Research Associate in Computer Vision for

il y a 2 semaines


Luxembourg Université du Luxembourg Temps plein

**SnT** is a leading **international research and innovation centre** in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place

**Your Role...**:

- Propose and develop models and algorithms (Computer Vision, Machine Learning, Robotics, etc.) to meet the projects demands
- Providing support in setting up and running experiments in the SnT Computer Vision and Zero-G laboratories
- Work closely with project’s stakeholders and industrial partners
- Proposing and implementing real-time solutions
- Participating in proposal writing
- Coordinating research projects and delivering outputs
- Disseminating results through scientific publications
- Providing guidance to PhD and MSc students
- Participating to the teaching activities
- Participating in organizing relevant workshops and demonstrations

**Your Profile...**:

- PhD Degree in Computer Science, or related technical field with the desirable experience in Computer Vision, Machine Learning or Robotics.
- Competitive research record in Computer Vision/Robotics, preferably with publications at CV/ML/Robotics conferences/journals (e.g., ICRA, RSS, WACV, ECCV, IROS, etc.)
- Strong mathematical background.
- Strong development skills in Python/C++/Matlab.
- Strong knowledge and experience with modern machine learning frameworks (PyTorch/ Tensorflow).
- Good Knowledge of Robotics. Practical experience in robotics, including ROS and related software components.
- Experience with 3D simulation tools or game engines such as Unreal, Blender, etc. would be an added advantage.
- Experience with good software development practices and tools (such as git, docker, etc.).
- Commitment, team working and a critical mind
- Fluent written and verbal communication skills in English are mandatory

**Here’s what awaits you at SnT...**:

- **Exciting infrastructures and unique labs.** At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
- **The right place for IMPACT. **SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
- **Be** part of a multicultural family**. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more



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