Research Associate in Computer Vision-based Anomaly Detection for Space Applications
Université du Luxembourg
- Kirchberg, Luxemburg
- € 81.072 pro Jahr
- Freiberuflich
- Vollzeit
- 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
- 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
- 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
- Contract Type: Fixed Term Contract 24 Month (may be extended up to five years)
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg
- Job Reference: UOL05957
- Curriculum Vitae (including your contact address, work experience, publications, etc.)
- Contact information for 3 referees, including details (name, email address, etc.)
- Preferably, a Github/Gitlab webpage listing completed projects in Computer Vision or Machine Learning