Postdoctoral Researcher (Foundational AI: Intelligent Systems)

MicrosoftCambridge, EnglandOn-siteFull-timeStaff, 8–12 yearsListed 4 days ago

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About this role

<b>Overview</b><br><div><p><span style="font-size: 10pt;"><span>The Machine Intelligence team at Microsoft Research Cambridge conducts foundational machine learning research across learning algorithms, model architectures, intelligent systems, and efficient AI.</span><span> </span></span></p></div><div><p><span style="font-size: 10pt;"><span>We are seeking Postdoctoral Researchers for our programme of integrated intelligent systems.  </span><span>The roles will investigate memory, reasoning and control, and tool-integrated computation, with optional work on directly relevant multi-agent learning or architectures. Researchers will develop and evaluate new mechanisms for long-horizon, reliable, and governable AI agents.</span></span></p><ul><li><span style="font-size: 10pt;"><span><span><strong>Contract Length: </strong>2 Years</span></span></span></li><li><span style="font-size: 10pt;"><span><span><strong>Location: </strong>Cambridge, UK</span> </span></span></li></ul></div><br><br><b>Responsibilities</b><br><div><ul><li><span style="font-size: 10pt;"><span>Conduct original research in one or more areas: memory; reasoning and control; tools and computation; or relevant multi-agent algorithms and architectures.</span> </span></li><li><span style="font-size: 10pt;"><span>Formulate falsifiable hypotheses and evaluate them using controlled experiments, matched baselines, ablations, held-out tasks, and reproducible research artifacts.</span> </span></li><li><span style="font-size: 10pt;"><span>Contribute to the team’s task environments, evaluation harnesses, traces, or other reusable infrastructure as appropriate.</span> </span></li><li><span style="font-size: 10pt;"><span>Investigate reliability, cost, latency, provenance, authorization, privacy, and human-oversight constraints alongside capability.</span> </span></li><li><span style="font-size: 10pt;"><span>Pursue an independent research program and contribute to the team's broader scientific direction. </span><span> </span></span></li><li><span style="font-size: 10pt;"><span>Disseminate research through peer-reviewed publications, conference presentations, open scientific engagement, and collaboration with the broader research community.</span><span> </span></span></li></ul></div><br><br><b>Qualifications</b><br><div><p><strong><span style="font-size: 10pt;"><span>Required/Minimum Qualifications:</span><span><span> </span> </span><span> </span></span></strong></p></div><div><ul><li><span style="font-size: 10pt;"> </span><span style="font-size: 10pt;"><span>A PhD (completed or near completion) in Machine Learning, Computer Science, Mathematics, Statistics, or a related field.</span> </span></li><li><span style="font-size: 10pt;"><span>Expertise in one or more sub-fields of AI/ML, evidenced by top-tier publications and/or experience.</span><span> </span></span></li></ul></div><div><p><strong><span style="font-size: 10pt;"> </span><span style="font-size: 10pt;"><span>Preferred/Additional Qualifications:</span><span> </span></span></strong></p></div><div><ul><li><span style="font-size: 10pt;"><span>A strong record of original, peer-reviewed research published at leading venues in AI, machine learning,  such as NeurIPS, ICML, ICLR, UAI, AISTATS.</span> </span></li><li><span style="font-size: 10pt;"><span>Research evidence in persistent memory, long-horizon planning, adaptive computation, formal or practical tool interfaces, verification, recovery, or agent evaluation.</span> </span></li><li><span style="font-size: 10pt;"><span>Experience with reproducible benchmarks, evaluation harnesses, systems instrumentation, security, privacy, or safety research for AI agents.</span> </span></li><li><span style="font-size: 10pt;"><span>Excellent written and verbal communication skills, with the ability to explain complex ideas to a broad scientific audience.</span><span> </span></span></li></ul></div><div><p><em><span style="font-size: 10pt;"> </span></em></p></div><div><p><em><span style="font-size: 10pt;">We value depth, originality, and transferable skills in a candidate's chosen area. We do not expect applicants to cover all the topics or methods listed above, and we welcome candidates whose primary contributions are theoretical, empirical, or methodological</span></em></p></div> <br><br><p>The base pay for this internship is £ 6,655.00 per month. Certain roles may be eligible for benefits and other compensation. </p><p></p> <p>Find additional benefits and pay information here:<br><a href="https://careers.microsoft.com/v2/global/en/corporate-pay/interns-corporate-pay.html">https://careers.microsoft.com/v2/global/en/corporate-pay/interns-corporate-pay.html</a></p><br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><hr><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html"><b><u>requesting accommodations.</u></b></a></p>