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Job ID: 252652

Research Associate (AI-Powered Ground Penetrating Radar)
Nanyang Technological University


Date Posted Feb. 4, 2025
Title Research Associate (AI-Powered Ground Penetrating Radar)
University Nanyang Technological University
Singapore, Singapore
Department School of Electrical and Electronic Engineering
Application Deadline Open untill filled
Position Start Date Available Immediately
 
 
  • Research Scientist/Associate
  • Electrical and/or Electronics
 
 

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.

 

Key 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

 

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.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
Please see the job description for contact details
pertaining to this university job announcement.

 

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