Erasmus Mundus Joint Master Programme in Imaging

Deadline not listed

Imaging is an undisputed driver of progress in science and technology. New insights into the world are provided every day by the revolutionised imaging science, leading ultimately to a great impact on all aspects of life. Imaging is also a motor for developing and renewing other fields such as biomedicine, robotics, astronomy, security, and defence. To continue this incredible pace of growth, there is strong demand for knowledgeable and skillful experts to advance imaging in many essential aspects, from image sensing principles and models to computational image formation and processing. The programme covers imaging as a transdisciplinary endeavour based on diverse disciplines: signal processing, machine learning, optics and physics of light, computing, computer graphics and visualisation. The partners are educational and research leaders in some of these areas and their complementarity and integration into an EMJM would ensure the sought synergy and added value. The programme is organised in the specialisation tracks of ‘Visual AI’ and ‘Image Modelling and Data-Intensive Imaging’ that share a common first year of fundamental studies in imaging. Seminars and seasonal schools complement the regular courses, whereas an extensive network of academic and industrial Associated Partners provides a wide range of opportunities for internships and theses in co-supervision. 80 students will be funded under the programme, which will be open also to self-financed students, for an expected total of 120 students. The programme provides students with skills and competencies that meet the expectations of the most demanding and competitive engineering jobs in imaging, giving them a chance to contribute and advance fields that are societally important. Ultimately, the programme will strengthen the position of Europe as an imaging powerhouse and increase its competitiveness across the many sectors where imaging plays a critical role.

You'll leave ScholAfrik to apply with IMAGING Erasmus Mundus consortium.