Research Associate Data Assimilation and Machine Learning

Job summary

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. To undertake and disseminate internationally leading research into the development of a range of the next generation data assimilation and machine learning models and applications to air pollution, lungs modelling and sensors optimization. The Research Associate will collaborate with and...

Job listing information

  • Reference ENG00947
  • Date posted 19 August 2019
  • Closing date 16 September 2019

Job description

Job summary

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.

To undertake and disseminate internationally leading research into the development of a range of the next generation data assimilation and machine learning models and applications to air pollution, lungs modelling and sensors optimization. The Research Associate will collaborate with and strengthen the multi-disciplinary team of researchers already in place working on closely related projects. Ultimately the post holder will contribute to the delivery of a next generation model for optimising sensors, data assimilation, machine learning and optimised controls. The work will contribute to the INHALE project.

Duties and responsibilities

You will be expected to:
 

  • Undertake and develop advanced techniques in data assimilation
  •  To initiate and plan research according to the projects guidelines
  • To identify and develop suitable techniques, and apparatus, for the collection and analysis of data
  • You must ensure the validity and reliability of data at all times
  • To maintain accurate and complete records of all findings
  • To write reports for submission to research sponsors
  • To submit publications to refereed journals
  • To provide guidance to staff and students.

Essential requirements


  • At Research Assistant level: A good undergraduate degree or MSc (or their equivalents) in Mathematics, Physics, Computing, Engineering or equivalent research, industrial or commercial experience

  • At Research Associate level: A PhD (or equivalent) in an area pertinent to the research subject. Mathematics, Physics, Computing, Engineering or equivalent research, industrial or commercial experience

  • A proven research record with publications in the relevant areas is  required

  • Background in computational science, in particular optimisation, data analysis, and data assimilation techniques (adjoint, enKF etc).

  • Background in Machine Learning, in particular neural network

  • Experience of implementation of data assimilation techniques within complex multi-physics unstructured adaptive mesh models, and in particular fluid dynamics

  • You must have excellent verbal and written communication skills

  • Experience of dealing with specific groups of people, e.g. sponsors, students

Further information

Via our website at https://www.imperial.ac.uk/jobs  and search using vacancy reference number ENG00947.  In addition to completing the online application, candidates should attach:

A full CV

A 1 page statement indicating why your expertise is relevant

For queries regarding the application process contact Fay Miller f.miller@imperial.ac.uk

For technical issues when applying online, please contact: erecruitment@imperial.ac.uk

 Closing date: 16th September 2019

Documents

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.