The Research Centre on Interactive Media, Smart System and Emerging Technologies (RISE), announces five (5) PhD Fellowships under various Multidisciplinary Research Groups (MRGs). The Fellowships aim to encourage participation in RISE’s Doctoral Training Program.
RISE is an equal opportunity employer. The positions are open to nationals of all EU countries. Applicants outside the EU may require a working VISA for Cyprus.
RISE is a newly founded research centre in Cyprus aiming to become a centre of excellence empowering knowledge and technology transfer in the region. It is a joint venture between the Municipality of Nicosia, the Max Planck Institute for Informatics (Germany), the University College London (UK) and the three public universities of Cyprus - University of Cyprus, Cyprus University of Technology, and Open University of Cyprus. This project has received funding from the European Union’s Horizon 2020 research and innovation programme H2020-WIDESPREAD-01-2016-2017 (Teaming Phase 2) under grant agreement No. 739578, as well as from the Cypriot Government, the local partners and other sponsors.
The research focus of RISE is on interactive media. Interactive media have become an integral part of our lives, changing the way that information is conveyed to the user and the ways users interact with devices, with other people, and with the world around them. Research in RISE integrates the Visual Sciences, Human Factors and Design, and Communications and Artificial Intelligence, in a tight synergy that provides a unique interdisciplinary research perspective that emphasizes an “Inspired by Humans, Designed for Humans” philosophy. RISE is designed to act as an integrator of academic research and industrial innovation, towards the sustainable fuelling of the scientific, technological, and economic growth of Cyprus and Europe. For more information about RISE, please visit www.rise.org.cy.
Overview of RISE’s Doctoral Training Program
RISE’s Doctoral Training Program (DTP) will kick off in 2019-2020 to provide the best possible experience of impactful collaboration, following best practices from across Europe. RISE’s DTP is far more attractive as an engagement point than an individual supervisor or small group in a University. The DTP experience will rely on a good cohort environment at RISE itself, but also on training the students to engage with the wider community and the partner institutions.
RISE’s DTP includes an in-house program for supporting and guiding PhD students who will be registered at a University of the RISE consortium (University of Cyprus, Cyprus University of Technology or Open University of Cyprus). Scientific colloquia, mobility activities and visits, joint supervision of PhDs, and joint projects organized in collaboration with RISE’s advanced partners (UCL and Max Planck) and other members of the RISE developing network will provide opportunities for training in research and innovation activities as well as knowledge transfer.
Indicative list of DTP courses:
Innovation, Entrepreneurial and Intrapreneurial skills for Research Engineers
Product from Concept to Market
IP Protection Workshop: Key IP, commercialization, methods for Higher Education: licensing, spin-ins and spin-outs
Research Methods and Research Ethics
Science communication and dissemination
The program will include a colloquium series in which there will be monthly presentations by PhD students in a closed and supportive environment. The format of the colloquium series will be mentoring oriented (e.g. PhD students share their work, their challenges, their concerns, they get peer feedback and guidance from senior researchers, they interact with post-doc researchers and they hear their stories and struggles).
Via RISE’s DTP, one can experience a broad range of projects, activities and training possibilities. RISE will also facilitate the development and innovation of research ideas and outcomes. RISE DTP will aim to provide a direct link to the advance partners via short-term placements at their premises. RISE DTP will support PhD students’ participation in conferences and study visits at established research centres across Europe.
RISE will award a certificate for the participation in the RISE DTP program.
RISE PhD Fellowships
In the academic year 2019-2020, RISE will offer up to five (5) PhD fellowships to encourage participation in RISE’s DTP.
Fellowships will be for up to 3 years, during which the candidate needs to complete his/her PhD. The fellowship includes a monthly salary of €1.650 (€19.800 yearly) along with a tuition waiver for the Host University.
Fellowship and Participation in RISE’s DTP require:
Register at one of the local partner Universities of Cyprus (i.e., Host University), under the supervision of a RISE academic. Note: Depending on the university of registration, the PhD student will have to follow the respective doctoral program with expectations and examination procedures. RISE will not interfere with the PhD requirements of the University where the PhD student is registered. The PhD degree will be awarded by the University the PhD student is registered at.
Spent 70-80% of their time at RISE Centre itself and 20-30% at the external partners. The costs for the placement at the external partners will be covered by RISE.
Complete a minimum of 4 courses or series of seminars offered by RISE’s DTP in-house program, preferably during the first 2 years of their PhD. Note: These courses are independent of any coursework/seminar PhD requirements by the Host University. Yet, provided that the Host University/Department agrees, these courses may count towards the course requirements of the PhD program at the Host University.
Engage in year-round communication and dissemination activities of RISE (e.g. poster days, industry events)
RISE fellowship might be discontinued if the fellow does not adhere to the obligations of RISE’s DTP.
Be 35 years of age or younger on the date of application
Have a Bachelor’s degree (4 years or 5 years program) in the area of concentration
Have an MA/MSc in the area of concentration
Have a proven record of high-achievement
Have a PhD thesis proposal centred on the topic of interest from the composed list of RISE topics.
Be fluent in written and verbal communication in English
The application should be sent to firstname.lastname@example.org and should include:
The selected topic (one application for each topic, max 2 topics per applicant)
Full CV of the applicant
Full transcripts of all previous studies
English language degrees
A letter of interest or statement of purpose written in English, which describes 1) previous work performed in the topic under study 2) why the candidate wishes to undertake the specific studies (1000 words max).
A PhD thesis proposal centred on the topic of interest including initial research objectives (1000 words max). Note: A different application must be submitted for each topic of interest with a maximum of 2 applications per candidate.
Names and contact information of two referees. Note: Referees will be contacted by RISE to submit their letters, if the candidate is shortlisted.
DEADLINE for applications: 10/07/2019
List of Topics
1. Design for XR in Education
2. Game Design for Multi-modal and Multi-sensory Learning
3. Artificial Intelligence / Computational Cognition
4. Fairness, Accountability, Transparency and Trust (FAT*) in Socio-Technical Systems
5. Social and Context-aware Multimedia Content Distribution in 5G Networks
6. Reliability, Security and Resource Management for IoT Networks and Devices
7. VR based motor rehabilitation with smart monitoring for the progress
8. VR based mental / social well-being and assessment through bio-measurements
9. First-Person Computer Vision Applications for Urban Environments
10. Computer Vision for Food Safety and Circular Economy
11. Geospatial Analysis for Disaster Prevention
12. Modeling associative memory on robots for promoting social behavior
13. Museums, Technology and Contested History
14. Intelligent Virtual Reality System for Pain Management
15. Color perception and High Dynamic Range Content management for complex multimedia systems with limited computational resources
16. Deep-learning approaches for designing objective metric that is capable to predict color distortions
17. Application of Generative Adversarial Network
18. Adversarial Imaging
19. Artist friendly methods to populate virtual environments
20. Textual authoring of animated scenes
21. Data-Driven Traffic Animation
22. Real-time understanding of large outdoor environments
23. Urban Semantic Understanding
24. Object and Scene Synthesis via deep neural networks
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