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Research Assistant / Associate in Surrogate-Based Optimisation

Imperial College London - Department of Computing

Location: London
Salary: £36,694 to £49,210 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 24th September 2021
Closes: 24th October 2021
Job Ref: ENG01875

South Kensington Campus

Research Associate salary range: £41,593- £49,210 per annum*

Research Assistant salary range: £36,694 - £39,888 per annum

Full-time, Fixed term to start ASAP for 24 months

Job Summary

The post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) involves conducting world-leading research on integrating deterministic global optimisation and machine learning for surrogate optimisation. We will consider two main themes: (i) developing new computational approaches for optimising over already-trained machine learning models and (ii) developing machine learning approaches, e.g. selecting cutting planes and branching variables, for automatically improving the performance of global optimisation algorithms.

The post will be based in the Department of Computing at Imperial College London at the South Kensington Campus. The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, the Department was ranked third (1st in the Research Intensity table published by The Times Higher) and was rated as "Excellent" in the previous national assessment of teaching quality.

Duties and responsibilities

The successful candidate will collaborate with Professor Ruth Misener and Dr Panos Parpas in the Department of Computing and will be a member of the broader EPSRC-funded ADOPT project (Advancing optimisation technologies through international collaboration). This EPSRC project is a collaboration between Imperial, UCL, and the Center for Simulation and Data Science RWTH Aachen and Forschungszentrum Jülich (JARA-CSD). We will also collaborate with several commercial solver software vendors.

In addition to publishing research in top optimisation and machine learning venues, the Research Assistant/Associate will be expected to contribute towards developing and maintaining open source software related to this project (

For further information on the Prof Misener’s and Dr Parpas’ research and related projects in the Computational Optimisation Group (, see  and

Essential requirements

  • Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. Computational optimisation
  • Research Assistant: A strong Master’s degree in an area pertinent to the subject area, e.g. Computer Science
  • Experience with the design and implementation of computational optimisation algorithms in languages such python
  • Have a strong computational optimisation background
  • Research Associate: Proven publication track-record, in one or more of the following areas: computational optimisation, open source software, machine learning
  • Research Assistant: Completion of courses or project work in one or more of the following areas: computational optimisation, open source software, machine learning
  • Knowledge of research methods and experience running experiments.

*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.

How to apply

Visit and search using vacancy reference number ENG01875. In addition to completing the online application, candidates should attach:

  • A full CV, with a list of all publications
  • A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.

Informal enquiries related to the position should be directed to Prof. Ruth Misener: or Dr. Panos Parpas:

For queries regarding the application process contact Jamie Perrins:

Closing Date: 24th October 2021 (midnight)

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