Research Associates in Statistics

University of Cambridge

United Kingdom

Applications are invited for three Research Associate positions available in the Department of Pure Mathematics and Mathematical Statistics to work in the area of Statistics.

Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holders will be expected to plan and manage their own research and administration, with guidance if required. They must be able to communicate material of a technical nature and be able to build internal and external contacts. They may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction or plan/deliver seminars relating to the research area. The successful candidates will be working on one of three projects, as per below.

Post A (StatScale, with Dr Rajen Shah)

StatScale is an exciting collaboration between researchers at the University of Cambridge and Lancaster University. The programme will tackle the important inference challenges arising from large-scale data and data streams. This multi-million pound research initiative is funded by the Engineering and Physical Sciences Research Council (EPSRC), the two participating institutions and a number of committed project partners. The programme is led by Idris Eckley, Paul Fearnhead (Lancaster) and Rajen Shah, Richard Samworth (Cambridge). You should have, or be close to completing, a PhD in Statistics or a related discipline. You will be experienced in one or more of the following areas: high-dimensional statistics, nonparametric statistics and streaming data. Demonstrable ability to produce academic writing of the highest publishable quality is essential. This position would be supervised by Dr Rajen Shah at the University of Cambridge.

Post B (StatScale, with Professor Richard Samworth)

Project as above. This position would be supervised by Professor Richard Samworth at the University of Cambridge.

Post C (EPSRC and StatScale, with Professor Richard Samworth)

The project is primarily funded by Professor Samworth's EPSRC fellowship 'Statistical Methodology and Theory in the Big Data Era'. You should have, or be close to completing, a PhD in Statistics or a related discipline; you will also have demonstrated a capacity to produce world-class research. Priority will be given to applicants with expertise in relevant fields such as high-dimensional and nonparametric statistical inference.

Fixed-term: The funds for these posts are available for 3 years in the first instance.

Informal inquiries can be made by contacting

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, an outline proposal for future research of not more than 2 pages, and a cover letter indicating the post(s) (A, B, or C) you wish to be considered for. 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 LF21068 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.

Apply online

In your application, please refer to


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