Description

Our client is looking to expand the team with an Artificial Intelligence Scientist that has experience with SLAM. This opportunity can be fully remote or Hybrid in Porto.

Client Details

Our client is a pioneer of large scale marine robotic operations deploying robotic technologies to capture ocean data and deliver maritime solutions whilst minimising our environmental footprint. They are building the world's largest fleet of marine robotic vehicles, offering the safest and most sustainable operations the industry has ever seen. Purpose is to innovate using robotics and technology to transform industries, enabling people and the planet to thrive.

Description

• Develop and implement computer vision algorithms for SLAM-based underwater applications;
• Design and implement cutting-edge state estimation and 3D perception algorithms by fusing data from cameras, IMUs, and other sensors;
• Develop robust calibration systems for sensors, ensuring reliable performance in the underwater environment;
• Research and experiment with new computer vision and machine learning techniques to improve the accuracy and performance of the SLAM algorithms;
• Thoroughly analyze the results of experiments and present findings to stakeholders;
• Work with a cross-functional team in an agile environment;
• Stay up-to-date with the latest developments in computer vision, SLAM, machine learning, and deep learning.

Profile

• Master's or Ph.D. degree in Computer Science, Electrical Engineering, Robotics or related fields;
• 3+ years of experience in developing and implementing visual SLAM algorithms for various applications, such as autonomous vehicles, drones, robotics, and augmented reality;
• Strong understanding of computer vision and machine learning algorithms, particularly for visual SLAM applications;
• Proficiency in programming languages such as Python, and/or C++;
• Experience in using computer vision and machine learning frameworks such as OpenCV, TensorFlow, and PyTorch;
• Experience with sensor fusion algorithms, particularly for navigation and positioning applications;
• Thoughtful, thorough and conscientious;
• Critical thinking and ability to show initiative;
• Open and receptive to new and different ideas

Job Offer

Development within a team focused on suistainable growth and science.

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