Research Fellow - Robotics Software Engineer

You will play a key role in advancing the autonomy and data intelligence of underwater robotic systems for the inspection of submerged infrastructure. Working closely with stakeholders — and in collaboration with BeeX’s field-proven AUV platforms — you will design, test, and validate algorithms that enhance situational awareness, reliability, and automation of underwater missions.

· Design and implement algorithms for structural anomaly detection from sensor data (e.g. camera, forward looking sonar, multi-beam sonar, etc.).

· Conduct simulation and field trials, including data collection, processing, and analysis.

· Work with cross-disciplinary teams to integrate algorithms into operational AUV platforms.

· Prepare technical documentation, research publications, and project deliverables.

o PhD (or near completion) in Electrical/Mechanical Engineering, Computer Science, or a related discipline.

o Candidates without PhD but with strong technical competency and relevant experience will also be considered for this role

o Strong foundation in autonomous systems, robotic perception and 3D computer vision

o Proficiency in Python/C++ and ROS (Robot Operating System)

o Experience in machine learning and signal processing for anomaly detection.

o Familiarity with 3D reconstruction and point cloud processing

o Understanding of sensor fusion and navigation algorithms

o Hands-on experience with AUVs, ROVs, or other field robotics systems.

o Experience in structural defect detection based on visual and/or 3D point cloud

o Exposure to deep learning frameworks (TensorFlow, PyTorch) for perception tasks.

o Knowledge of autonomous mission planning

o Familiarity with Linux, Docker, and version control systems (Git).

o Previous work in infrastructure inspection, marine sensing, or predictive maintenance applications.

o Strong analytical and problem-solving mindset.

o Self-motivated and proactive in research execution.

o Excellent communication and teamwork skills across academic and industry partners.

o Willingness to participate in field deployments and trials.