Imperial College London, Department of Mathematics

Position ID: 434-RAS1 [#20054, NAT01146]
Position Title: Research Associate in Statistics
Position Type: Other
Position Location: London, United Kingdom [map]
Application Deadline: 2022/05/26 11:59PMhelp popup (posted 2022/05/19, listed until 2022/05/26)
Position Description:    

*** the listing date or deadline for this position has passed. ***

Job Title: Research Associate in Statistics Statistics Section, Department of Mathematics, Faculty of Natural Sciences

Location: South Kensington Campus

Salary Range: £41,593- £49,210 per annum*

Job Summary

The Statistics Section seeks applications for the position of Research Associate, to start on or around 1 October 2022. The position is funded by the Engineering and Physical Sciences Research Council in collaboration with the National Science Foundation (US).

You will conduct research under the supervision of Professor David van Dyk in collaboration with the CHASC International Center for Astrostatistics. The CHASC Center is an international consortium of astrophysicists and statisticians working to solve statistical challenges arising in astrophysics, solar physics, and particle physics.

Further information about the Statistics Section can be found at https://www.imperial.ac.uk/statistics/ and information about the CHASC Center can be found at http://hea-www.harvard.edu/AstroStat/

Duties and Responsibilities

Work will focus on developing Bayesian methods and statistical software for fitting sophisticated astrophysical models to complex data collected with high-tech instruments. This often involves a sequence of statistical analyses and methodological development will focus on properly accounting for errors and carrying uncertainty forward within such sequences of analyses, paying particular attention to assessment of model and systematic uncertainties. Particular applications will include analysing the morphology of extended astrophysical images, accounting for uncertainty in instrumental effects such as point spread functions, and accounting for classification errors when analysing populations of sources.

Essential Requirements

You should hold (or be near completion of) a PhD in Statistics, Biostatistics, Astrophysics, or a closely related discipline and will have research interests in a relevant area of statistical science. You must be able to demonstrate extensive experience developing statistical method in collaborative scientific setting.

You will have a specialist knowledge of statistics, particularly in statistical computation, Bayesian method and/or astrostatistics or closely related areas, together with extensive experience in the development of statistical methods in a collaborative scientific setting.

In addition, you will have

• An ability to carry out original research and to produce published research papers • An ability to identify, develop and apply new concepts, techniques and methods • An ability to keep accurate records of research results and activity • An ability to interact in an interdisciplinary research environment • Excellent computing skills, particularly in R, Python, or C

Further Information

The position is fixed term for 24 months. The expected start date is 1 October 2022 or soon thereafter.

Maximum salary on appointment is £45,234.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range, £36,694- £39,888 per annum.

In addition to completing the online application, candidates should attach:

• A full CV, • A 1-page research statement describing why the candidate’s expertise is relevant to this position and future research plans; and • The details of three referees.

For any specific queries regarding the post please contact Professor David van Dyk - d.van-dyk@imperial.ac.uk The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/ The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes which are ultimately aimed towards finding new treatments and making scientific and medical advances, and where there are no satisfactory or reasonably practical alternatives to their use. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. Find out more about animal research at Imperial.

Closing date: 26/05/2022

To apply, visit www.imperial.ac.uk/jobs and search by the job reference NAT01146.


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Department of Mathematics
Imperial College London
South Kengsington Campus
London
SW7 2AZ
Web Page: http://www.imperial.ac.uk