Research Associate in Intelligent Transmission and Processing Imperial College London Department of Electrical and Electronic Engineering

Job summary

Applications are invited for a Research Associate in the “Intelligent Transmission and Processing Lab (ITP Lab)” directed by Prof Geoffrey Li, which focuses on exploiting machine learning for signal processing and wireless communications. Other aspects of the post include undertaking project management, collaborate with academic and industry partners and/or supervise multi-disciplinary teams. In addition, the Research Associate will be...

Job listing information

  • Reference ENG02527
  • Date posted 29 March 2023
  • Closing date 30 April 2023

Key information about the role

  • Location South Kensington and White City Campus - Hybrid
  • Position type Full time, fixed term
  • Salary £43,093 – £50,834 plus benefits
  • Department Department of Electrical and Electronic Engineering
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

Applications are invited for a Research Associate in the “Intelligent Transmission and Processing Lab (ITP Lab)” directed by Prof Geoffrey Li, which focuses on exploiting machine learning for signal processing and wireless communications. Other aspects of the post include undertaking project management, collaborate with academic and industry partners and/or supervise multi-disciplinary teams. In addition, the Research Associate will be expected to submit publications to refereed journals and to attract external research funding

Duties and responsibilities

Key responsibilities include:   

  • To take initiatives in the planning of research
  • To direct the work of small research teams
  • To 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 present findings to colleagues and at conferences
  • To submit publications to refereed journals
  • To provide guidance to staff and students
  • To attend relevant workshops and conferences as necessary
  • To develop contacts and research collaborations within the College and the wider community

Essential requirements

Essential requirements include: 

  • Hold a PhD (or equivalent) in the general area of (a) Machine Learning, (b) Statistical Signal Processing, (c) Wireless Communications, (d) Applied Mathematics, or a closely related discipline or equivalent research or industrial experience

  • Near completion of a PhD (or equivalent) in the general area of (a) Machine Learning, (b) Statistical Signal Processing, (c) Wireless Communications, (d) Applied Mathematics, or a closely related discipline or equivalent research or industrial experience

  • Practical experience within a research environment and / or publication in relevant and refereed journals
    • Applied Math
    • Wireless Communications
    • Machine Learning

      Knowledge in at least two areas of:

    • Statistical Signal Processing

Further information

*Candidates who have not yet been awarded their PhD will initially be appointed at the Research Assistant level within the salary range £38,194 - £41,388 per annum.

Prospective candidates may contact Prof Geoffrey Li (geoffrey.li@imperial.ac.uk) for further details.

Any queries regarding the application process should be directed to Vanessa Rodriguez-Gonzalez v.rodriguez-gonzalez@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.

The College is currently trialling a Work Location Framework until early 2023.  Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite.  The opportunity for hybrid working will be discussed at interview.


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