Call For Papers: EMVA Young Professional Award 2016
It is the goal of the European Machine Vision Association EMVA to further innovation in our industry, to contribute to the important aspect of dedicated machine vision education and to provide a bridge between research and industry.
With the Young Professional Award the EMVA would like to specifically encourage students and young scientists from European institutions to focus on challenges in the field of machine vision and to apply latest research results and findings in computer vision to the practical needs of the machine vision industry.
The criteria of the works to be presented for the EMVA Award are:
Outstanding innovative work in the field of vision technology with industrial relevance. The targeted industry is free of choice. Commercialization is possible but not required to be implemented already.
Work has to be made within the last 12 months by a student or young researcher during their education at an European institution or in collaboration with an European institution. Meanwhile the applicant may have entered the professional field.
For application a short abstract of 2 pages in English language describing the work and a short bio of the author of the work has to be submitted to the EMVA Secretariat, Ms. Natalia Soto, at email@example.com, not later than April 8th 2016.
The winner of the award will be announced at the 14th EMVA Business Conference 2016 taking place June 09-11 in Edinburgh, Scotland, United Kingdom, and will have the opportunity to present the awarded work to the machine vision industry leaders from Europe and abroad. This presentation will be covered by the international machine vision press leading to further publication options on an international level.
Connected to the honor of the EMVA Young Professional Award and the publicity for the research work is a free conference pass for the EMVA conference as well as the coverage of all travel cost.
European Machine Vision Association
Founded in May 2003 in Barcelona, the European Machine Vision Association currently has about 100+ members representing more than 20 nations. Its aim is to promote the development and use of machine vision technology and to support the interests of its members - machine vision companies, research institutions and national machine vision associations. The main fields of work of EMVA are: standardization, statistics, the annual EMVA Business Conference and other networking events, European research funding, public relations and marketing. To find out more visit the web site www.emva.org.