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Senior Researcher: Machine Learning for Intelligent Systems

Licensed sponsor Cambridge Full-time Posted 5 days ago

Develop and lead an original research programme in one or more areas: memory; reasoning and control; tools and computation; or relevant multi-agent algorithms and architectures. Contribute to the team's broader scientific direction through collaboration and the development of new research directions.

Advance rigorous and responsible approaches to intelligent systems, considering reliability, efficiency, transparency, privacy, and human oversight alongside capability. Disseminate research through peer-reviewed publications, conference presentations, open scientific engagement, and collaboration with the broader research community. Mentor interns and less experienced researchers, providing guidance and feedback on their research and development.

A PhD in Machine Learning, Computer Science, Mathematics, Statistics, or a related field. Deep expertise and a solid record of original research in one or more areas of AI or machine learning, such as statistical methods, optimisation, probabilistic modelling, reinforcement learning, deep learning and learning theory, evidenced by top-tier publications or equivalent research contributions.

Demonstrated ability to identify important research questions and independently drive research projects. Solid written and verbal communication skills, with the ability to explain complex ideas to a broad scientific audience and collaborate effectively across research areas and teams.

A sustained record of original, peer-reviewed research at leading venues in AI and machine learning, such as NeurIPS, ICML, ICLR, UAI or AISTATS. Research evidence in persistent memory, long-horizon planning, adaptive computation, formal or practical tool interfaces, verification, recovery, or agent evaluation.

Experience with reproducible benchmarks, evaluation harnesses, systems instrumentation, security, privacy, or safety research for AI agents. Evidence of developing an original research agenda, leading research projects or collaborations, and mentoring junior researchers.

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