About this role
<b>Overview</b><br><div><p><span style="font-size: 10pt;"><span>The Machine Intelligence team at Microsoft Research Cambridge (UK) conducts foundational machine learning research across learning algorithms, model architectures, intelligent systems, and efficient AI. Our work is guided by the principles of responsible AI, collaboration, and scientific excellence, and we collaborate widely across systems, the sciences, and human-centred AI.</span><span> </span></span></p></div><div><p><span style="font-size: 10pt;"><span>We are seeking PhD interns to work with our researchers on ambitious, well-scoped research projects in areas including memory, reasoning and control, efficient training and inference, and machine learning theory. Internships are typically 12 weeks and based in Cambridge, UK. We offer a vibrant research environment with unique opportunities to collaborate across disciplines and teams.</span><span> </span></span></p><ul><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span><strong>Contract Type:</strong> Internship </span></span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span><strong>Contract Length:</strong> 12 Weeks </span></span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span><strong>Location:</strong> Cambridge, UK </span> </span></li></ul></div><br><br><b>Responsibilities</b><br><div><ul><li><span style="font-size: 10pt;"><span>Contribute to an ambitious research agenda in machine learning that lays the groundwork for advances across a wide range of scientific and technological domains.</span> </span></li><li><span style="font-size: 10pt;"><span>Collaborate with a team of world-class researchers to explore and solve fundamental problems in ML.</span> </span></li><li><span style="font-size: 10pt;"><span>Formulate and evaluate research hypotheses, analyse experimental results, and conduct careful empirical studies.</span> </span></li><li><span style="font-size: 10pt;"><span>Prepare technical reports, papers, presentations, and, where appropriate, open-source releases of research code.</span><span> </span></span></li></ul></div><br><br><b>Qualifications</b><br><div><p><span style="font-size: 10pt;"><strong><span>Required/Minimum Qualifications:</span><span><span> </span> </span><span> </span></strong></span></p></div><div><ul><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Currently enrolled in a PhD programme in a relevant field (e.g. Machine Learning, Computer Science, Mathematics, Statistics, Physics).</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>One or more publications at a top-tier venue in machine learning or related area.</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Ability to clearly communicate research ideas and results to a diverse audience.</span><span> </span></span></li></ul><div><p><span style="font-size: 10pt;"><strong><span>Preferred/Additional Qualifications:</span><span> </span></strong></span></p></div><div><ul><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Strong ML coding and engineering skills.</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span><strong>Research experience in one or more of the following:</strong> </span><span> </span></span><ul><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Reasoning, planning and control in language models and agents</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Memory, continual learning and long-horizon adaptation</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Agents for scientific discovery</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Tool use, program synthesis and verification</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Efficient model training and inference</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Generative and probabilistic modelling</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Theoretical foundations of deep learning</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Interpretability, AI safety and alignment</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Causal representation learning and model-based reasoning</span> </span></li><li style="font-size: 10pt;"><span style="font-size: 10pt;"><span>Neuromorphic algorithms/brain-inspired architectures</span><span> </span></span></li></ul></li></ul></div></div> <br><br><p>The base pay for this internship is £ 4,853.00 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>