Course in Transfer of Mathematical Technologies: five days to train the professional figure of the Transfer Expert in Mathematical Science and Technology for Innovation

The "Sportello Matematico per l’Innovazione e le Imprese" (Mathematical Desk for Innovation and Business) is organizing a course in Transfer of Mathematical Technologies that will take place in five days from 29 July to 2 August 2019 at the Institute for Applications of Calculation of the CNR.

The course is mainly aimed at young graduates in Mathematical and Physical Sciences, Engineering, Economics, Computer Science and Statistics, with the aim of training the professional figure of the Transfer Expert in Mathematical Science and Technology for Innovation (in brief: Translator Technological).

As explained in this short video, the Technological Translator was created to facilitate communication and promote collaboration between companies and research centers.

 

The deadline for applying is June 30, 2019.

For information

info@sportellomatematico.it
0649937369/59

CONTENTS OF THE COURSE

Mathematical Technologies: what they are, how they are applied in companies, market trends in Research and Innovation, Virtual Prototyping and Digital Twinning.
Technology Transfer: Italian and international context, industrial sectors, successful experiences and communication strategies.
Innovation Management: concepts, sources, forms, models and ecosystems of innovation, Open Innovation and relationship with Intellectual Property
Decision Support Systems and Operations Research: enable the potential of Mathematical Technologies in Management.
Actors and Organizational Structures: Best practices, the role of the Mathematical Desk in Italy and in Europe.

OPPORTUNITIES AND PROFESSIONAL OPPORTUNITIES

Research and Innovation Area at manufacturing and service companies
Technological Transfer and Research Enhancement at Universities and Research Centers
Training internships at the Mathematical Desk Project (IAC-CNR)
Participation in European Projects (H2020) on Mathematical Technologies for Innovation