Research Associate in Statistics

University of Cambridge Department of Pure Mathematics and Mathematical Statistics

United Kingdom

Applications are invited for a Research Associate position available in the Department of Pure Mathematics and Mathematical Statistics to work in the area of Statistics. The postdoctoral research associate will work on applications of information theory to problems in statistics and machine learning. Possible research topics include:

(i) Isoperimetric inequalities and their applications to adversarial machine learning (ii) Information bottleneck theory for novel forms of data (iii) Strong data-processing inequalities in statistics

The postdoctoral associate will work closely with Professor Varun Jog and Professor Po-Ling Loh.

Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holder 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.

Informal enquiries can be made by contacting LF25357@maths.cam.ac.uk.

Fixed-term: The funds for this post are available for 1 year in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

You will need to upload a full curriculum vitae, list of publications, research statement (up to 3 pages), and the contact details of at least two academic referees. Please ensure that your referees supply references by the closing date and are made aware that they may 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 LF25357 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 Professorpositions.com

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