Job Summary Table of Computer Vision Research at University of Luxembourg

Job Description Summary

The University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT) is seeking a Research Associate to work on Computer Vision-based anomaly detection for space applications. This is an exciting opportunity to contribute to cutting-edge research in a dynamic, international environment.

Responsibilities

• Shape research directions and produce results in areas such as:
  • 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
• Disseminate results through scientific publications
• Collaborate with industrial partners
• Carry out high-impact research
• Participate in writing research proposals
• Contribute to teaching activities
• Implement real-time solutions
• Provide guidance to PhD and MSc students
• Organize relevant workshops and demonstrations

Benefits and Perks

• 🌟 Exciting infrastructures and unique labs, including the LunaLab for moon simulations and facilities for nanosatellite development
• 🤝 Opportunity to work on demand-driven projects with over 55 industry partners through SnT’s Partnership Programme
• 🌍 Be part of a multicultural family with more than 60 nationalities represented
• 🎓 Access to state-of-the-art research facilities and resources
• 💼 Competitive salary package (EUR 81,072 per year gross)
• 🌱 Potential for contract extension up to 5 years, offering long-term career prospects

Company Overview

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. Founded in 2003, it has grown to become a leading institution, ranked #3 worldwide for its “international outlook” by Times Higher Education. The university focuses on research in areas such as Computer Science, ICT Security, Materials Science, European and International Law, Finance, Education, and Contemporary and Digital History.

Company Culture

At SnT, we foster a culture of innovation, collaboration, and excellence. Our researchers are driven by the desire to make a real-world impact through their work. We organize regular team-building events and networking activities to promote a sense of community among our diverse staff.

Career Growth Opportunities

As a Research Associate at SnT, you’ll have the opportunity to: – Collaborate with leading experts in your field – Participate in international conferences and workshops – Publish in top-tier journals and conferences – Develop your research profile and expertise – Potentially transition to more senior research roles or faculty positions

Diversity, Equity, Inclusion, and Belonging

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barriers related to gender or other factors in recruitment and career progression of our staff.

Equal Opportunity Statement

The University of Luxembourg is an equal opportunity employer. We welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

Remote Work Policy

This position is primarily based on-site at the Kirchberg campus in Luxembourg. However, the university supports flexible working arrangements where possible, depending on the nature of the research and project requirements.

Application Process

1. Review the job requirements and ensure you meet the qualifications
2. Prepare your application documents, including:
   • Curriculum Vitae (including contact address, work experience, publications, etc.)
   • Contact information for 3 referees
   • Github/Gitlab webpage listing completed projects in Computer Vision or Machine Learning (if available)
3. Submit your application through the University of Luxembourg’s online HR system
4. If shortlisted, participate in interviews and any required assessments

Application Deadline

Early application is highly encouraged, as applications will be processed upon reception. The position will remain open until filled.

How to Apply

Please apply ONLINE formally through the HR system using the Apply Here link. Applications by email will not be considered.

Social Media Links

• University of Luxembourg LinkedIn
• University of Luxembourg Twitter
• University of Luxembourg Facebook

FAQs or Additional Information

Q: Is there a possibility for contract extension beyond the initial 24 months?

A: Yes, the contract may be extended up to a total of 5 years, depending on performance and funding availability.

Q: What language skills are required for this position?

A: Fluent written and verbal communication skills in English are mandatory. Knowledge of other languages is a plus but not required.

Q: Can I apply if I’m in the final stages of completing my PhD?

A: While a completed PhD is preferred, exceptional candidates who are close to finishing their doctoral studies may be considered. Please clearly state your expected completion date in your application.

This exciting opportunity at the University of Luxembourg offers a chance to work at the forefront of computer vision research with applications in space technology. As a Research Associate in the Computer Vision, Machine Intelligence and Imaging (CVI²) research group, you’ll contribute to cutting-edge projects that bridge academic research with real-world industrial applications.

The role demands a strong background in computer vision and machine learning, with a focus on anomaly detection and pattern recognition in visual data. You’ll be working on innovative techniques such as multimodal fusion, unsupervised learning, and space data simulation, all of which have significant implications for space applications.

At SnT, you’ll have access to state-of-the-art facilities, including the unique Zero-G Lab and Computer Vision Lab. These resources, combined with the opportunity to collaborate with industry partners, create an ideal environment for conducting impactful research and advancing your career in this specialized field.

If you’re passionate about pushing the boundaries of computer vision technology and its applications in space, this position offers an unparalleled opportunity to make your mark in a world-class research institution.

Explore Blog Articles:

1. UK Skilled Worker Visa – Complete Guide
2. Sweden Job Seeker Visa – How to Apply
3. Portugal’s Job Seeker Visa – What You Need to Know
4. Germany EU Blue Card – Benefits and Requirements