News

2016 brought us numerous professional programmes, opportunities for scientific cooperation and industrial innovation. Besides the achievements of traditionally high quality in basic research, the Institute placed great emphasis on the applications in the private sector as well as the services rendered to the communities providing them significant societal benefits.

The official inauguration of László Monostori elected as a member of acatech (Deutsche Akademie der Technikwissenschaften, National Academy of Science and Engineering) in 2015, took place at this year’s General Assembly of the Academy.

Prof. László Monostori, Director of MTA SZTAKI, Head of the Centre of Excellence in Production Informatics and Control (EPIC) participated at the international press conference held in Brussels the 23rd November, 2016, where the results of the ”Teaming” research excellence programme which is the most prestigious call of the Horizon 2020 Widening Programme were announced.

I4.0 National Technological Platform: The Presidium has been set up in full, the Work Groups have been offiicially formed. The second plenary meeting of the Industry 4.0 National Technological Platform was held on the 11th October, 2016 at the Head

ERCIM offers fellowships for PhD holders from all over the world. The next round is open! Deadline for applications: 30 September 2016. Topics cover most disciplines in Computer Science, Information Technology, and Applied Mathematics. Fellowships

The Industry 4.0 National Technology Platform has been recently established under the leadership of the Institute for Computer Science and Control, Hungarian Academy of Sciences and with the participation of research institutions, education

The most prestigious state award in the field of sciences was handed over by János Áde r, President of Hungary in the presence of Prime Minister Viktor Orbán on 15 March 2016, in the Cupola Hall of the Parliament Building. According to the laudation

Started in January 2016, the EXCELL project ( Actions for Excellence in Smart Cyber-Physical Systems applications through exploitation of Big Data in the context of Production Control and Logistics ) foresees the collaboration of researchers from