The successful candidate will join the Machine Learning & Data Science research group and conduct research on the mathematical theory of deep learning as part of the joint NSF-EPSRC project "DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks". The research will involve collaboration with Professor Justin Sirignano at Oxford and Professor Konstantinos Spiliopoulos at Boston University. The project develops new mathematical theory for training algorithms and neural network models, drawing on probability, partial differential equations, large deviations, stochastic analysis, optimisation and machine learning.
The successful candidate will contribute to the activities of the Machine Learning & Data Science research group, develop rigorous mathematical proofs for convergence and asymptotic analysis of deep learning models, methods and algorithms, and collaborate in the preparation of research publications. There will be opportunities to contribute a small amount of teaching to the department, of at most three hours a week during the academic terms.
We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award.
We are currently inviting applications for a Postdoctoral Research Associate in Deep Learning to work with Professor Justin Sirignano at the Mathematical Institute, University of Oxford. This is a 6-month, fixed-term position funded by an EPSRC grant. We anticipate a starting date of 1 December 2026 (or as soon as possible thereafter) and an expected end date of 31 May 2027. There is scope for flexibility in the start and end dates, subject to approval by the department and the funding agencies.
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Postdoctoral Research Associate in Deep Learning in Oxford employer: University of Oxford
The Department of Politics and International Relations at the University of Oxford is an exceptional employer, offering a collaborative and intellectually stimulating environment where finance professionals can thrive. With a commitment to equality, diversity, and inclusion, along with generous benefits such as 38 days of annual leave and a robust family leave scheme, employees are supported in both their professional and personal lives. This role not only provides the opportunity to influence strategic financial decisions within a world-renowned department but also fosters continuous growth and development in a vibrant academic community.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate in Deep Learning in Oxford
✨Join Medical Networks
Get involved in local and national medical associations, like the Royal College of Physicians. These networks can help you connect with mentors and colleagues who might know of openings, plus they're great for staying updated on the latest in medicine and clinical practices.
✨Attend Healthcare Conferences
Make it a habit to attend medical conferences and seminars. These events are fantastic for networking and often feature job boards where hospitals and clinics post their openings. Plus, it’s a good way to get your face recognised in the industry.
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Don’t forget to use your medical school’s career services! They usually have great connections with hospitals and clinics looking to fill full-time physician positions and can help you with mock interviews or networking events.
✨Apply Directly Through Hospital Websites
When you're ready to apply, make sure to check the careers section of hospital websites directly. Hospitals like University of Oxford often post their job openings there first, and applying directly can sometimes give you an edge over other applicants.
Some tips for your application 🫡
Show Off Your Credentials:When applying for a physician role, make sure to highlight your medical qualifications and any special certifications you have. We want to see your medical degree, residency training, and any additional certifications that set you apart, like specialised training in paediatrics or geriatrics. Don’t leave out those all-important letters after your name!
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How to prepare for a job interview at University of Oxford
✨Get Clinical Knowledge Sharp
Brush up on your clinical knowledge, particularly in areas relevant to the role at University of Oxford. Expect questions about diagnosis, treatment plans, and patient management. Be ready to discuss case studies or even do some role-playing with hypothetical patient scenarios for a more practical assessment.
✨Know Your Procedures and Protocols
Familiarise yourself with the latest procedures and protocols that are specific to the field of medicine you’re applying to. Whether it’s surgical techniques or patient care protocols, being able to discuss these confidently can really set you apart in the interview at University of Oxford.
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Make sure you’re clued up on the latest medical trends, research, and innovations. Not only does this prepare you for technical questions, but it also shows your passion for the field. Be ready to discuss how these trends might affect your practice at University of Oxford.
