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Microsoft Research Cambridge Internship Program - Machine Intelligence
Microsoft Research Cambridge busca estudiantes de doctorado en prácticas para contribuir a proyectos de investigación fundamental en aprendizaje automático, especialmente sobre razonamiento, memoria e IA eficiente. Las prácticas de 12 semanas se desarrollan en Cambridge, en un equipo de investigadores, con una remuneración de 4 853 £ al mes.
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Detalles de la oferta
La descripción completa publicada por Microsoft.
Description de l’offre
Overview 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. 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.
- Contract Type: Internship
- Contract Length: 12 Weeks
- Location: Cambridge, UK
Responsibilities
Contribute to an ambitious research agenda in machine learning that lays the groundwork for advances across a wide range of scientific and technological domains.
- Collaborate with a team of world-class researchers to explore and solve fundamental problems in ML.
- Formulate and evaluate research hypotheses, analyse experimental results, and conduct careful empirical studies.
- Prepare technical reports, papers, presentations, and, where appropriate, open-source releases of research code.
Qualifications
Required/Minimum
Qualifications
- Currently enrolled in a PhD programme in a relevant field (e.g. Machine Learning, Computer Science, Mathematics, Statistics, Physics).
- One or more publications at a top-tier venue in machine learning or related area.
- Ability to clearly communicate research ideas and results to a diverse audience. Preferred/Additional
Qualifications
- Strong ML coding and engineering skills.
- Research experience in one or more of the following:
- Reasoning, planning and control in language models and agents
- Memory, continual learning and long-horizon adaptation
- Agents for scientific discovery
- Tool use, program synthesis and verification
- Efficient model training and inference
- Generative and probabilistic modelling
- Theoretical foundations of deep learning
- Interpretability, AI safety and alignment
- Causal representation learning and model-based reasoning
- Neuromorphic algorithms/brain-inspired architectures The base pay for this internship is £ 4,853.00 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/interns-corporate-pay.html This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 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 requesting accommodations.
Requisitos
- Doctorado en informática, matemáticas, estadística, física o un campo pertinente
- Publicación en una revista o conferencia de primer nivel sobre aprendizaje automático o un campo relacionado
- Comunicación clara de ideas y resultados de investigación
- Sólidas competencias en programación e ingeniería ML
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