Join us in building a better world.

A team with a unique mission

We’re a dedicated scientific team, working together to advance the state of the art in computer vision and ensure it’s used for the benefit of the society.

Together, we build computer systems that learn how to solve problems and advance scientific discovery for all.

Diverse perspectives

We’re looking for people with a lifelong commitment to learning, who are passionate about making a positive impact in the world. Here collaboration is encouraged and learning is shared freely.

We drive ourselves and inspire each other to push boundaries and achieve ambitious goals. We value our diversity of experience, knowledge, backgrounds, and perspectives to solve problems, and create impact.

Teams

Our success depends on many people joining together for a shared goal. No single discipline has all the answers needed to build AI, and we've found that many exciting new ideas come from dedicated collaboration between different fields.

Our lab is the ideal working environment for young researchers, who want to work on cutting-edge technologies and develop novel and out-of-the-box solutions that will be published on international top-tier scientific conferences and journals. Through EU-funded projects, we are collaborating with prestigious European research centers and companies, to develop and deliver state-of-the-art software applications for the European market and industry.
Since its formation, the lab presents a trend to expand in new fields, to attract increasing funding, thus increasing its man-force. While growing, we constantly want to improve and explore new fields and opportunities. We offer highly competitive pay and constant motivation to keep improving and be rewarded.
We collaborate with Greek and European Universities, enabling our highly-skilled team members to become PhD candidates.

3D

-3D Reconstruction of moving humans and/or static objects
-Drone based reconstruction of 3D environments
-3D Motion Capture and analysis

2D

-Object Detection
-Object Tracking
-Action recognition
-Scene Analysis

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AR/VR

-Augmented Realoty
-Virtual Reality
-Mixed Reality
-Tele-Immersion

Artificial Intelligence

-Social Network Analysis
-Chatbots
-Human-Computer Interaction

We understand the power of diversity. Bringing together people with different experiences, knowledge, backgrounds, and perspectives strengthens our team and our work.

Why join us

-Competitive salary package.
-Sharp, motivated co-workers in a fun office environment.
-Collaboration with top-tier European researcher centers.
-Gain experience by working on cutting-edge technologies.
-Attending European meetings and conferences.
-We are rewarded and recognised for our hard work!  

Your career is important to you — and it’s important to VCL, too. VCL is dedicated to hiring, developing and retaining top-quality staff. We offer job stability, advancement, outstanding benefits and the opportunity to contribute to and support research that addresses challenges and advances the frontiers of science and technology.

As an employee at VCL, you can grow your career through mentoring and leadership development, as well as advancing as a result of performance excellence.

The team consists of motivated and creative researchers, who are interested in pushing the limits of technology further. Being involved in one of our projects means spending 3-4 exciting, challenging and career advancing years in a highly inspiring and friendly environment with some experienced researchers in computer science and within the context of leading and state-of-the-art research. Our team member have most of the following qualifications:

-BSc, MSc or Ph.D. in Computer Engineering, Computer Science (or equivalent).
-Good programming skills in C++, C#, Python, CUDA.
-Code versioning.
-Great organizational skills.
-Flexible and adaptable, with a "can do" approach and solid problem-solving skills.
-Self motivation
-Able to resolve everyday technical problems, and scientific ones
-The ability to thrive in a demanding environment while juggling multiple priorities.
-Fluent speaking/writing in English.  

Employee profiles

Assistant researcher (entry level)

Topics
Tele-immersion, 3D reconstruction, Virtual Reality, Augmented Reality, Mixed Reality, Motion Capture

Responsibilities
-Programming/Development of 3D Computer Vision and/or Graphics Algorithms in C++ and C#.

Top skills
-Scene/Geometry Understanding.
-Image/video processing.
-Motion Capture. 

Assistant researcher (experienced)

Topics
Tele-immersion, 3D reconstruction, Virtual Reality, Augmented Reality, Mixed Reality, Motion Capture

Responsibilities
-Develop and deliver novel solutions to computer vision-based problems.
-Research and Development of 3D Computer Vision and/or Graphics Algorithms in C# and C++.
-Leading and successfully completing project related activities (tasks, projects, deliverables):
     -Reporting
     -Team management
     -Task prioritisation

Top skills 

-Camera/sensor calibration, registration and synchronisation.
-3D reconstruction and/or photogrammetry.
-Rendering / Display techniques.
-Unity 3D / Unreal Engine usage.
-VR / AR development.
-Parallel programming.
-Experience in optimization techniques. 

Assistant researcher (entry level)

Topics
Object detection and tracking, Action recognition, Human-object interaction, Gesture recognition, in both 2D and 3D content

Responsibilities
-Development of Machine (Deep) Learning Algorithms.

Top skills
-Good programming skills in C++, Python, Matlab, Lua, CUDA
-Deep learning frameworks (e.g. Keras, TensorFlow, PyTorch, Caffe)
-Good understanding of convolutional and/or recurrent neural network architectures

Assistant researcher (experienced)

Topics
Object detection and tracking, Action recognition, Human-object interaction, Gesture recognition, in both 2D and 3D content

Responsibilities
-Develop and deliver novel machine learning algorithms for computer vision applications.
-Make research-level breakthroughs in machine learning for visual computing applications.
-Project task leading and completion.

Top skills
-Experience in Deep Learning frameworks (e.g. Keras, TensorFlow, PyTorch, Caffe)
-Good understanding of advanced topics in Deep Learning (e.g. Adversarial networks, Multimodal fusion, Network optimization, Javascript Deep Learning)
-Organizational skills 

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