Job: Investigador/a en Formación
Department: Advanced Manufacturing Systems
Location: Tarragona (Spain)
Contract: Temporary
Working day: Full time
Sector: Other
Vacancies: 1
Discipline: R&D
Work modality: On siteEurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern
Europe. It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than 2,000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology, industry and sustainability and collaborates with industry in R+D+I activities and projects, offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors, accelerating innovation, reducing both risks and spendings on scientific and technological infrastructures. The technology center participates in more than 200 large national and international consortium projects of high strategic R&I, has 230 patents and 10 spin-offs. Eurecat has eleven centers in Catalonia and presence in Madrid, Malaga and Chile.
Advanced Manufacturing Systems (AMS) Unit concentrates its efforts on research and development to new flexible, high efficiency, and high-productivity manufacturing technologies. These technologies that integrate AMS can be classified through the Photonic Line, the Ultrasound Line, the Microwave Line, the Additive Manufacturing Line, the BioMedical Line, and the Machines Line.
Eurecat in partnernship with URV (Rovira and Virgili University) opens a PhD scholarship position to carry out research on predictive manufacturing by photonic technology for the industry 4.0.
The development of the thesis will focus on the study and implementation of sensors by photonic technologies within the framework of industry 4.0. The sensors will be validated with the implementation of artificial vision, as well as the development of predictive intelligence algorithms to anticipate possible failures in manufacturing as predictive maintenance towards an industry with zero defects.
Mainly the PhD will be addresses to the health, food and textile sectors using the same technology. In each sector, photonic technology will be customized and implemented to achieve efficient monitoring, improve quality control and, in addition to work in real time and without contact.
Functions and Responsibilities:
Studies and Knowledge:
Soft Skills:
Languages:
