Question 1

What qualifications are required for this Research Fellow position at NUS?

Accepted Answer

Candidates must hold a Ph.D. in Electrical Engineering , Computer Science , Robotics , Mechanical Engineering, Aerospace, or Mathematics. Substantial experience in robotic state estimation , SLAM , LIO , or VIO is essential, along with a strong publication record in top robotics venues. Explore more research jobs or postdoc success tips .

Question 2

What are the key responsibilities in VIO/LIO state estimation research?

Accepted Answer

The role involves developing robust state estimation algorithms using LIO , VIO , and multi-sensor fusion for UAVs and agile robots. Responsibilities include theoretical development, real-time implementation with EKF/UKF , factor graph optimization, meta-learning integration, and validation via simulations (Gazebo/AirSim) and real-world experiments. Mentoring junior PhD students is also required. See related research assistant roles .

Question 3

What technical skills are needed for this NUS Research Fellow job?

Accepted Answer

Proficiency in C++ or Python , ROS , and robotic middleware is required. Experience with UAV systems (e.g., PX4), sensor calibration, Gazebo /AirSim simulations, and frameworks like factor graph optimization or MHE is highly desirable. Background in challenging environments (low texture, dynamic scenes) is key. Check research assistant skills guide .

Question 4

What is the contract duration and extension process?

Accepted Answer

The initial appointment is 12 months , extendable based on performance evaluation. It is a fixed-term contract in the Department of Electrical and Computer Engineering at NUS Kent Ridge Campus. Open to research staff committed to long-term projects. View postdoc positions for similar terms.

Question 5

How to apply for this VIO/LIO State Estimation Research Fellow role?

Accepted Answer

Applications are open until 2026-06-29 . Submit via the NUS portal with CV highlighting publications , research experience in state estimation , and references. Strong communication skills for publishing/presenting are valued. Posting starts 22/04/2026 . Learn more about writing a winning academic CV .

Question 6

What research areas does this position focus on at NUS?

Accepted Answer

Focus on Meta-Learning of Robust State Estimation for agile mobile robots, emphasizing LIO , VIO , multi-sensor fusion, and learning-enhanced methods (filtering, factor graphs, MHE) for challenging environments. Validation on UAV platforms . Ideal for experts in robotics perception. Browse NUS research opportunities .

Research Fellow (VIO/LIO & State Estimation)

National University of Singapore (NUS)

Kent Ridge Campus

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