NANYANG TECHNOLOGICAL UNIVERSITY

Project Officer

Location
Singapore
Posted
Friday, 31 July 2020
End of advertisement period
Sunday, 30 August 2020
Ref
R00000973
Contract Type
Permanent
Hours
Full Time

We are looking for a Project Officer to work on a Temasek Lab funded project on innovative methods for machine learning assisted TDOA-FDOA geolocation in a noisy environment. Following are the major targets of the present project:

  • Extract sufficient statistics in noisy environments
  • Devise highly efficient ML-assisted compressive sensing algorithms suitable for the geolocation applications
  • Estimate the co-ordinates of an emitter using an ML-assisted hybrid TDOA- and FDOA-based method that are independent of structure or preamble of the data
  • Compare the performance of various ML methods with non-ML-based methods
  • Validate the developed methods using real data

Key Responsibilities

  • Conduct in-depth research on the current literature in ML-assisted geolocation and compressive sensing
  • Develop ML-based methods and algorithms to achieve at least 10x improvement in compression against the traditional methods
  • Integrate the traditional TDOA/FDOA-based geolocation approaches with ML

Requirements:

  • Master degree in Wireless communications, signal processing or related fields. Will also consider candidates with good Bachelors (Honours) degree and substantial relevant work experience.
  • Good experiences in one or more of the following areas: Geolocation identification algorithms, Communication system design, Wireless Communications, Compressed sensing and machine learning algorithms
  • Excellent programming skills in MATLAB, SIMULINK, C/C++, etc
  • Excellent analytical, technical and problem solving skills
  • Good publication record in reputable journals and/or conferences
  • Innovative, resourceful, and self-motivated.
  • A team player with good people skills
  • Strong verbal and written communication skills

We regret that only shortlisted candidates will be notified.

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