Applications are invited for the position of Research Associate in the Department of Pure Mathematics and Mathematical Statistics. The successful applicant will join the ERC-funded team of Prof. Richard Nickl and work in the project area `Statistical aspects of non-linear inverse problems', which broadly addresses mathematical and foundational challenges in contemporary data science and the theory of statistical algorithms.
Duties include undertaking your own programme of research and assisting with ongoing research programmes, using databases, modelling, computation as appropriate; writing up results for publication; and presenting your work to colleagues at conferences or steering groups, both internally and externally. You may also be asked to assist in the supervision of student projects, and/or to provide supervision/instruction to classes or small groups of students.
The successful candidate will have completed (or nearly completed) a Ph.D. degree in mathematics and have relevant background knowledge in mathematical statistics and probability theory. Further knowledge of modern techniques in analysis and partial differential equations (PDEs) will strengthen any application but is not strictly necessary. Previous relevant research experience at this level is desirable but not essential.
Fixed-term: The funds for this post are available for 2 years in the first instance, with a possible extension to 3 years.
The start date is 1 October 2025 (or to be negotiated).
Interviews will be held in the first two weeks of January 2025.
Informal enquiries can be made by contacting Prof Richard Nickl: nickl@maths.cam.ac.uk
If you have any queries about the application process please email: LF43422@maths.cam.ac.uk
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please indicate the contact details of two academic referees on the online application form and upload a full curriculum vitae and a description of your recent research (not to exceed three pages). Please ensure that at least one of your referees is contactable at any time during the selection process, and is made aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System, and please encourage them to do so promptly.
Please quote reference LF43422 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and/or candidates from a BAME background for this vacancy as they are currently under-represented at this level in our Department.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.