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Post-doctoral researcher positions in Machine Learning and Robotics – Learning Agents and Robots MRG

Temporary, Full-time · CYENS - Centre of Excellence
Responsibilities
About the positions
The Learning Agents and Robots (LEAR) research group (https://lear.cyens.org.cy/) conducts research on artificial intelligence and its intersection with robotics, focusing on creating software agents and robots that learn to predict and understand the world, solve tasks, accumulate skills, interact with humans or other agents, and make adaptive decisions in complex, dynamic and uncertain environments. To achieve these goals, the group investigates approaches from machine learning (e.g., deep learning, reinforcement learning, continual learning), evolutionary computation (e.g., quality-diversity optimization), robotic simulation, perception, planning and control, among others. Our newly-established robotics lab is currently populated with a Unitree A1 quadruped robot and 4 Parrot Anafi drones.
 
The LEAR group is looking for research associates in machine learning and robotics. The successful candidates will work under the supervision of the LEAR MRG Leader, Dr. Vassilis Vassiliades.
 
 
Responsibilities of Research Associates: 
  1. Carry out fundamental or applied research in Machine Learning and/or Robotics.
  2. Participate in currently active research projects in the research group.
  3. Participate in the preparation of reports, deliverables, research papers, and presentations.
  4. Disseminate research findings.
  5. Participate in the preparation of grant proposals.
  6. Participate in innovation activities related to the exploitation of research outputs.
  7. Attend technical and non-technical training courses and workshops as required.
  8. Undertake any other required duties based on projects’ needs.
Your profile
Profile of the ideal candidate: 
  1. Ability to independently identify problems and carry out research work within the scope of the research group.
  2. Ability to interact with relevant partners / stakeholders, and identify opportunities for collaboration.
  3. High levels of commitment, self-motivated with the ability to take initiative and work independently. 
  4. Strong organizational, communication, presentation, and interpersonal skills.
  5. Very good analytical skills coupled with attention to detail. 
  6. Adaptable, hands-on and results driven.
  7. A team player with an ability to work under pressure.
General qualifications and requirements
General qualifications and requirements
  1. Bachelor's degree and postgraduate degree in a relevant field (e.g., Computer Science or Engineering) from an accredited institution.
  2. PhD in a relevant field (e.g., Artificial Intelligence, Machine Learning, Data Science, Robotics).
  3. Strong programming skills in Python and/or C++.
  4. High-impact research publications on relevant topics.
  5. Experience with Machine/Deep Learning frameworks (e.g., scikit-learn, Tensorflow, PyTorch, JAX; a must for Machine Learning candidates).
  6. Experience with robotic simulators (e.g., Gazebo, PyBullet, Isaac Sim), physics engines, ROS/ROS2, or physical robots (a must for Robotics candidates).
  7. Experience with evolutionary algorithms, reinforcement learning, computer vision, speech processing or natural language processing will be considered an advantage (for Machine Learning candidates).
  8. Experience with model-predictive control, legged robots, or sensor fusion will be considered an advantage (for Robotics candidates).
  9. Experience with embedded systems or mobile app development will be considered an advantage.
  10. Strong mathematical background will be considered an advantage.
  11. Previous relevant industrial / innovation / entrepreneurship experience and interest will be considered an advantage. 
  12. Previous grant-writing experience will be considered an advantage.
  13. Excellent written and oral English-language skills. 
  14. For non-EU applicants a work permit will be required.
 
Application process
Take advantage of this opportunity for your professional and personal development by being a part of our fast- growing Research and Innovation Centre of Excellence. A very attractive remuneration package will be offered to the successful candidate according to qualifications and experience.
 
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About us

CYENS Centre of Excellence (formerly known as RISE) is the Research and Innovation Centre on Interactive media, Smart systems and Emerging technologies empowering knowledge and technology transfer in the region. CYENS CoE is supported by the European Commission, the Republic of Cyprus and its founding Partners, the Municipality of Nicosia, the Max Planck Institute for Informatics (MPI), University College London, the University of Cyprus, the Cyprus University of Technology and the Open University of Cyprus.   


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. 


 CYENS, as a Centre of Excellence, cultivates a culture of innovation and creativity in an inspiring environment filled with academics, researchers, creative and onward-looking people, innovators, entrepreneurs, and practitioners. The Centre operates under the moto “Inspired by Humans Designed for Humans” with the vision to produce world class research that drives innovation towards social and economic benefit while conducting excellent, internationally competitive scientific research in the areas of visual sciences, human factors and design, communication, and artificial intelligence. It sets out to meet the challenge with a total potential funding of more than 30 million Euros for the first 7 years, from a Horizon 2020 Teaming Action and multiple other sources, and a business plan for long-term sustainability and growth.

 

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We are looking forward to hearing from you!
Thank you for your interest in CYENS Centre of Excellence . Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to vacancies@cyens.org.cy 

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