The Delft Center for Systems and Control (https://www.dcsc.tudelft.nl) of Delft University of Technology, The Netherlands has a vacancy for a 4-year PhD position on "Machine learning for multi-sensor detection and classification for autonomous underwater robots".
In this PhD project we will develop novel machine-learning-based approaches for detection and classification for underwater robots using video, sonar images, and magnetic sensor data. The overall aim is to locate, detect, and collect unwanted objects from coastal waters and seabeds. In this way the project contributes to keeping coastal waters clean, to protecting the environment, and to realizing global sustainability objectives.
This PhD project is part of the Horizon Europe project SeaClear2.0 (Scalable full-cycle marine litter remediation in the Mediterranean: Robotic and participatory solutions, see also
https://www.seaclear2.eu).
The goal of SeaClear2.0 is to develop a collaborative multi-robot solution engaged in collecting marine waste using autonomous underwater robots. The aim is to realize efficacious marine litter detection and collection, while at the same time minimizing impact on underwater flora and fauna like seaweed and fish. This goal will be reached by bringing together state-of-the-art technologies from the fields of machine learning, control. optimization, and marine technologies and by building a stable and trustworthy system that is able of tackling sea and ocean pollution.
In this PhD project we will focus on two main topics:
(1) the development of novel multi-sensor detection, identification, and classification methods for underwater litter using the different sensors on-board of the underwater robots, and
(2) integration of model-based and data-driven approaches for multi-sensor data fusion and detection classification of underwater litter.
For topic (1) deep learning and multi-sensor fusion will be the principal solution directions where the aim is to combine and merge information from cameras, sonar, magnetic sensors to detect and classify litter, fish, seaweed, etc. At a next stage this can be extended with extra data from surface vessel or aerial drones.
For topic (2) we will extend the methods developed in topic (1) into an integrated model-based decision making approach that is able to use a priori information from dynamical or behavior models of fish, seaweed, plastic, etc. to further enhance detection and classification.
What are we looking for?
This position is perfect for you if you have an MSc degree in systems and control, applied mathematics, AI, computer science, electrical engineering, or a related field, and a strong background or interest in systems & control and/or machine learning. You are also expected to work on the boundary of several research domains. A good command of the English language is required.
What do we offer?
We offer the opportunity to do scientifically challenging research in a multi-disciplinary research group. The appointment will be for up to 4 years. The PhD student will also be able to participate in the research school DISC (http://www.disc.tudelft.nl). As an employee of the university you will receive a competitive salary, as well as
excellent secondary benefits. Assistance with accommodation can be arranged.
More information on this position and on how to apply can be found at
https://www.dcsc.tudelft.nl/~ bdeschutter/vac/
