Research Assistant/Associate

Job summary

We are seeking an outstanding Research Assistant or Associate with expertise in point processes to develop tools to map the epidemiological reproductive number (R0) in low malaria transmission settings. In 2016 the WHO identified 21 countries which could realistically eliminate malaria by 2020. Monitoring progress towards this goal requires tracking ongoing transmission from case report data. The post will be based within the Medical Research...

Job listing information

  • Reference MED01193
  • Date posted 15 April 2019
  • Closing date 15 May 2019

Job description

Job summary

We are seeking an outstanding Research Assistant or Associate with expertise in point processes to develop tools to map the epidemiological reproductive number (R0) in low malaria transmission settings.

In 2016 the WHO identified 21 countries which could realistically eliminate malaria by 2020. Monitoring progress towards this goal requires tracking ongoing transmission from case report data.

The post will be based within the Medical Research Council (MRC) Centre for Global Infectious Disease Analysis located in the Department of Infectious Disease Epidemiology in the School of Public Health with dual affiliation with the Data Science Institute, Imperial College, London.

Duties and responsibilities

The post holder will utilise developments in statistics to investigate:

  • Parameterisations of Hawkes processes to map endogenous and exogenous drivers of malaria transmission.
  • Space time triggering Kernels.
  • Efficient implementations in TensorFlow.
  • Work with partners at Oxford to deliver outputs directly to country.

Essential requirements

The ideal candidate will have worked previously with Hawkes processes (or similar approaches) and have experience programming statistical tools from scratch.

Applicants should have an MSc (for appointment to Research Assistant) or PhD (for appointment to Research Associate) or equivalent in one of the following areas: statistics, mathematics, machine learning, economics, computer science or a similarly quantitative discipline. You will need research experience in Hawkes processes and machine learning, knowledge of R/Python programming language and a strong interest in statistical theory and methods.

Further information

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £34,397- £37,486 per annum.

This post is full time and fixed term for 18 months (successful candidate would need to start in post by October 19) and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.

Should you have any queries please contact: Dr Sam Bhatt: s.bhatt@imperial.ac.uk

For technical issues when applying online please email recruitment@imperial.ac.uk

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Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

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About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

All Imperial employees are expected to follow the 7 principles of Imperial Expectations: 

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way 

In addition to the above, employees are required to observe and comply with all College policies and regulations.

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.