Research Position

Control Science Research Programme

Research Scientist – Visual Localization and Mapping Algorithm Development

We are offering positions to conduct algorithm development for visual-aided localization and mapping for unmanned aerial vehicles (UAVs). 

We invite a motivated and creative researcher with the relevant qualifications and experience to join us as a Research Scientist. The qualification and requirements are given as follows:

  • PhD Degree in computer science, computer vision, computer engineering, electrical and computer engineering or related field.
  • Good knowledge of visual simultaneous localization and mapping (SLAM).
  • Good knowledge of visual inertial odometry (VIO).
  • Good knowledge of object oriented programming language, and preferably strong experience in C/C++.
  • Good knowledge of computer vision and image processing.
  • Good knowledge of OpenCV libraries.
  • Good knowledge of robot operating system (ROS).
  • Experience in vision based loop closure.
  • Experience in UAV/Robotic simulation and embedded system.
  • Experience in GPU programming

A successful candidate is required to be engaged in the development activities contributing to a vision-aided navigation project. In the software development, the candidate will develop the vision algorithms in a team. Positions will be initially offered for a 2-3 year period, and are renewable according to performance.

 

Associate Scientist – Computer Vision Software Development

We are offering positions to conduct development in computer vision system for unmanned aerial vehicles (UAVs). 

We invite a motivated and creative engineer/researcher with the relevant qualifications and experience to join us as an Associate Scientist. The qualification and requirements are given as follows:

  • Bachelor or Master Degree in computer science, computer vision, computer engineering, electrical and computer engineering or related field.
  • Good knowledge of object oriented programming language, and preferably strong experience in C/C++.
  • Good knowledge of computer vision and image processing.
  • Good knowledge of OpenCV libraries.
  • Good knowledge of robot operating system (ROS).
  • Good knowledge of GPU programing.
  • Experience in UAV/Robotic simulation and embedded system.

A successful candidate is required to be engaged in the development activities contributing to a vision-aided obstacle avoidance project. In the software development, the candidate will work on vision system for UAVs as well as develop and implement the vision algorithms proposed by senior members in the group. In addition, coding in C/++ is also required for UAV control logics. Positions will be initially offered for a 2-3 year period, and are renewable according to performance.

 

Associate Scientist – UAV Software Development

We are offering positions for software development for UAV (Unmanned Air Vehicle) applications. 

We invite developers/engineers/researchers with a strong interest in technology development and the relevant qualifications and experience to join us as an Associate Scientist. The qualification and requirements are given as follows:

  • Bachelor or Master Degree in electronics engineering, computer science, aerospace engineering, computer engineering, mechatronics, mechanical engineering or or related field.
  • Good knowledge of object oriented programming language, and preferably strong experience in C/C++ and Matlab.
  • Good knowledge of software programming best practices would be preferred.
  • Good knowledge of ARM-based embedded software development and implementation would be an advantage.
  • Experience in the UAV / ground control station software development would also be an advantage.

The successful candidate will be engaged in technology development activities contributing to projects involving autonomous UAVs. This covers onboard software implementation, integration and testing. Positions will be initially offered for a 2-3 year period, and are renewable according to performance.


Enquiry

Dr LIN, Feng, email: tsllinf@nus.edu.sg