Question 1

What are the key qualifications for this Research Engineer role at NUS?

Accepted Answer

Candidates need a Bachelor’s degree in Computer Engineering, Science, Electrical Engineering, or related fields. Essential experience includes robot perception , state estimation , SLAM , or sensor fusion . Preferred: LWIR thermal imaging , VIO , EKF/UKF , C++/Python , ROS , and UAV systems like PX4. Strong math skills in linear algebra and optimization required. Explore research jobs or research role tips for preparation.

Question 2

What responsibilities involve LWIR perception and UAV state estimation?

Accepted Answer

Develop LWIR-based odometry and thermal-inertial state estimation for UAVs in degraded conditions (low light, fog, smoke). Implement multi-sensor fusion with IMU, model-based (filtering/optimization) and learning methods. Handle system integration, embedded deployment on UAVs, sensor calibration , and real-world testing indoors/outdoors. Check similar research assistant jobs for insights.

Question 3

What is the employment duration and type for this NUS position?

Accepted Answer

Initial 12-month fixed-term contract as Research Staff , extendable based on evaluation. Located at Kent Ridge Campus . Open to fixed-term; no salary or visa details specified. See higher ed jobs for contract norms.

Question 4

What technical skills and tools are required for UAV odometry development?

Accepted Answer

Proficiency in C++ or Python , ROS for real-time systems. Familiarity with PX4 UAV , simulations like Gazebo or AirSim . Knowledge of feature extraction in low-texture, sensor calibration , and embedded platforms like NVIDIA Jetson . Publications in robotics valued. Visit research jobs for tool guides.

Question 5

How to apply and what makes a strong candidate for this role?

Accepted Answer

Apply via the NUS portal before 2026-06-29 . Strong candidates show analytical skills , robotics projects/publications, and communication for research outputs. Experience in world-class research environments preferred. Tailor your CV with free resume template and review research assistant advice .

Question 6

Are there preferences for non-RGB sensing or challenging environments?

Accepted Answer

Highly preferred: thermal (LWIR) imaging , event cameras, or non-RGB modalities. Expertise in low-texture/low-SNR conditions , factor graph optimization , or MHE . Ideal for UAVs in smoke, fog, texture-sparse settings. Learn more via related research jobs .

Research Engineer (LWIR Perception & UAV State Estimation)

National University of Singapore (NUS)

Kent Ridge Campus

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