Research Associate at The Alan Turing Institute

Zaburi Host Limited; London; Hybrid; GBP 46,000; Full time

Job summary

An established industry player is seeking passionate and innovative researchers to contribute to advancing data science and AI research. This role involves conducting high-quality research, collaborating with industry partners, and engaging with the public on AI ethics. Ideal candidates will possess a strong quantitative background and a PhD (or near completion) in a relevant field. Join a dynamic team dedicated to reducing emissions and fighting climate change through innovative data-centric engineering approaches. This is a unique opportunity to make a meaningful impact while working in a multidisciplinary environment.

Qualifications

• PhD (or near completion) in a relevant technical or scientific discipline.
• Strong quantitative background with experience in AI/ML preferred.

Responsibilities

• Conduct high-quality research in AI/ML/Data Science.
• Collaborate with industry to deploy innovative approaches.
• Publish and disseminate research outputs.

Skills

AI

Machine Learning

Data Science

Data Engineering

Reinforcement Learning

Multi-Agent AI

Excellent Communication Skills

Education

PhD in a relevant technical or scientific discipline

Job description

Location: London
Salary: £45,505
Hours: Full Time
Contract Type: Fixed-Term/Contract
Closes: 26th May 2025
Job Ref: 53495

The Alan Turing Institute

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work. We need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to advance data science and AI research to change the world for the better.

Environment & Sustainability Grand Challenge - Sustainability Mission

With the increasing urgency of climate change and the challenge of keeping global temperatures below +1.5°C, we must act now. AI offers methods to reduce emissions and fight climate change immediately.

Our mission is to support transport and infrastructure to reduce emissions. In collaboration with Lloyds Register Foundation, we have developed Data-Centric Engineering approaches to integrate Data Science, Machine Learning, and AI into transport and infrastructure sectors.

We welcome candidates with diverse skills who are interested in creative thinking, developing their own research ideas, and engaging with others' ideas. We prioritize technically strong researchers eager to ask bold new questions.

Duties and Responsibilities

1. Conduct high-quality research in AI/ML/Data Science.
2. Collaborate with industry to deploy innovative approaches.
3. Potentially undertake secondments to acquire new skills and embed research into industry.
4. Engage the public and government on AI/ML/Data Science issues, especially ethics and responsibility.
5. Publish and disseminate research outputs.
6. Build strong relationships with stakeholders.

Person Specification

1. PhD (or near completion) in a relevant technical or scientific discipline.
2. Strong quantitative background, with experience in Multi-Agent AI, Reinforcement Learning, and Large Language Models preferred.
3. Interest or knowledge in AI, Machine Learning, Data Science, and Data Engineering.
4. Experience in publishing research papers, code libraries, and technical reports.
5. Excellent written and verbal communication skills.
6. Ability to collaborate in a multidisciplinary environment.

Please visit our portal for a full job description.

Terms and Conditions

Employee benefits information is available on our website. Candidates who have not yet completed their PhD will be appointed as Research Assistants with a salary of £45,505 per annum.

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to the office at least 4 days per month; some roles may require more, to be confirmed during the interview.

Application Procedure

Visit our jobs portal for application details and the interview process.

Equality, Diversity, and Inclusion

We are committed to accessible and inclusive recruitment, including reasonable adjustments for candidates with disabilities or long-term conditions. Please contact us for assistance.