The Delft Center for Systems and Control (https://www.dcsc.tudelft.nl) of Delft University of Technology, The Netherlands has a vacancy for a PhD position on "Machine-learning-based multi-sensor detection and classification for cleaning coastal waters using autonomous underwater robots".
In this PhD project we will develop novel machine-learning-based approaches for detection and classification in the context of autonomous unmanned underwater robots for locating, detecting, and collecting unwanted objects from coastal waters and seabeds. This PhD project is part of the Horizon Europe project SeaClear 2.0 (Scalable full-cycle marine litter remediation in the Mediterranean: Robotic and participatory solutions), which is a follow-up project of the ongoing European SeaClear project (see also https://seaclear-project.eu/).
The goal of SeaClear and SeaClear 2.0 is to develop a collaborative, heterogeneous multi-robot solution engaged in collecting marine waste using autonomous underwater robots for cost-effective 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 reliable system capable of tackling a highly relevant social, economic and environmental issue, namely 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 various 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 primary solution directions where the aim is to combine and merge information from e.g. cameras, sonar, magnetic sensors to detect and classify litter, fish, seaweed, etc. At a next stage this can be extended with additional data from surface vessel or aerial drones. For topic (2) we will extend the methods developed in (1) into an integrated model-based decision making approach that is able to use a priori information from e.g. dynamical or behavior models of fish, seaweed, plastic, etc. to further enhance detection and classification.
Who 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 (https://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 this web page.
