PhD Scholarship in Machine Learning-based Detection and Categorization for Robust Autonomous Ship Perception

Technical University of Denmark, Denmark is offering PhD position in computer science. Applications are invited up to September 15, 2019.

The Automation and Control Group at the Department of Electrical Engineeringinvites applicants for 3-years PhD position in the area ofMachine Learning-based Detection and Categorization for Robust Autonomous Ship Perception. The goal of this PhD project is to develop novel and robust vision algorithms for object detection and categorization, to be used on ships during autonomous operation.

The PhD project is funded by the ShippingLab Autonomy Work Package (WP). Thus, this PhD project will be an integral part of a broader research team, consisting of multiple PhD students and senior academic staff. The research team will focus on vision-based machine learning for object detection in sea, as well as on multi-sensor state estimation for ship perception. The PhD candidate will participate in measurements, test and validation at sea. The candidate is expected to be dedicated, productive and ambitious team player, who wish to obtain an international level in her/his area. Scientific publication and experimental validation of results will be part of the PhD project. Presentation at international conferences will be part of the research training and elements of didactics will be obtained through experience as a teaching assistant. The PhD student will have the opportunity to work together with high profile partners in the maritime domain, since the Autonomy WP of the ShippingLab project is a joint effort between DTU (Kgs. Lyngby), SIMAC, Wrtsila-Lyngs Marine, Logimatic Engineering, Danelec Marine, TUCO Marine, DFDS, Danske Frger and a Harbor Bus Operator.

Are you interested in autonomous ships? The goal of this PhD project is to develop novel and robust algorithms for object detection and categorization, to be used on ships during autonomous operation. You will be responsible for research of methods and deep learning architectures in combination with other techniques. Your goal will be the analysis of images, and possibly of data from further sensors, such that detection and categorization errors are minimized. Your research will include incremental updating of recognition models as experience is accumulated. The developed techniques need to enable operability over long periods of time, supporting safe operation at all times.

Your research will revolve around: Candidates should have a two-year master’s degree (120 ECTS points)in Robotics, Electrical Engineering, Computer Science or equivalent,or a similar degree with an academic level equivalent to a two-year master’s degree.

Candidates may apply prior to obtaining their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender,race, disability, religion or ethnic background are encouraged to apply.

DTU Electrical Engineering educates students within electrical engineering technologies. We offer studies at BEng, BSc, MSc and PhD levels, and participate in joint international programmes. We conduct state-of-the-art research within antenna and microwave technology, robot technology, power and physical electronics, acoustic environment, electro-acoustics, electric power and energy. Our department has more than 200 members of staff. DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent university collaborating globally with business, industry, government and public agencies.

Deadline: September 15, 2019
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