Special Scientist (Research Associate) Ph.D fellowship position, The University of Cyprus

Updated: 3 months ago
Job Type: FullTime
Deadline: 24 Sep 2021

The University of Cyprus (UCY) announces the availability of one (1) Ph.D. fellowship position under the Marie Sklodowska-Curie Initial Training Network (ITN) “RAIS: Real Time Analytics for the Internet of Sports.” The positions are in the area of edge computing, complex systems and data analytics.

Position Code:

RAIS-UCY-ESR11 “Exercise Habits and Social Contagion Patterns”: hosted by the Social Analytics & Networks Lab , Dept. of Business Administration

The period of employment is as follows:

Possible starting date: October 2021 (approx. 14 months - within the approved limits of its budget).

The position is funded by the European Commission under the Marie Sklodowska- -Curie Initial Training Network (ITN) program RAIS , which focuses on the design of decentralized, scalable and secure collective awareness platforms for real-time data analytics and machine learning, which preserve end-user privacy and information ownership. The RAIS consortium aspires to establish a fertile multidisciplinary research and innovation community with a strong entrepreneurial culture that will advance wearable sport-sensing and quantified-self devices and accompanying middleware. The consortium comprises scientists and research groups from the Royal Institute of Technology, Sweden; the Univ. of Cyprus; the Univ. of Insubria, Italy; the Foundation of Research and Technology-Hellas (FORTH), Greece; the Aristotle University of Thessaloniki, Greece; RaceFox, Sweden and a number of associated research and industrial partners (Cambridge University, UK; MIT Sloan School of Management, USA; Open Data Institute, UK; EIT Digital, Belgium; Recorded Future, Sweden; Kinetic Analysis, The Netherlands; Berklee College of Music, USA).

The main objective of the RAIS Initial Training Network is to provide world class training for the next generation of researchers, data scientists, and Web engineers, emphasizing on a strong combination of advanced understanding in both theoretical and experimental approaches, methodologies and tools that are required to develop Decentralized Platforms for Real-Time Data Analytics.


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