Research Fellow in Sensor Networks and Machine Learning
Imperial College London Department of Computing
United Kingdom

 

 

Job summary

We are seeking to hire a Research Fellow (RF) to lead our work on Smart City Sensing as part of our Singapore Eco Cities programme of work led by PI Professor Julie McCann. This work will involve the sensing of civil infrastructures such as mechanical substructures (lifts, pipes, water collection systems etc), the communication of sensor data and its analysis to elicit knowledge regarding asset condition monitoring, anomaly detection etc....

Job listing information

  • Reference ENG01582
  • Date posted 4 March 2021
  • Closing date 12 April 2021

Key information about the role

  • Location Non-UK
  • Position type Full time, fixed term
  • Salary £43,195 – £51,702 plus benefits
  • Department Department of Computing
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

We are seeking to hire a Research Fellow (RF) to lead our work on Smart City Sensing as part of our Singapore Eco Cities programme of work led by PI Professor Julie McCann. This work will involve the sensing of civil infrastructures such as mechanical substructures (lifts, pipes, water collection systems etc), the communication of sensor data and its analysis to elicit knowledge regarding asset condition monitoring, anomaly detection etc. using combinations of Signal Processing and Machine Learning techniques.

Duties and responsibilities

The Adaptive Emergent Systems Engineering Lab (AESE) is primarily located in Imperial College London; however, this position will be based in Singapore working with I2R and the Singapore Housing Development Board. The RF will lead a multi-disciplinary team of 6 researchers in Singapore and will include travel to our London lab. For further information see: http://wp.doc.ic.ac.uk/aese/

You will be joining a world-leading team. Imperial College is consistently in the top 10 world university rankings with the Department of Computing ranked top of the Research Intensity table in the 2014 UK REF assessment. The AESE group won the 2020 President’s Medal for Outstanding Research.

Essential requirements

At Research Fellow level you must have a PhD in Computer Science, Computer Systems Engineering, or Electrical Engineering and Electronics (or equivalent) with strong experience in:

  • Practical sensor system design, coding, and deployment.
  • Signal Processing and Machine Learning
  • Managing Research Assistants, Post-Docs, and PhD students.

The candidate should have knowledge of different programming languages like python or embedded C and can conduct practical experiments that involve collaborations between multiple disciplines or departments is an advantage. Preference will be given to applicants with a proven research record and publications in A-ranked venues in relevant areas.

You must have excellent communication skills and be able to organise your work with minimal supervision and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English. Applicants will be expected to be resident in Singapore and visit Imperial College in London occasionally.

Further information

In addition to completing the online application, candidates should attach:

  • A full CV
  • A 1 page statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
  • Additionally please include any material from your past work that you would like us to consider such as significant papers or thesis.

Informal enquiries related to the position should be directed to Prof J.A. McCann: j.mccann@imperial.ac.uk.

For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk

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

Committed to equality and valuing diversity, 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.

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 where their use is shown to be necessary for developing new treatments and making medical advances. 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. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research


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