PhD Researcher in Robotics and Machine Learning
1 week ago
Accurately mapping large-scale infrastructure assets is a complex challenge for robots.
The problem becomes even more difficult when we ask robots to map structures with intricate geometry or when the appearance or the structure of the environment changes over time, for example due to corrosion or construction activity.
The problem difficulty is increased even more when sensor data from a range of different sensors (e.g. lidars and cameras, but also more specialized hardware such as gas sensors) need to be integrated; and when the sensor data is gathered by multiple heterogeneous agents (e.g. robots, drones, or human-operated sensor platforms of different kinds).
Extracting insights and knowledge from the created maps is another ongoing challenge, especially when the requested insights are of semantic or similar high-level nature, or not even fully known at the time of creating the representation.
This PhD project lets you develop new algorithms that enable robots to better map, represent, and understand the world around them.
You will work closely with researchers from the QUT Centre for Robotics, Emesent, and other leading institutions to develop innovative solutions for mapping and understanding complex environments.
The project will investigate novel algorithms that can efficiently construct and maintain an implicit neural field representation from diverse sensor data, and develop new methods to extract high-level semantically meaningful information and insights from the resulting representation.
Key Research Activities:
- Investigate novel algorithms for integrating multi-modal sensor data in large-scale environments.
- Develop new methods to extract high-level semantic knowledge and insights from a large-scale implicit representation.
Skills & Experience:
- Strong background in machine learning and robotic vision.
- Excellent programming skills in Python.
- Good teamwork, communication, and intrinsic motivation.
About QUT:
The QUT Centre for Robotics conducts world-leading research in intelligent robotics, translates fundamental research into commercial and societal outcomes, and provides leadership in technological policy development and societal debate.
We are proud of our beautiful and big modern lab space and research environment, and we support a flexible working environment and a diverse and inclusive atmosphere.
We have two fully-funded PhD positions available for this project, each with a tax-free stipend of $40,000 per year.
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