MINES ParisTech, in partnership with the IRCAM (France), the Center for Research and Technology Hellas (Greece), the Idiap Research Institute (Switzerland) and the INREV Paris8 University (France), launches AIMove, a Post Master’s Degree in "Artificial Intelligence (AI) and Movement in Industries and Creation". The international postgraduate program, taught in English, will start in October 2018. For MINES ParisTech, AI topics are strategicin training the scientists and engineers of the 21st century.
IRCAM is a partner in the interdisciplinary AIMove postgraduate program focused on creative industries such as music, design, and performances. IRCAM researchers and developers will intervene in the module "Human, Machines and Connected Objects" and in the course "Movement-Based Interactive Systems and Sonification". The UMR STMS Interaction Sound Music Movement team is an expert in this domain with experience gained through the leadership of numerous European and French research projects (Interlude, Legos, CoSiMa).
Students will be invited to take part in the upcoming international conference “MOCO – Movement and Computing” initiated by IRCAM in 2016. This conference is dedicated to human movement, its representations, and digital transformations.
Artificial Intelligence is currently at the center of discussions and debates that go beyond the digital field, because of the changes it will entail. Developing intelligent machines for improving collaboration, living and learning, has not only economic but also social consequences. Companies and Society are facing a real need to find professionals with AI expertise coupled with the use of human movement for the interaction between man and machine. The Post-Master’s Degree AIMove aims at promoting an interdisciplinary AI engagement, in order to meet the industrial challenges of AI applications in relation to the body and movement.
The AIMove program will train:
- Experts in movement engineering, prepared to take responsibility in the industry, integrating motion
capturing, machine learning and movement-based interaction; - Project managers able to conceive, implement and take over interactive systems or intelligent workspace projects by enhancing the sensorimotor and cognitive capabilities of the user.
The Post-Master’s Degree AIMove consists of a 6-month course, including an after-school program with workshops, international conferences, a think-tank and a Summer School, implemented with the association GAIIA (Gesture & Artificial Intelligence in Industry and Arts). The curriculum is built around 6 main modules :
- AI and societal challenges
- Motion capture, modeling and gesture recognition
- User Interaction/User Experience (UI/UX)
- Humans, machines and connected objects
- Movement and European industrial leadership
- Interdisciplinary AI engagement
The training is completed by a 6-month mission in a company.
« This unique program brings together the leading European professionals in the sector to train future engineers experts in AI and human movement. The industries concerned are the factory of the future, the automotive industries and the self driving cars, as well as the medical, cultural and creative industries. The expert engineer in motion capture and AI will be able to take on responsible roles in machine learning, collaborative robotics, IoT, innovation management for the industry 4.0, design of movement-based interactive systems based on human movement… » Sotiris Manitsaris is the Director of AIMove and Senior Researcher at the Center for Robotics of MINES ParisTech.
Registrations and recruitment are open until July 15th 2018. Applications are open for candidates with a fiveyear university degree in engineering, computer science, mathematics, automation, electronics or other relevant discipline or four-year university degree together with at least three years of professional experience. AIMove is an English taught program and all applicants must be able to provide evidence of competency in English. The AIMove English language requirements: IELTS: 6.5 overall with at least 6.0 in each category.