Associate Scientist (Flight Sciences)

National University of Singapore; Singapore; Vor Ort; SGD 55.000 - 75.000; Vollzeit

Zusammenfassung

National University of Singapore invites applications for the position of Associate Scientist to join our R&D efforts in Drone Autonomy, Swarm Autonomy, Radio Navigation, Fault Prediction and Fault Tolerant Control. The role welcomes candidates who can contribute across multiple disciplines and participate in field trials.

The successful candidate will conduct both research and engineering activities, collaborating with teams to solve complex drone-related challenges and advance autonomous

Qualifikationen

• Bachelor's degree in Mathematics, Physics, or Engineering/CS with background in dynamics, estimation, navigation, guidance, or control.
• Experience or background in signal processing, optimization, algorithms, computer vision, AI, data science, software or embedded systems for drones.

Aufgaben

• Conduct both research and engineering work, and participate in outdoor field trials.
• Ability to work independently as well as in teams with good communication.
• Address challenging problems related to Drone Autonomy, Swarm Autonomy, Radio Navigation, Fault Prediction and Fault Tolerant Control for Drones.

Ausbildung

Bachelor's degree in Mathematics, Physics, or Engineering/CS fields

Jobbeschreibung

We regret that only shortlisted candidates will be notified.

Job Description

Applicants are invited for the position of Associate Scientist to participate in research and development of solutions to challenging problems associated with Drone Autonomy, Swarm Autonomy, Radio Navigation, Fault Prediction and Fault Tolerant Control for Drones. These are multi-disciplinary areas and applicants who can contribute in any aspect are welcomed.

Key Responsibilities

• Applicants are expected to conduct both research and engineering work, and participate in outdoor field trials.
• Ability to work independently as well as in teams and good communication skills are essential.
• Experience in research and development of solutions to challenging problems associated with Drone Autonomy, Swarm Autonomy, Radio Navigation, Fault Prediction and Fault Tolerant Control for Drones.
• Ability to work independently and good communication skills are essential.

Qualifications

The applicant should possess a Bachelors degree in the area of Mathematics, Physics, or Aeronautical, Mechanical, Electrical, Electronics, Computer, Software, Industrial Engineering, or Computer Science with background in dynamics, estimation, navigation, guidance, control, signal processing, optimization, algorithms, computer vision, artificial intelligence, data science, software development, drone development or embedded system development.