We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description.
Grade and Salary: £44,105 to £51,485 per annum inclusive of London Weighting
Post-Doctoral Research Associate, Informatics employer: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post-Doctoral Research Associate, Informatics
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of AI and informatics. Attend relevant events, workshops, or even online webinars to meet potential collaborators or mentors who can help you land that post-doc position.
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your research, publications, and any projects related to semantic technologies and machine learning. This will give you an edge during interviews and discussions with potential employers.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues to refine your responses to common questions in the research field. Focus on articulating your experience with neuro-symbolic AI and generative techniques clearly and confidently.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s a great way to ensure your CV and supporting statement are seen by the right people at King’s College London.
We think you need these skills to ace Post-Doctoral Research Associate, Informatics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in semantic technologies and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and publications!
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Use it to explain how you meet the essential criteria listed in the job description. Be specific about your experiences and how they relate to the research areas we’re focusing on.
Show Off Your Teamwork Skills: We love collaboration at StudySmarter! Make sure to mention any teamwork experiences, like co-authored papers or organised events. This will show us that you can thrive in our dynamic research environment.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and the application process there.
How to prepare for a job interview at Euraxess
✨Know Your Stuff
Make sure you brush up on semantic technologies and machine learning concepts. Be ready to discuss your experience with knowledge graphs, large language models, and generative AI techniques. The interviewers will likely want to hear about your practical applications of these technologies.
✨Showcase Your Research Impact
Prepare to talk about your previous publications and how they contribute to the field. Highlight any open science practices you've engaged in, as well as your involvement in community-building events like workshops or hackathons. This shows that you're not just a researcher but also an active participant in the academic community.
✨Team Player Vibes
Since you'll be working closely with a team, it's essential to demonstrate your teamwork skills. Share examples of collaborative projects, co-authored papers, or events you've organised. This will help convey that you're someone who thrives in a group setting and can contribute positively to the DAI group.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. This could be about their current research projects, the team's dynamics, or future directions for the DAI group. Asking questions shows your genuine interest in the role and helps you assess if it's the right fit for you.