Post Doc Research
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science
In short
Microsoft Research Cambridge is seeking a Postdoctoral Researcher for their Machine Intelligence team, focusing on foundational AI/ML research including learning algorithms, model architectures, and efficient AI. The role involves developing an original research program, collaborating with experts, and disseminating findings through publications and presentations.
Responsibilities
- Develop an original research program to advance fundamental understanding or methodology in modern artificial intelligence.
- Formulate and investigate research questions using theoretical analysis, algorithm/architecture design, or empirical study.
- Derive, design, implement, validate, and iterate on new architectures through controlled and large-scale scaling experiments.
- Collaborate with researchers on model efficiency, reasoning systems, learning algorithms, and large-scale experimentation.
- Pursue an independent research program and contribute to the team's broader scientific direction.
- Disseminate research through peer-reviewed publications, conference presentations, and open scientific engagement.
Requirements
- A PhD (completed or near completion) in Machine Learning, Computer Science, Mathematics, Statistics, or a related field.
- Expertise in one or more sub-fields of AI/ML, evidenced by top-tier publications and/or experience.
- A strong record of original, peer-reviewed research published at leading venues in AI, machine learning, or theory (e.g., NeurIPS, ICML, ICLR, COLT, STOC, FOCS, SODA).
Desired Qualifications
- Expertise in areas relevant to theoretical and/or practical aspects of modern foundation models (optimization, training dynamics, LLM architecture, representation learning, attention mechanisms, test-time computation/training, reasoning, memory, adaptation, agentic interaction, efficiency, scaling, machine learning theory).
- Demonstrated ability to formulate, investigate, and iterate challenging research questions independently.
- Excellent written and verbal communication skills, with the ability to explain complex ideas to a broad scientific audience.
- Hands-on experience designing, implementing, training, and evaluating AI/ML models using a modern framework such as PyTorch or JAX.
- We value depth, originality, and transferable skills in a candidate's chosen area.
- Welcome candidates whose primary contributions are theoretical, empirical, or methodological.
Benefits
- Base pay of £6,655.00 per month.
- Certain roles may be eligible for benefits and other compensation.
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