Finally we can announce that we take part in the MIR Master programme and we will be accepting students very soon.
The MIR Master programme innovatively combines robotics, Artificial Intelligence in the context of advancing marine and maritime science and its technological applications. It aims at building the capacity to enable advances in far reaching sea exploration, autonomous and deep sea robots, teleoperations and the use of AI in these endeavours. The MIR Masters is shaped to provide training in state of the art applied robotics targeted at enhancing the efficiency, health and safety as well as environmental performance of the offshore industry and maritime operations.
The MIR is a 2 year master programme attracting high caliber students and professionals from all over the world who already hold a first university degree (min 180 ECTS), in a field related to Robotics or AI such as: automatic control, mechatronics, computer science, electrical engineering, mechanical engineering or applied mathematics. Applicants must have 30 ECTS in mathematics, be fluent in English (min level B2) and have knowledge of one programming language, which will be evaluated through an online admissions exam. Teaching is done in English.
The MIR aims at creating specialists in marine and maritime intelligent robotic systems, providing them with:
- a solid theoretical background of the marine physical processes and technical skills in robotics engineering control systems and sensors,
- grounded knowledge in Artificial Intelligence enabling them to develop cutting edge robotics solutions to real world challenges,
- applied knowledge in subsea and maritime application fields including blue growth of maritime and offshore sectors, as well as deep sea surveillance, subsea resources exploration, offshore structure maintenance and surveillance, e-navigation and maritime security enhancement.
Students completing the MIR Masters will obtain 2 master degrees from the institutions they study in during the first and third semesters. Graduates will be equipped with skills and state of the art knowledge rendering them highly competitive to follow a promising career in robotics engineering for the offshore oil and gas, renewable, naval and maritime sectors. Additionally, the knowledge acquired in the use and function of intelligent robotics for the underwater open multiple opportunities to continue on to a PhD. Essentially a MIR masters graduate will:
- Have a deepened understanding of the marine processes in order to develop robots that will interact in-and-with it. This covers the dynamics of the sea (currents, waves, pressure, etc), the propagation of signals (light, acoustics, etc) and other important aspects (salinity, temperature, biology etc)
- Master the spectrum of sensors/actuators specific to underwater and sea-surface robotics. Understand their functions, limitations and be capable of implementing them on robots and using them.
- Be capable of modelling external forces onto robotic systems and use simulation tools to predict the behaviour in a marine environment.
- Develop and use a control framework for an underwater system. Master the theoretical foundations and practical aspects of control systems.
- Be an expert in data-driven computational approaches to sensing, control, decision-making and autonomous behaviour. Provide maritime robots with Artificial Intelligence (AI) capabilities ranging from perceptual abilities to autonomous motion and navigation planning. • Be proficient in the main Machine Learning techniques and paradigms applicable to robotics. Know the state-of-the-art in ML-based solutions to robotic-specific problems, including Deep Learning applications to computer vision, acoustic sensing and reinforcement learning.
- Tackle surface and underwater technological applications in coastal, offshore, deepsea environments relevant to maritime navigation, surveillance, environmental monitoring, offshore oil and gas and renewables industries.
MIR Consortium
The MSc MIR consortium network MIR Consortium: The MIR MSc relies on an expanding multidisciplinary network of 28 global associate academic institutions in marine/maritime sciences, AI and robotics and 26 leading industry partners in 21 countries. The consortium is formed of 4 main academic partners namely, the Norwegian University of Science and Technology NTNU, the Universitat Jaume I UJI (Spain), the Instituto Superior Técnico IST, University of Lisbon (Portugal), and is coordinated by the University of Toulon UTLN (France).