Research Assistant / Associate in Multi-Fidelity Model Development

University of Cambridge

This post presents an opportunity for a research scientist to join a research team based at Cambridge and work on multi-fidelity modelling as part of the EPSRC funded Programme Grant PREMIERE (https://premiere.ai/about). The research to be undertaken by the postholder will focus on the development of new mathematical and statistical methodologies multi-fidelity modelling.

The post holder will be located in West Cambridge, Cambridgeshire, UK.

The successful candidate will have demonstrable experience in:

  • mathematical and data modelling and analysis
  • experience in developing theoretical analysis of statistical methodology
  • experience in large scale computing
  • experience authoring technical documents and scientific papers
  • proven ability to work in a team
  • proven ability to communicate effectively

Applicants must have or be close to obtaining a PhD in Mathematics, Physics or Statistics. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience). Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Salary Ranges:
Research Assistant: £26,715 - £30,942
Research Associate: £32,816 - £40,322

Fixed-term: The funds for this post are available for 36 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

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

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy or the application process, please contact Sue Stocks at sms98@cam.ac.uk.

Please quote reference NM24661 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.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.