Research Associate Positions

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CYENS (formerly known as RISE) is a research centre of excellence in Nicosia, Cyprus. CYENS CoE is a significant investment supported by the European Commission, the Republic of Cyprus and its founding Partners, the Municipality of Nicosia, Max Planck Institute, University College London, the University of Cyprus, the Cyprus University of Technology and the 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, 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.
There are up to two (2) full-time equivalent research positions for each of the following MRGs:

V-EUPNEA: Living, Breathing Virtual Worlds
Research focus on the simulation, analysis and visualization of life (virtual humans, crowds, traffic) in Virtual Worlds at different scales and levels of realism. Our goal is to build as realistic as possible virtual worlds to improve upon the physical world.

Visual Computing
Research focus on understanding real environments at multiple scales and increasing complexity (e.g., objects, indoor scenes, outdoor scenes, buildings and ultimately urban environments), thus bridging the gap between virtual and physical worlds.

Learning Agents and Robots
Research focus on reinforcement learning, deep learning, optimization, control, multiagent systems and computational intelligence methods for creating autonomous software and robotic agents that learn to solve tasks and adapt to dynamic environments.

DeepCamera: The Next Generation of Smart Cameras
Research focus on developing and seamlessly integrating a robust and reliable level of deep-learning approach (e.g., intelligence), into existing camera hardware (e.g., high-end/low-end sensors to create what we can call a smarter-camera system) that will provide robust and reliable data acquisition, storage, manipulation/feature extraction, computer vision task-driven decisions, and visualization of acquired input camera data, thereby overcoming the limitations of existing imaging/video pipeline solutions.

Socially-Competent Robotic and Agent Technologies (SCRAT)
Research focus on machine learning, computational learning theory, natural language processing and generation, preference elicitation, symbolic knowledge representation, commonsense reasoning, formal argumentation, cognitive computing, and explainable AI. Work will be undertaken towards the development of cognitive assistants for human task-solving, and towards the development of machine-mediated solutions for human-to-human interaction.
Smart Networked Systems
Research focus on Computer Networks, Protocols for IoT and Multimedia Communications, 5G Technologies, Security, Edge/Fog and Mobile Cloud Computing, and Smart City Applications. Research will be conducted related to Traffic Offloading, Relaying, D2D communication, and Edge computing in 5G wireless networks.

More details about each of the above-mentioned MRG research areas can be found at www.rise.org.cy/en-gb/research/research-groups/. Candidates interested in more than one MRG must clearly state their priority preference in their application – applications that do not specify the MRG(s) of interest will not be considered.

  • Bachelor's degree and/or postgraduate degree in a relevant field (e.g. Interactive Media, Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, Electrical Engineering) from an accredited institution
  • Excellent knowledge of both spoken and written English language
  • Previous research experience and high impact research publications will be considered an advantage
  • Previous relevant industrial experience will be considered an advantage
  • Previous grant-writing experience will be considered an advantage
  • For non-EU applicants a work permit will be required
Candidates are expected to have the following additional qualifications depending on the group they are interested in applying for:

V-EUPNEA: Living, Breathing Virtual Worlds
  1. Excellent programming skills, preferably in Object Oriented Programming Languages (C++/C#/Java) and/or Python.
  2. Experience with a game engine such as Unity, Unreal and Godot.
  3. Demonstrated excellence in algorithms and data structures.
  4. Self-motivation, ability to work independently, and excellent problem solving skills.
  5. Strong mathematical background will be considered an advantage.
  6. Previous experience with Machine Learning and Deep Learning, especially with frameworks such as Tensorflow, Keras, Torch, Caffe and scikit-learn will be considered an advantage.
  7. Prior publications in the area (or related areas) are desirable but not essential.

Visual Computing
  1. Postgraduate degree with emphasis on Computer Graphics / Computer Vision / Machine Learning.
  2. Strong coding skills in Python, Matlab, C++, C (experience with CUDA is an advantage).
  3. Confidence in mathematics (e.g., linear algebra, geometry processing, probabilistic methods).
  4. Proven experience with ML/DL frameworks (e.g. TensorFlow, PyTorch, Keras, FastAI).
  5. Knowledge of Conda package and environment management system, Docker or Kubernetes will be considered an advantage.
  6. Self-motivation, ability to work independently, and excellent problem solving skills.
  7. Prior publications in the area are desirable but not essential.

Learning Agents and Robots
  1. Postgraduate degree with emphasis on Reinforcement Learning / Planning / Control / Deep Learning / Machine Learning / Artificial Intelligence.
  2. Experience with modern machine learning libraries (e.g., TensorFlow, PyTorch, Keras, Caffe, scikit-learn).
  3. Strong coding skills in Python and/or C++.
  4. Team player with self-motivation and the ability to work independently, rapidly prototype, learn quickly and explain complicated concepts in simple terms.
  5. Strong mathematical background will be considered an advantage.
  6. Experience with CUDA or parallel programming (e.g., MPI) will be considered an advantage.
  7. Experience with ROS, robotic simulators (e.g., Gazebo, V-REP) or physics engines (e.g., Bullet, ODE, MuJoCo) will be considered an advantage.

DeepCamera: The Next Generation of Smart Cameras
  1. Postgraduate degree with emphasis in Image/Video processing, Computer Vision, Color Imaging, Computer Graphics.
  2. Strong knowledge of Deep Learning (DL) approaches.
  3. Strong programming skills C/C++, Python and Matlab.
  4. Strong mathematical background is highly desired.
  5. Previous experience in DL framework (i.e., Keras, Tensorflow, Pythorch, Caffe, ski-learnt).
  6. Previous experience in integrating algorithms in an embedded system (i.e., nvidia jetson) and/or mobile devices considered a plus.
  7. Previous experience in grant-writing considered a plus.
  8. Previous high-impact publication in the field considered a plus.
Socially-Competent Robotic and Agent Technologies (SCRAT)
  1. M.Sc. / Ph.D. from an accredited university in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Systems, Cognitive Science, or related area. (Candidates with other backgrounds but with an otherwise solid profile may also be considered.)
  2. Very good knowledge of English, especially in reading technical / research articles.
  3. Ability to independently identify problems and carry out research work within the scope of the MRG.
  4. Excellent programming skills (e.g., C, C++, Python, Java), mathematical maturity, and ability to learn quickly.
  5. Mobile application development skills for Android / iOS is considered an advantage.
  6. Interest / past work in Smart Personal Assistants or Human-Machine collaboration applications is desirable.
Smart Networked Systems
  1. Postgraduate degree (MSc, PhD) in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications, Electronic Engineering, or a related field from an accredited institution.
  2. Previous research experience and publication record will be considered a significant advantage.
  3. Research experience in Traffic Offloading or Relay Node Selection, or D2D protocols.
  4. Understanding of Mobile Edge, Fog, and Mobile Cloud Computing.
  5. Good knowledge of radio resource allocation and management.
  6. ackground of current technology trends in 5G such Network slicing, virtualization and SDN/ NFV.
  7. Very good programming skills in C/C++ and MATLAB.
  8. Effective verbal and written communication skills, and ability to work in an international team.
  9. Motivated candidates with strong mathematical and/or algorithm development backgrounds are strongly encouraged to apply.
The successful candidates will have the opportunity to conduct fundamental and/or applied research in the aforementioned areas. Where applicable, candidates may also participate in the preparation of project reports and deliverables, research proposals for funding, software development, and travel abroad for dissemination activities. Furthermore, successful candidates will be encouraged to publish/present their research results in prestigious international conferences and journals.

Application process  

For full consideration, interested applicants should submit the following items via the online application form and mention the position you are applying for.
  1. A cover letter which clearly specifies i) contact details, ii) employment availability date, iii) part-time or full-time availability, and (iv) MRG(s) of interest in order of priority.
  2. A detailed curriculum vitae in English.
  3. Copies of transcripts of BSc/MSc/PhD degree(s).
  4. Description of their academic and research experiences as well as any relevant industrial experience, where applicable (500 words maximum).
  5. Contact details of two University professors or one University professor and one industry referee who will provide the letters.
  6. Two (2) representative publications (if applicable).

The call will remain open and applications received after this date will be reviewed on a rolling basis, until positions are filled.

Note that if you previously applied for a research post at RISE, a new application is required.
For general inquiries, applicants may contact the HR Department of the Research Centre on Interactive Media, Smart Systems and Emerging Technologies at vacancies@rise.org.cy. More details about each of the specific positions/MRG research areas can be found at www.rise.org.cy/en-gb/research/research-groups/.
All applications are treated in the strictest confidence.

*Remains open until the position is filled.

Deadline: 05 February. 2023
Positions: 16
Location: RISE, Nicosia, Cyprus
Type: A one-year employment contract with an option to renew for up to three (3) years based on performance, includes a very attractive remuneration package according to qualifications and experience