At a Glance
- Tasks: Conduct cutting-edge research in machine learning and data science at a prestigious university.
- Company: Join the Mathematical Institute at the University of Oxford, a leader in academic excellence.
- Benefits: Flexible start date, collaborative environment, and opportunities for publication and teaching.
- Other info: Two-year fixed-term position with excellent career development prospects.
- Why this job: Make a real impact in the field of machine learning while working with top researchers.
- Qualifications: Strong background in mathematics and experience in machine learning required.
The predicted salary is between 35000 - 45000 € per year.
Classification Machine Learning and Data Science Research Themes:
- Learning with Structured & Geometric Models – apply tools from manifold learning and Riemannian optimisation to better training and novel network designs.
- Low Effective-dimensional Learning Models – extend foundational theory to reduce trainable parameters without sacrificing accuracy, analysing low‑dimensional building blocks.
- Implicit Regularization – develop mathematical understanding of implicit regularisation in deep neural networks to guide algorithmic paradigms that combine statistical optimality and computational efficiency.
- Reinforcement Learning through Stochastic Control – develop stochastic control methods providing mathematically grounded continuous‑time RL, addressing scalability for high‑frequency observations.
Position Details: This is a two‑year fixed‑term position funded by a research grant from the EPSRC. The start date is flexible.
Responsibilities:
- Conduct research within the remit of the large‑scale project, collaborating with other hub members at Oxford and partner institutions.
- Publish results with co‑authors in refereed journals and proceedings.
- Contribute a small amount of teaching (at most three hours a week during academic terms).
Application Requirements: Applicants must provide two referees who will send reference letters directly to references@maths.ox.ac.uk before the closing date.
Mathematical Institute, University of Oxford Oxford Postdoctoral Research Associate 8 December 2025 employer: Euro Math Soc
The University of Oxford offers an exceptional environment for postdoctoral researchers, fostering a culture of collaboration and innovation within the Mathematical Institute. With access to world-class resources and a vibrant academic community, employees benefit from opportunities for professional growth, including publishing research and engaging in teaching. Located in the historic city of Oxford, this role not only provides a chance to contribute to cutting-edge research but also to be part of a prestigious institution that values intellectual curiosity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Mathematical Institute, University of Oxford Oxford Postdoctoral Research Associate 8 December 2025
✨Tip Number 1
Network like a pro! Reach out to current or former researchers at the Mathematical Institute. A friendly chat can give you insights into the team and might just land you a foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-presentation or a portfolio of your past work related to machine learning and data science. This can really impress during interviews and showcase your expertise.
✨Tip Number 3
Stay updated on the latest research! Familiarise yourself with recent publications in your field, especially those from Oxford. Mentioning these in your conversations can demonstrate your genuine interest and knowledge.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Mathematical Institute, University of Oxford Oxford Postdoctoral Research Associate 8 December 2025
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the specific research themes mentioned in the job description. We want to see how you can contribute to our projects at the Mathematical Institute!
Showcase Your Research:When detailing your research experience, focus on the methodologies and results that relate to machine learning and data science. We love seeing how you've tackled complex problems, so don't hold back on the details!
Reference Ready:Remember to line up your referees early! They need to send their reference letters directly to us before the closing date, so give them a heads-up and ensure they know what you're applying for.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the easiest way for us to keep track of everything and ensures your application gets the attention it deserves!
How to prepare for a job interview at Euro Math Soc
✨Know Your Research
Make sure you’re well-versed in the specific research themes mentioned in the job description. Brush up on manifold learning, Riemannian optimisation, and implicit regularisation. Being able to discuss these topics confidently will show your genuine interest and expertise.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning and data science. Review key concepts and be ready to explain how you would apply them in real-world scenarios. Practising with peers or mentors can help you articulate your thoughts clearly.
✨Showcase Collaboration Skills
Since the role involves collaborating with other researchers, be prepared to discuss your past experiences working in teams. Highlight any projects where you contributed to a group effort, especially in academic settings, as this will demonstrate your ability to work well with others.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the project or the team dynamics. This not only shows your enthusiasm but also helps you gauge if the position is the right fit for you. It’s a two-way street!
