Research Associate on The Bayesian Approach for Inverse Problems (Fixed Term)

A position exists for a Post Doctoral Research Associate in the Department of Pure Mathematics and Mathematical Statistics to work on the Bayesian approach for inverse problems with Dr Randolf Altmeyer.

Duties include developing and conducting individual and collaborative research 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. The successful candidate may be asked to provide teaching support to other members within the Statistical Laboratory (e.g. examples classes). They may also be asked to assist in the supervision of student projects, and the development of student research skills, provide instruction or plan/deliver seminars relating to their research area. 

The successful candidate will have completed (or nearly completed) a PhD in Mathematics or Statistics or a closely related area before their appointment and will have demonstrated a capacity to produce world-class research.

Previous applicants need not apply.

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

To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/34408.

Informal inquiries can be made by contacting LF30838@maths.cam.ac.uk@maths.cam.ac.uk.

On the online form, you should clearly explain the reasons for your application, and indicate how your knowledge, skills and experience match the requirements of the role as described in the Further Particulars. The full contact details of two referees should be included; at least one of whom should be contactable if you are invited to attend an interview. 

The deadline for applications is 5 September 2022. Interviews will be held shortly after the closing date with a preferred start date of 1 October 2022 or soon after by mutual agreement.

Please quote reference LF30838 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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