Project Officer

Thursday, 30 July 2020
End of advertisement period
Saturday, 29 August 2020
Contract Type
Full Time

The School of Electrical and Electronic Engineering invites application for the position of Project Officer.

Job Description

  • Work on a project to conduct the research on development of frequentist methods for sparse statistical learning used in intelligent transportation systems
  • Analyse the collected high-dimensional low sample size data to find a small number of features that can well explain the behaviour of the data
  • Couple stochastic gradients and Bayesian methods, and propose new portfolio of algorithms that yield results fast and efficiently without sacrificing the performance
  • Study and comparison of the theoretical properties
  • Apply the proposed algorithms to real data and systems to test the performance in the real world
  • Write journal publications, and prepare grant applications

Job Requirements

  • At least a Bachelor's degree in electrical engineering, computer science, statistics or mathematics
  • 3 years of experience in statistical modelling, especially, sparse models
  • Good programming skills (Python, C, or C++)
  • Strong interpersonal skills
  • Excellent presentation skills
  • Publication track record is an advantage
  • Proficiency in English

We regret only shortlisted candidates will be notified.

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