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- Tasks: Lead projects in semantic technologies for fusion energy research and manage a small team.
- Company: Join UKAEA, a leader in fusion energy research with a collaborative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in cutting-edge research while developing your skills in AI and knowledge engineering.
- Qualifications: Experience in knowledge engineering and strong communication skills are essential.
- Other info: Work in a dynamic environment with opportunities to represent UKAEA internationally.
The predicted salary is between 51000 - 62000 £ per year.
The salary for this role is £56,596 (inclusive of a Specialist Allowance). Onsite working is expected for 2-3 days each week; however, we actively support requests for flexible working. This role is based at the following site: Culham, Oxfordshire. Please note that this role can also be based in Rotherham.
This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including The Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data.
We are looking for a Senior Knowledge Engineer to join our team. You will develop semantic technologies to support data-driven fusion energy research, creating and maintaining ontologies and knowledge graphs that connect experimental data, simulations, and scientific literature. You will responsibly apply generative AI tools, such as large language models, to accelerate ontology development and knowledge graph creation while maintaining high standards of provenance and transparency.
- Lead and deliver projects, ensuring milestones, outputs, and budgets are met, while identifying and pursuing new research and funding opportunities aligned with UKAEA's semantic data strategy.
- Manage a small team (1-3 staff) and supervise MSc and PhD students, supporting their development and delivery of high-quality research.
- Contribute to internal and external collaborative projects, representing UKAEA in national and international forums and partnerships.
- Share research outputs and support user adoption of semantic tools through reports, presentations, software releases, publications, meetings, and knowledge-sharing activities.
- Design, develop, and maintain modular, standards-aligned ontologies and scalable knowledge graphs for fusion research, integrating experimental, simulation, and textual data.
- Apply generative AI and large language models to accelerate ontology development and knowledge graph population, while ensuring strong provenance, explainability, and quality assurance.
- Enable semantic interoperability through ontology alignment, vocabulary mapping, data integration workflows, and automated validation, versioning, and deployment processes.
- Work closely with scientists, engineers, and software teams to deliver robust semantic solutions, produce clear technical documentation, and promote best practices in knowledge engineering.
- Build scalable semantic systems for collaborative research, contribute to research strategy, supervise early-career researchers, lead small projects and teams, and work closely with scientists and engineers to ensure solutions meet evolving research and industry needs.
You will bring strong organisation and time-management skills, including experience coordinating scientific or technical events, along with excellent written and verbal communication skills.
Senior Knowledge Engineer in Abingdon employer: UK Atomic Energy Authority
Contact Detail:
UK Atomic Energy Authority Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Knowledge Engineer in Abingdon
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Familiarise yourself with their work in semantic technologies and fusion energy research. This will help you tailor your answers and show that you're genuinely interested in the role.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in knowledge engineering and AI can contribute to their projects. Highlight your experience managing teams and delivering high-quality research to make a lasting impression.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the position. Plus, it keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Knowledge Engineer in Abingdon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Knowledge Engineer role. Highlight your experience with semantic technologies, knowledge graphs, and any relevant projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fusion energy research and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Communication Skills: Since this role involves collaboration and sharing research outputs, make sure to demonstrate your excellent written and verbal communication skills in your application. We want to know how you can effectively convey complex ideas to different audiences.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at UK Atomic Energy Authority
✨Know Your Stuff
Make sure you brush up on semantic technologies and knowledge engineering concepts. Be ready to discuss your experience with ontologies and knowledge graphs, as well as any generative AI tools you've used. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Leadership Skills
Since this role involves managing a small team, be prepared to share examples of how you've led projects or supervised others in the past. Highlight your ability to mentor MSc and PhD students, and discuss how you ensure high-quality research outputs.
✨Communicate Clearly
Excellent communication is key in this role. Practice explaining complex technical concepts in simple terms. You might be asked to present your previous work or research, so make sure you can convey your ideas clearly and confidently.
✨Be Ready for Collaboration
This position requires working closely with scientists and engineers. Think of examples where you've successfully collaborated on projects. Emphasise your ability to integrate feedback and work towards common goals, as this will resonate well with the interviewers.
