Applications are invited for a Research Associate in Statistics. The post is available for 2 years from 1 March 2018 (or by negotiation). Appointments will be made at an appropriate point on the University's Research Associate scale. The post is connected with Dr Rajen Shah's EPSRC First Grant 'Statistical and Computational Challenges in High-dimensional Data Analysis', and priority will be given to applicants with expertise in high-dimensional statistics and other relevant fields.
The successful candidate will have completed (or nearly completed) a PhD in Statistics or a closely related area prior to their appointment, and will have demonstrated a capacity to produce world-class research. Duties would include developing and conducting individual and collaborative research 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 their research area.
Informal enquiries may be directed to Dr Rajen Shah (email: LF13642@maths.cam.ac.uk).
Fixed-term: The funds for this post are available for 2 years in the first instance.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
You will need to upload a full curriculum vitae, list of publications and an outline proposal for future research of not more than 2 pages together with the contact details of two academic referees. 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 LF13642 on your application and in any correspondence about this vacancy.
The University of Cambridge values diversity and is committed to equality of opportunity. The Department would particularly welcome applications from women, since women are, and have historically been, underrepresented on our research staff.
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