The European Machine Vision Association has launched its annual EMVA Young Professional Award.
This prestigious industry award honours the outstanding and innovative work of a student or a young professional in the field of machine vision or computer vision.
The 2020 winner will receive their award at the 18th EMVA Business Conference, which is being held in Sofia, Bulgaria, June 25th-27th. The winner will also receive 1,500 euros and the opportunity to present their work to the machine vision industry leaders from Europe and further afield.
In addition, the winner will also secure free delegate pass to the European Machine Vision Forum 2020 being held in Cork, Ireland, over September 11-12.
The EMVA award is designed to support 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.
Applications are invited from students and young scientists from European institutions that focus on challenges in the field of vision technology and that 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:
(1) Outstanding innovative work in the field of vision technology. Industrial relevance and collaboration with a company during the work is required. The targeted industry is free of choice.
(2) Work (master thesis or PHD thesis) has to be made within the last 12 months at (or in collaboration with) a European institution. Meanwhile the student may have entered the professional field.
To enter, a short abstract of one to two pages in the English language has to be submitted to the EMVA Secretariat, Ms. Nadine Kubitschek, at firstname.lastname@example.org by May 11th, 2020.
The most recent winner was Dr Johannes Meyer for his research “Light Field Methods for the Visual Inspection of Transparent Objects”.
In an interview with MVPro he said: “Winning the EMVA Young Professional Award showed me that my work has an industrial importance and that the machine vision industry acknowledges it – so I’m really glad and happy for the decision of the jury.”
For more information: www.emva.org