Research Assistant in Image Processing or Computer Vision– DeepCamera MRG
Research Assistant in Image Processing or Computer Vision– DeepCamera MRG

Research Assistant in Image Processing or Computer Vision– DeepCamera MRG

Full-Time 30000 - 40000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to research image processing and computer vision technologies.
  • Company: CYENS Centre of Excellence, a hub for innovative research and collaboration.
  • Benefits: Gain hands-on experience, publish your work, and travel for conferences.
  • Other info: Collaborate with top researchers and contribute to groundbreaking projects.
  • Why this job: Make an impact in cutting-edge fields like AI and multimedia systems.
  • Qualifications: Bachelor's or postgraduate degree in relevant fields; programming skills required.

The predicted salary is between 30000 - 40000 £ per year.

Applications are invited from candidates who possess the necessary qualifications to fill two (2) full-time research assistant positions at the CYENS Centre of Excellence (DeepCamera group), to investigate in the fields of "Image Processing and Computer Vision". The CYENS CoE is focusing on multidisciplinary research in the greater area of interactive media and smart systems.

The successful candidates will have the opportunity to conduct research in the areas of image processing, computer vision, and artificial intelligence with applications in high dynamic range imaging, video encoding, color management for complex multimedia systems (e.g. VR/AR, pones, virtual studios), environmental noise removal, image and video evaluation, event cameras and in the broad area of computer vision. They will work with a very active team of researchers, including Dr. Alessandro Artusi (DeepCamera MRG), investigating modern trends and techniques in Image Processing, Artificial Intelligence, Machine Learning and Computer Vision.

Position holders are expected to conduct experimental research on the above areas, to collect and analyze experimental results, to conduct bibliographical review of the current literature, to publish/present their research results in prestigious international conferences and journals, and potentially to participate in the preparation of research and innovation proposals.

We welcome applications from talented and motivated individuals with backgrounds in related fields such as Physics, Mathematics, Engineering, Robotics and Computer Science. 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.

The successful candidate will work under the supervision of Alessandro Artusi (MRG Leader).

Your profile

Profile of the ideal candidate:

  • Self-motivated with the ability to take initiative and work independently.
  • Strong organizational, communication, presentation, and negotiation skills, having the ability to deal confidently and politely with enquiries.
  • Very good analytical skills coupled with attention to detail.
  • Dynamic, adaptable, hands-on and results driven.
  • A team player with an ability to work independently and under pressure.
  • High levels of commitment, energy, and drive.
  • Excellent communication and interpersonal skills.

General qualifications and requirements

  • Bachelor's degree and/or postgraduate degree in a relevant field (e.g., Computer Science, Engineering, Physics, Mathematics, Artificial Intelligence/Machine Learning) from an accredited institution.
  • Strong algorithmic background and computer programming skills (e.g., C/C++/Java/C#, Python, Matlab) are a must.
  • Knowledge of Image Processing and/or Computer Vision technologies will be considered an advantage.
  • Knowledge of Artificial Intelligence, including Machine Learning and Deep Learning including the usage of relevant environments (e.g., Tensorflow, Pytorch, scikit-learn) will be considered an advantage.
  • Previous research experience and high impact research publications will be considered an advantage.

Language requirements: Excellent written and oral English-language skills will be required.

For non-EU applicants a work permit will be required.

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.

Research Assistant in Image Processing or Computer Vision– DeepCamera MRG employer: CYENS

The CYENS Centre of Excellence offers an exceptional work environment for research assistants in Image Processing and Computer Vision, fostering a culture of innovation and collaboration among multidisciplinary teams. Located in Nicosia, Cyprus, employees benefit from access to cutting-edge research opportunities, professional development through international conferences, and the chance to contribute to impactful projects supported by significant funding. With a commitment to excellence and a vision for social and economic benefit, CYENS is dedicated to empowering its staff and driving forward-thinking research.
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Contact Detail:

CYENS Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Assistant in Image Processing or Computer Vision– DeepCamera MRG

Tip Number 1

Network like a pro! Reach out to current or former employees at CYENS Centre of Excellence on LinkedIn. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Prepare for the interview by brushing up on your knowledge of image processing and computer vision. Be ready to discuss recent trends and how your skills align with their research focus.

Tip Number 3

Show off your passion! During interviews, share your personal projects or research that relate to the role. It’s a great way to demonstrate your initiative and enthusiasm for the field.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!

We think you need these skills to ace Research Assistant in Image Processing or Computer Vision– DeepCamera MRG

Image Processing
Computer Vision
Artificial Intelligence
Machine Learning
Deep Learning
C/C++
Java
Python
Matlab
Tensorflow
Pytorch
scikit-learn
Analytical Skills
Communication Skills
Organisational Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to highlight your skills and experiences that are relevant to image processing and computer vision. We want to see how your background in Physics, Mathematics, or Engineering aligns with the role!

Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about research in this field. Share specific examples of your previous work or projects that demonstrate your analytical skills and initiative. Let your personality shine through!

Showcase Your Technical Skills: Don’t forget to mention your programming skills and any experience with AI or machine learning frameworks like TensorFlow or PyTorch. We’re looking for candidates who can hit the ground running, so highlight those technical proficiencies!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at CYENS!

How to prepare for a job interview at CYENS

Know Your Stuff

Make sure you brush up on the latest trends in image processing and computer vision. Familiarise yourself with key concepts, algorithms, and tools like TensorFlow and PyTorch. Being able to discuss your knowledge confidently will impress the interviewers.

Showcase Your Projects

Prepare to talk about any relevant projects or research you've done. Highlight your role, the challenges you faced, and the outcomes. If you have publications, be ready to discuss them and how they relate to the position.

Ask Smart Questions

Interviews are a two-way street! Prepare thoughtful questions about the team, ongoing projects, and future directions of the DeepCamera group. This shows your genuine interest and helps you assess if it's the right fit for you.

Demonstrate Team Spirit

Since collaboration is key in research, be ready to share examples of how you've worked effectively in teams. Highlight your communication skills and adaptability, as these traits are essential for success in a dynamic research environment.

Research Assistant in Image Processing or Computer Vision– DeepCamera MRG
CYENS

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