Research Associate in Intelligent Transmission and - South Kensington, United Kingdom - Imperial College London

Imperial College London
Imperial College London
Verified Company
South Kensington, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description
The post is to recruit researchers for "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
  • To promote the reputation of the group, the Department and the College
  • To provide guidance to PhD Students
  • Contribute to bids for research grants

Essential requirements:


Essential requirements include:
-
Research Associate: Hold a PhD (or equivalent) in the general area of (a) Machine Learning, (b) Statistical Signal Processing, (c) Wireless Communications,
-
Research Assistant: 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
  • Knowledge in at least two areas of:
  • Applied Math
  • Wireless Communications
  • Machine Learning
  • Statistical Signal Processing
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