Computer Vision/ Machine Learning Research Associate at CYENS Centre of Excellence

CYENS Centre of Excellence (formerly known as RISE) is the Research Centre of Excellence in Cyprus focusing on Interactive media, Smart systems and Emerging technologies aiming to empower knowledge and technology transfer in the region. It is a joint venture between the three public universities of Cyprus - University of Cyprus, Cyprus University of Technology, and, Open University of Cyprus, the Municipality of Nicosia, and two renowned international partners, the Max Planck Institute for Informatics, Germany, and, the University College London, United Kingdom. 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, local and international partners, and other sponsors.

The Centre conducts excellent, internationally competitive scientific research in the areas of visual sciences, human factors and design, communication, and artificial intelligence delivered by high-calibre multidisciplinary research teams. CYENS engages in knowledge transfer and innovation activities aiming to bridge the gap between scientific research and STEM-led innovation and entrepreneurship.

The research focus of CYENS is on interactive media, smart systems, and emerging technologies. 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. Smart systems have offered a novel way of producing automated solutions to hard problems for which the mere use of the human intellect is insufficient. Research in CYENS integrates the Visual Sciences, Human Factors & Design, and Communications & Artificial Intelligence, in a tight synergy that provides a unique interdisciplinary research perspective that emphasizes an “Inspired by Humans, Designed for Humans” philosophy. CYENS 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.

The successful candidate will be involved in new and ongoing research projects that involve the development of novel computer vision algorithms that utilize state of the art machine learning algorithms. As part of the duties the successful candidate will carry out research-related activities that include literature reviews, algorithm development and evaluation, scientific paper authoring, research dissemination activities (i.e. presentations at conferences), and research proposal preparation.

BIO-SCENT MRG research focus is on developing novel and applied techniques driven by the need to improve the quality of life of humans. Within this scope, research in this group focus on developing techniques that aim to: Protect humans by offering novel ways to create safe environments both in physical and cyber spaces and allow humans to adapt in a better way to their environment by safeguarding their physical and mental safety, improving their productivity and enhancing their overall experience. The aforementioned topics are addressed through research and development in the areas of Biometrics, Computer Vision, Machine Learning and their combination with emerging technologies such as mobile computing, ubiquitous computing, virtual and mixed reality.

The successful candidate will work under the supervision of the Biometrics for Smart Human-centered Emerging Technologies (BIO-SCENT) MRG Leader, Dr Andreas Lanitis.

Responsibilities of the Computer Vision/Machine Learning Research Associate:

Carry out research in the area of Computer Vision/Machine Learning
Participation in currently active research projects in the MRG
Development of new algorithms, that includes implementation, data gathering, testing, and demonstration.
Preparation/presentation of research papers
Preparation/Submission of research proposals
Participation in innovation activities related to the exploitation of research outputs