In this postdoc project we will develop novel machine-learning-based approaches for classification and control in the context of autonomous unmanned underwater, surface, and aerial vehicles for locating, detecting, and collecting unwanted objects from coastal waters and seabeds, while safeguarding marine life.
The postdoc project is part of the European H2020 project SeaClear (SEarch, identificAtion and Collection of marine Litter with Autonomos Robots). The goal of SeaClear is to develop a collaborative, heterogeneous multi-robot solution engaged in collecting marine waste using autonomous underwater, surface, and aerial vehicles for cost-effective marine litter detection and collection. This goal will be reached by bringing together state-of-the-art technologies from the fields of machine learning, sensing, manipulation, aerial and marine technologies and by building a stable and reliable  system capable of tackling a highly relevant social, economic and environmental issue: ocean pollution. In the postdoc project we will primarily focus on the development of novel identification and classification methods for both debris and marine life using the various sensors on-board of the underwater, surface, and aerial vehicles. In addition, we will also explore the integration with control tasks such as moving to the debris object and grasping it while avoiding any harm to marine life. To address these topics we will use deep learning as well as a combination of cooperative and distributed control, model-based control, and reinforcement learning.

Department
The department Delft Center for Systems and Control (DCSC) of the faculty Mechanical, Maritime and Materials Engineering, coordinates the education and research activities in systems and control at Delft University of Technology. The Centers' research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. The research is motivated by advanced technology development in physical imaging systems, renewable energy, robotics and transportation systems.

We are looking for a candidate with an PhD degree in systems and control, computer science, applied mathematics, or a related field, and with a strong background or interest in machine learning, in particular deep learning and reinforcement learning. Additional experience in model-based and optimization-based control is an asset. The candidate is expected to work on the boundary of several research domains. A good command of the English language is required.

Fixed-term contract: 2 years.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication: €3389-€4274 per month). The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

The position can either be a full-time one, or if the successful candidate requests it, a part-time one (80% or higher).
In accordance with the equal opportunity policy of Delft University of Technology female candidates are in particular encouraged to apply.

Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation. For generations, our engineers have proven to be entrepreneurial problem-solvers both in business and in a social context. TU Delft offers 16 Bachelor’s and 32 Master’s programmes to more than 23,000 students. Our scientific staff consists of 3,500 staff members and 2,800 PhD candidates. Together we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact!

Faculty Mechanical, Maritime and Materials Engineering

The Faculty of 3mE carries out pioneering research, leading to new fundamental insights and challenging applications in the field of mechanical engineering. From large-scale energy storage, medical instruments, control technology and robotics to smart materials, nanoscale structures and autonomous ships. The foundations and results of this research are reflected in outstanding, contemporary education, inspiring students and PhD candidates to become socially engaged and responsible engineers and scientists. The faculty of 3mE is a dynamic and innovative faculty with an international scope and high-tech lab facilities. Research and education focus on the design, manufacture, application and modification of products, materials, processes and mechanical devices, contributing to the development and growth of a sustainable society, as well as prosperity and welfare.

Click here to go to the website of the Faculty of Mechanical, Maritime and Materials Engineering.