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Research Associate (UAV Swarm Platform Design)

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Job Description

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 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 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 seeking a highly motivated Research Associate to support in the AeroMaze Challenge, where a swarm of UAVs autonomously explores unknown environments to search for potential threats. The role focuses on UAV platform development and system integration, contributing to CSIE's mission of advancing autonomous multi-agent systems for national defence applications.

Key Responsibilities:

. Design and develop hardware and software platforms for UAV swarm operation.

. Develop modular architectures for multi-agent coordination, sensing, and communication.

. Integrate sensor suites, flight controllers, and swarm coordination algorithms into UAV platforms.

. Conduct field experiments and system validation for UAV swarm behaviors.

. Prepare technical reports.

Job Requirements:

. Master in Electrical Engineering, Aerospace Engineering, Robotics, or related fields.

. Strong experience in UAV hardware design, embedded systems, and real-world flight testing.

. Proficient in multi-agent system integration and middleware (e.g., ROS 2, PX4, MAVLink).

. Hands-on experience with communication systems (e.g., Wi-Fi mesh, 4G/5G, UWB).

. Familiarity with swarm algorithms and real-time control systems is highly desirable.

. Strong programming skills in C++/Python.

. Excellent communication and collaboration skills.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

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Job ID: 136992463

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