Post-Doctoral Researcher, PhD, DeepMind, 2026 Start (Fixed-Term Contract)

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  In the “Resume Section:” attach an updated CV or resume. Please ensure you include the following in it, all consolidated in a single PDF:

• Research work: Projects, Publications, Research experience and References (if any)

• Statement of purpose (no more than 500 words), detailing reasons for your interest in the Post-doctoral Researcher role.

• Please ensure you’ve listed your graduation date (in MM/YY)

• In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending/Graduated” to upload a transcript.

The Post-doctoral Researcher role is a 12 to 24-month role designed to explore challenging problems for pushing frontiers of AI, while collaborating with DeepMind scientists and engineers. Your role will entail conducting human-computer interaction (HCI) research on how people interact with, oversee, and provide feedback to increasingly autonomous AI agents, designing and building novel interfaces and interaction techniques for human-agent collaboration, and evaluating them through rigorous user studies. Insights from your work will inform how agents learn from human feedback and remain safe and aligned with human intent, with potential application to products that might have a positive impact on billions of users.

At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence, and fulfill our mission of building AI responsibility to benefit humanity. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

In particular, our AQUA team at DeepMind India works at the frontier of AI agents, focusing on autonomous self-improvement, reinforcement learning, and the safety and alignment of agents. We build agents that continually improve themselves by learning from their own experience, interactions, and feedback, and we develop methods to ensure that increasingly capable and autonomous agents remain safe, reliable, and aligned with human intent and values. We aim to bring our research into Google's cutting-edge models and products, while also disseminating our findings through publications at top ML conferences/journals.