Research Associate at NTU Nanyang Technology University Main OfficeHR
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

10 May, 25

Salary

0.0

Posted On

11 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Communication Skills, Matlab, Electromagnetics

Industry

Electrical/Electronic Manufacturing

Description

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.
Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.
For more details, please view: https://www.ntu.edu.sg/eee
We are looking for a Research Associate who will help developing AI-powered ground penetrating radar (GPR) for accurate imaging of tree roots buried in confined areas.

JOB REQUIREMENTS:

  • MSc in Electrical and Electronic Engineering or related field
  • Solid background in electromagnetics (must) and radar sensing and signal processing (preferred)
  • Experience in the development of AI algorithms (preferred)
  • A publication record (preferred)
  • High academic credentials from a reputable institution
  • Proficiency in Matlab and Phyton
  • Good written and oral communication skills
    We regret to inform that only shortlisted candidates will be notified.
    Hiring Institution: NT
Responsibilities

The Research Associate will work on a project to research on the development of an AI-powered ultra-wideband (UWB) GPR technology. The roles of this position include:

  • Development of AI and signal processing techniques for accurate tree root detection and imaging
  • Enhancement of the existing UWB-GPR technology
  • Performing measurements on the field
  • Fusing the existing technology with other sensing technologies
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