collageThe International Master’s Degree Programme in Marine and Maritime Intelligent Robotics is a two year (120 ECTS) Erasmus Mundus Master’s Degree Programme that is taught in English.
The Marine and Maritime Intelligent Robotics Master innovatively combines Robotics and Artificial Intelligence in the context of advancing marine and maritime science and their technological applications.
The programme of study aims at building the capacity of future engineers to enable advancements in the development and operation of new robotics systems with far-reaching impact on techniques necessary for ocean exploration and exploitation.
Study at two European universities
The Master’s Degree Programme in Marine and Maritime Intelligent Robotics is a collaboration between four leading universities in Europe.
You will get to study at two of the partner universites, spending at least one semester at each. You graduate with a double master’s degree from the two universities.
The universities participating in the Erasmus Mundus Master’s Degree Programme in Marine and Maritime Intelligent Robotics are:
- Norwegian University of Science and Technology (NTNU)
- Universitat Jaume I (UJI)
- University of Lisbon
- University of Toulon
The coordinator of the Erasmus Mundus Master’s Degree Programme in Marine and Maritime Intelligent Robotics is University of Toulon.
You will find more Information on study tracks, programme structures and courses on University of Toulon’s webpage.
Objectives / general presentation
The Master of Science in Intelligent Marine and Maritime Robotics (MIR) combines robotics and artificial intelligence in an innovative way in the context of the development of marine and maritime sciences and their technological applications. It aims to shape skills for advances in sea-related fields, in particular in the implementation of autonomous marine and underwater robots with remote operating capabilities, and in the use of artificial intelligence in these fields.
The MIR consortium is composed of four main academic partners, the Norwegian University of Science and Technology (NTNU), the Jaume I University (UJI, Spain), the Instituto Superior Técnico (IST-UL, Portugal) and the University of Toulon (UTLN, France) as coordinator. The network includes more than fifty associated industrial and academic partners, specialized in marine sciences, artificial intelligence and robotics.
The first year of the Master’s degree is taken in France at UTLN, in order to obtain a solid training in marine sciences, robotics and artificial intelligence, and to follow specialized seminars in industry. In the second year, students choose a specialization in Underwater Intervention at UJI, Autonomous Underwater Operations at NTNU, or Cooperative Robotics for Marine Vehicles at IST.
Educational managers
- Coordinator of the programme : Ricard Marxer, marxer@univ-tln.fr, associate professor
- Vincent Hugel, vincent.hugel@univ-tln.fr, University professor, in charge of the M1.
- Ingrid Schjølberg, ingrid.schjolberg@ntnu.no, University Professor, in charge of the M2, NTNU, Norway.
- António Pascoal, antonio@isr.ist.utl.pt, University Professor, in charge of the M2, IST-UL, Portugal.
- Pedro J. Sanz, sanzp@uji.es, University Professor, in charge of the M2, UJI, Spain.
Content of the courses
SEMESTER 1 (UTLN)
Induction week
TU11 Transversal skills 1
– Scientific writing techniques (1 ECTS)
– Innovation, design thinking and co-creation (3 ECTS)
– English / French (-)
TU12 Marine environment
– Fundamental principles of marine and coastal processes (5 ECTS)
– Underwater acoustics (2 ECTS)
TU13 Robotics
– Geometric, kinematic and dynamical modeling of robotic systems
(2.5 ECTS)
– Modelling of marine systems (2.5 ECTS)
– Control theory of multivariable linear systems (5 ECTS)
TU14 Artificial intelligence
– Machine learning (3 ECTS)
– Deep learning (3 ECTS)
– Reinforcement learning (3 ECTS)
SEMESTER 2 (UTLN)
TU21 Transversal skills 2
– Risk and reliability engineering and AI potential (1 ECTS)
– Legislation on international water and autonomous vehicles (1 ECTS)
– Fairness, accountability and transparency in AI (1 ECTS)
– English / French (-)
TU22 AI and Robotics applied skills
– Actuators / sensors (2.5 ECTS)
– Advanced control for autonomous vehicles (3 ECTS)
– Optimization techniques (2 ECTS)
– Data-driven machine perception (3 ECTS)
– Adaptive autonomous robotic behaviour (2.5 ECTS)
– Marine localization and mapping (1.5 ECTS)
– Explainable artificial intelligence (1 ECTS)
TU23 Joint study tracks introductory skills
# Underwater interventions (1.5 ECTS)
# Autonomy in subsea operations (1.5 ECTS)
# Cooperative robotics (1.5 ECTS)
TU24 Industrial seminars
– Deep-sea drones and missions (2 ECTS)
– Underwater acoustic sensors (1 ECTS)
– Entrepreneurship – Industry and Research Project (2 ECTS)
– Intelligent robotics for seabed resources exploration (1 ECTS)
– Artificial intelligence and shipping (1 ECTS)
Annual Symposium and Robotics-AI Championship.
SEMESTER 3
Specialization Applied robotics for underwater intervention mission (Spain)
- Perception and Manipulation (4 ECTS)
- Multi-robot systems (4 ECTS
- Cognitive processes (4 ECTS)
- Underwater wireless communication (4 ECTS)
- Telerobotics and human-robot interface (4 ECTS)
- Robotic intelligence (4 ECTS)
- Transversal skills (4 ECTS)
- Spanish (-)
Specialization Safe autonomous subsea operations (Norway)
- In-depth study in marine robotics (7.5 ECTS)
- Introduction to autonomous robotic systems (7.5 ECTS)
- Digital twin for autonomous marine robotics (3.75 ECTS)
- Safe and autonomous subsea operations (3.75 ECTS)
- Advanced methods in risk analysis (3.75 ECTS)
- Underwater technology (3.75 ECTS)
- Research methods and scientific writing (4 ECTS)
- Norwegian (-)
Specialization Cooperative marine robotics for scientific and commercial applications (Portugal)
- Optimization and algorithms (4 ECTS)
- Decision-making systems (4 ECTS)
- Autonomous systems (4 ECTS)
- Embedded computational systems (4 ECTS)
- Distributed real-time control systems (4 ECTS)
- Telecommunication networks (4 ECTS)
- Entrepreneurship, innovation and technology transfer (4 ECTS)
- Portuguese (-)
Internship
- In M1 : No compulsory internship planned in M1 but a tutored project is integrated into the curriculum.
- In M2 : Internship lasting 4 to 6 months.
Additional information if necessary
This training is supported by two research laboratories at UTLN : LIS (http://www.lis-lab.fr) and COSMER (http://cosmer.univ-tln.fr/), the laboratories of our three academic partners and some fifty associated industrial and academic partners around the world.
Job opportunities
- R&D engineer in robotics, automation, mechatronics, autonomous embedded systems with applications in the marine and maritime fields
- R&D engineer in the field of Artificial Intelligence,
- Researcher, research fellow (after obtaining a thesis)
- Senior Lecturer (after obtaining a thesis),
- DGA specialist,
- Project manager.
Terms and conditions
Conditions of access
- Admission in M1 : No direct access. You must fill in an application form in English.
- Admission to M2 :
Students must be enrolled at the University of Toulon : you validate your M1, you can re-register at M2 level after obtaining your final results (1st and 2nd sessions). The M2 will take place at one of the three academic partners : IST-UL (Portugal), UJI (Spain), or NTNU (Norway).
Registration
Applications on http://www.master-mir.eu/
The first year of this master’s degree is the MIR programme of the Master’s degree in Complex Systems Engineering (ISC), subject to validation by the CFVU and the CA.
FRENCH VERSION
GENERAL INFORMATION
- Duration of studies : 2 years
- Location : 1st year of M1 : University of Toulon, La Garde campus, 2nd year : UJI – Castellón (Spain), NTNU – Trondheim (Norway), or IST-UL – Lisbon (Portugal).
- Language : English.
CONTACTS
Coordinator of the MIR programme : Ricard Marxer
Internationalization officer : Kalliope Prud’homme
Education manager : Vincent Hugel
E-mail : mir-candidate@univ-tln.fr
Campus de La Garde • Avenue de l’Université • 83130 LA GARDE
- Further Information
Graduates of this Master’s program will have a firm grasp of the technical design of autonomous systems, and in particular will be able to:
- develop methods to achieve system autonomy
- design electronic and mechanical hardware components and understand their interactions
- define the appropriate sensors and process the information provided by these sensors
- understand the key elements of a robotics expedition: robot location, communication with and between robots, environment mapping
- integrate all these elements in a robotic system.
The project aspect of this program focuses on the adaptation of these robotic techniques to the maritime sector.
The program offers a good balance between theory and practice. It includes an introduction to the realities of the workplace (“Systems Engineering” approach) to promote a smooth and rapid transition to the working world.
This Master program also offers a gateway to PhD studies.
This program is or can be taught in English. All students may take their exams in EnglishPROGRAM STRENGTHSNUMEROUS PARTNERSHIPS
30% of the courses are taught by industrial and institutional partners, for full awareness of the current challenges related to complex mobile robotics systems.
A PRACTICAL PROGRAM FEATURING PROJECTS AND INTERNSHIPS
From year one (M1), the students apply their theoretical knowledge through a project involving the study and construction of robots. These robots may be autonomous underwater vehicles (AUVs), motorized surface vessels or sailboats, drones, robots able to operate in different environments, etc.
In year two (M2), the students are involved in a project which combines the development of a prototype and/or processing methods for the development of a proof of concept on Lake Guerlédan. Two field trips are organized: the first in October and the second in March.
This MSc program in Mobile Robotics is accredited by the French Ministry of Higher Education and Research.
OPTIMAL TRAINING CONDITIONS
ENSTA Bretagne is located in Brest on a modern 7 ha (17 ac) campus comprising a research center and all the equipment and facilities that are key to a first-class education: lecture halls, IT resources including specialized software, trial tanks, project rooms, 3D printers, sports facilities, a cafeteria, a media library…
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