[AISWorld] Three (3) Marie Sklodowska-Curie PhD fellowships on Big Data Analytics and related technologies available at the University of Cyprus

[Christos Nicolaides]

Applications are invited for 3 PhD fellowship positions on Big Data Analytics and related technologies at the University of Cyprus.

The fellowships are fully funded under the Marie Sklodowska-Curie European Training Network (ETN) project “RAIS: Real Time Analytics for the Internet of Sports <https://rais-itn.eu/>.” The three fellowships will be based at University of Cyprus and will be focusing in the areas of edge computing, complex systems and data analytics. The fellows will benefit from strong partnerships with leading universities and innovative companies in Europe and USA. 

Position Codes:

RAIS-UCY-ESR1 “Adaptive monitoring Framework for Wearable devices”: hosted by the Laboratory of Internet Computing, Dept. of Computer Science  http://linc.ucy.ac.cy/ <http://linc.ucy.ac.cy/>

RAIS-UCY-ESR2  “Blockchain-based Middleware for Distributed Sensor Environments”: hosted by the Laboratory of Internet Computing, Dept. of Computer Science  http://linc.ucy.ac.cy/ <http://linc.ucy.ac.cy/>

RAIS-UCY-ESR11 “Exercise Habits and Social Contagion Patterns”: hosted by the Social Analytics & Networks Lab, Dept. of Business Administration  https://www.nrg.ucy.ac.cy/ <https://www.nrg.ucy.ac.cy/>


The positions are for three (3) years (with the possibility of extension to the 4th), starting as early as possible but not later than December 2019. The project RAIS European Training Network (ETN)  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 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.

All details about the positions and how to apply can be found here http://linc.ucy.ac.cy/index.php/8-linc/news/241-doctoral-positions-esr-rais-2018-2020 <http://linc.ucy.ac.cy/index.php/8-linc/news/241-doctoral-positions-esr-rais-2018-2020>

Applications: Students from all countries are welcome to apply. We particularly encourage women to apply. While expressions of interest are accepted on a continuous basis, applications received by March 01, 2019 will be considered in the first evaluation cycle. The decisions are expected to be reached by the end of April 2019.


RAIS Team at University of Cyprus

best regards,
Christos Nicolaides

--
Christos Nicolaides
Lecturer, Business and Public Administration, University of Cyprus
Digital Fellow, IDE, MIT Sloan School of Management
https://www.nrg.ucy.ac.cy/ <https://www.nrg.ucy.ac.cy/>

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