Salary: £33,797 - £38,017 a year

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Job content

The role

Based at the Institute of Statistical Science at Bristol University, this is a 20 month postdoctoral position funded by the EPSRC “New Horizons” grant “Learn2Sim” lead by Dr Dennis Prangle. The grant’s aim is to enable statistical analysis of stochastic computer simulator models by learning how to steer the random numbers that drive them so that their outputs closely match observed data. The project will use the pyprob software to control the random number generator of existing simulator code, in collaboration with its developer, Dr Atilim Gunes Baydin of Oxford University. As well as developing new methodology and software, the project involves using this in a high energy physics application.

What will you be doing?

  • Research on algorithms to analyse computer simulator models using methods from computational statistics and machine learning such as likelihood-free inference and normalising flows.
  • Software development in Python.
  • Application to the high energy particle physics: exploring properties of the Higgs boson using the "Sherpa" simulator of tau lepton decay on Large Hadron Collider data.

You should apply if

You have, or are about to complete, a PhD in Statistics, Machine Learning or another relevant field. You have experience in scientific programming: experience in a Python machine learning framework such as PyTorch or Jax is desirable but not essential. You are excited about developing novel statistical methodology to scale up analysis of computer simulator models to challenging real world problems.

It is the applicant’s responsibility to ensure their referees send their letters of reference tomaths-recruitment@bristol.ac.ukby 16th July 2021. This instruction supersedes any information in the online application form suggesting that referees are contacted directly by the University.

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.

Available documents

  • Further Particulars - School of Mathematics 2020.pdf
  • ACAD105343 - Research Associate - Job Description.pdf

JOB NUMBER

ACAD105343

CONTRACT TYPE/WORK PATTERN

Open ended / Full time

CLOSING DATE

16 Jul 2021

FACULTY/DIVISION

Faculty of Science

SALARY

£33,797 - £38,017 per annum

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Deadline: 26-07-2024

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