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- Tasks: Join a vibrant team to drive impactful machine learning research and solve real-world problems.
- Company: Microsoft Research Cambridge, a leader in responsible AI and innovative technology.
- Benefits: Collaborative environment, unique interdisciplinary opportunities, and a commitment to scientific excellence.
- Why this job: Make a difference in AI while working with world-class researchers in a dynamic setting.
- Qualifications: PhD in relevant field and expertise in machine learning with strong communication skills.
- Other info: Open for applications until filled; Microsoft values diversity and inclusion.
The predicted salary is between 45000 - 60000 £ per year.
Overview The Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in correctness, capability, and efficiency, and we are deeply engaged in collaborations that build on these foundations for systems, the sciences, and human-centred AI. We seek a highly collaborative researcher with expertise in one or more core areas of ML, strong communication skills, and a commitment to impactful research. We offer a vibrant environment for researchers with unique opportunities to collaborate across disciplines and teams.
Duration: 2 Years
Location: Cambridge, UK
Responsibilities
- Contribute to ML research projects within Machine Intelligence and other teams across MSR.
- Collaborate and foster a culture of innovation with a team of world-class researchers and scientists to explore and solve fundamental problems in ML, with a focus on generating impactful, cross-disciplinary applications.
- Translate theoretical AI concepts into tangible solutions and methodologies that address complex issues within various fields of study and industry sectors.
- Disseminate research findings through publications, conference presentations, and engagements with the broader scientific community.
Qualifications
Required
- A PhD in a relevant field (e.g. ML, Computer Science, Mathematics, Physics).
- Expertise in one or more sub-fields of ML, evidenced by top-tier publications and/or experience.
- Ability to clearly communicate your research to a diverse audience.
Preferred
- Broad ML education and experiences, covering, for example: statistical methods, probabilistic modelling, RL, deep learning, LLM training.
- Strong ML coding and engineering skills.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Post-Doc in Machine Learning,Machine Intelligence in Cambridge employer: Microsoft Corporation
Contact Detail:
Microsoft Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post-Doc in Machine Learning,Machine Intelligence in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field, attend relevant meetups or conferences, and don’t be shy about sharing your research interests. You never know who might have a lead on that perfect post-doc opportunity!
✨Tip Number 2
Show off your expertise! Prepare a portfolio of your best work, including publications and projects that highlight your skills in ML. When you get the chance to chat with potential employers, use this as a conversation starter to demonstrate your impact in the field.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your research and its implications. Try explaining your work to friends or family who aren’t in the field – if they understand it, you’re ready for any interview!
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your skills. Plus, it’s a great way to ensure your application gets the attention it deserves from our team.
We think you need these skills to ace Post-Doc in Machine Learning,Machine Intelligence in Cambridge
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your expertise in machine learning and how it aligns with our team's focus on responsible AI. We want to see how your unique skills can contribute to our collaborative environment.
Showcase Your Research Impact: When detailing your past research, emphasise the impact and relevance of your work. We love seeing how your contributions have made a difference in the field, so don’t hold back on those impressive publications or projects!
Communicate Clearly: Strong communication skills are key for us. Make sure your application reflects your ability to convey complex ideas simply and effectively. Think about how you can explain your research to someone outside your field.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Microsoft Corporation
✨Know Your Research Inside Out
Make sure you can discuss your past research in detail, especially any publications or projects related to machine learning. Be prepared to explain your methodologies and the impact of your work, as this will showcase your expertise and commitment to impactful research.
✨Showcase Collaboration Skills
Since the role emphasises collaboration, think of examples where you've successfully worked with others on research projects. Be ready to discuss how you fostered innovation within a team and how you can contribute to a culture of collaboration at MSR Cambridge.
✨Communicate Clearly and Effectively
Practice explaining complex ML concepts in simple terms. You might be asked to present your research to a diverse audience, so being able to communicate clearly is crucial. Consider doing mock interviews with friends or colleagues to refine your delivery.
✨Prepare for Technical Questions
Brush up on your technical skills, especially in areas like statistical methods, deep learning, and coding. Expect questions that test your knowledge and problem-solving abilities in these areas. Being well-prepared will help you demonstrate your strong ML engineering skills.