|Salary:||£29,605 to £33,966 per annum|
|Placed On:||25th September 2023|
|Closes:||1st January 2024|
A position exists for a Research Assistant in the Department of Pure Mathematics and Mathematical Statistics. The successful applicant will join the ERC-funded team of Prof. Richard Nickl and work jointly with Prof. Edriss Titi (DAMTP) on a project in the mathematical theory of statistical inference algorithms in non-linear PDE models (such as, e.g., the Navier-Stokes equations).
Duties include undertaking your own program of research and assisting with ongoing research programmes, writing up mathematical 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 hold a Master's degree in mathematics and have relevant background knowledge in analysis and probability theory. Further knowledge of mathematical statistics and partial differential equations will strengthen any application but is not strictly necessary. Previous relevant research experience at this level is desirable but not essential.
To apply online for this vacancy and to view further information about the role, please click on the apply button above.
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.
**Interview date** is in the first two weeks of January 2024.
If you have any queries about the application process please email: LF38590@maths.cam.ac.uk
Please quote reference LF38590 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 BME 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.*
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