Research Fellow, Mechanical Engineering

Updated: about 2 months ago
Job Type: FullTime
Deadline: 20 May 2021

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21/04/2021
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Research Fellow, Mechanical Engineering
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Research Fellow, Mechanical Engineering
Application Deadline: 20/05/2021 00:00 - Europe/London
Contact Details

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Company
NATIONAL UNIVERSITY OF SINGAPORE

  • WEBSITE
    https://www.timeshighereducation.com/unijobs/listing/252123/research-fellow-m...

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  • ORGANISATION/COMPANY
    NATIONAL UNIVERSITY OF SINGAPORE

  • ORGANISATION TYPE
    Higher Education Institute

  • COUNTRY
    Singapore

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  • ORGANISATION/COMPANY
    NATIONAL UNIVERSITY OF SINGAPORE

  • RESEARCH FIELD
    Engineering

  • RESEARCHER PROFILE
    First Stage Researcher (R1)
    Recognised Researcher (R2)
    Established Researcher (R3)
    Leading Researcher (R4)

  • APPLICATION DEADLINE
    20/05/2021 00:00 - Europe/London


  • TYPE OF CONTRACT
    Permanent

  • JOB STATUS
    Full-time

OFFER DESCRIPTION

Job Description

The main role is in the research and development of navigation and path planning strategies for ship hull and similar inspection with a hover capable Autonomous Underwater Vehicle.

The role will entail the following job scope: 

  • Research and implement perception and fusion algorithms utilising camera and sonar. 
  • Research and implement localisation algorithms fusing multiple navigation and sensor sources with SLAM or similar techniques. 
  • Implement navigation and path planning algorithms for ship hull navigation. 
  • Integration of robotics stack with the software architecture. 
  • Test and debug of robotics algorithms in software in the loop simulation. 

Qualifications

  • PhD/Msc in Computer Engineering or Computer Science. 
  • Research or industry experience writing code for complex robotic systems. 
  • Experience with Robot Operating System framework. 
  • Experience with perception and fusion algorithms and libraries including Open-CV, Point-cloud library, Tracking filters, Computer vision techniques. 
  • Experience with AI, deep learning and machine learning algorithms such as YOLO and Faster RCNN. 
  • Experience with SLAM for localisation methods. 
  • Experience with path planning algorithms such as A*STAR. 
  • Proficient in Python and C++. 
  • Proficient in Linux. 

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department: Mechanical Engineering


More Information

EURAXESS offer ID: 631676
Posting organisation offer ID: 252123


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