Research Associate in Computer Vision-based Anomaly
il y a 6 jours
**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...**:
- Shaping research directions and producing results. Topics include but are not limited to:
- Anomaly detection and pattern recognition in visual data
- Multimodal fusion
- Unsupervised, self-supervised, and few-shot learning
- Space data simulation and synthesis
- In-orbit object pose estimation and tracking
- Disseminating results through scientific publications
- Collaborating with industrial partners
- Carrying out high-impact research
- Participating in writing proposals
- Participating to the teaching activities
- Implementing real-time solutions
- Providing guidance to PhD and MSc students
- Organizing relevant workshops and demonstrations
**Your Profile...**:
- A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
- Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.)
- Strong development skills in Python
- Strong mathematical background
- Ability to work in an interdisciplinary context
- Broad experience with machine learning algorithms and deep learning concepts
- Commitment, team working, and a critical mind
- Fluent written and verbal communication skills in English are mandatory
- Advanced scientific report writing skills
**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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