Research Associate in Safe AI Systems

university of york - computer science

This role involves researching the design and assurance of AI systems from various perspectives, building on existing safety guidelines.

Last checked on August 20, 2026. We may earn a commission when you click through.

✓ Engaging research environment ✓ Collaboration with experts ✓ Potential for impactful contributions

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Research Associate in Safe AI Systems

university of york - computer science

Updated 28 days ago

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India

This position is ideal for those passionate about AI safety and research but may not suit individuals looking for a career path or immediate results.

About this role

This role involves researching the design and assurance of AI systems from various perspectives, building on existing safety guidelines.

About the Company

The University of York's Computer Science department is known for its innovative research and commitment to advancing technology.

Key Highlights

✓ Focus on safe AI in complex environments.
✓ Engage with engineering and sociotechnical viewpoints.
✓ Opportunity to contribute to cutting-edge research.

💡 Honest Take: While the role sounds promising, candidates should be prepared for a highly competitive selection process, as the field is rapidly evolving. Networking within academic circles may provide an edge.

Pros

✓ Engaging research environment
✓ Collaboration with experts
✓ Potential for impactful contributions

Cons

✗ High competition for positions
✗ No salary disclosed
✗ Remote work not an option

Best For: Recent graduates or researchers eager to explore safety in AI systems and contribute to academic knowledge.

Watch Out: Be aware that the application process can be rigorous and may require significant networking and academic credentials.

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What Customers Say

Current and past employees appreciate the research focus but highlight the competitive nature of the application process.

Expert Review

This role at the University of York offers engage in the vital area of AI safety. Candidates will need to demonstrate a solid understanding of complex systems and sociotechnical dynamics. If you thrive in a research-focused environment, this could be a rewarding fit.

The emphasis on a whole-systems approach means that applicants should be prepared to think critically and creatively about AI design and assurance. Given the absence of disclosed salary information, potential candidates should also consider their financial expectations before applying. Students or fresh graduates might find it challenging to secure a position due to the high competition; thus, building a strong academic network could be crucial.

Overall, this position is those deeply invested in the ethical implications of AI and willing to navigate the academic landscape.