Website University of Luxembourg
Job Summary Table of Computer Vision Research Associate for Remote Sensing
Attribute | Details |
---|---|
Job Title | Research Associate in Computer Vision for Remote Sensing Applications |
Visa Sponsorship | Info not available |
Company Name | University of Luxembourg |
Country | Luxembourg |
Location | Kirchberg, Luxembourg (On-site) |
Salary Range | EUR 81,072 per year (gross) |
Job Type | Full-time (40.0 Hours per Week) |
Department | Interdisciplinary Centre for Security, Reliability and Trust (SnT) |
Experience Level | Mid-level to Senior |
Education Requirements | PhD in Electrical Engineering, Computer Science, Applied Mathematics or related field |
Skills and Expertise | Computer Vision, Remote Sensing, Deep Learning, Python, C/C++ |
Posting Date | Info not available |
Job Expires | Info not available |
Source | University of Luxembourg Recruitment |
Apply Link | Apply Here |
Job Description Summary
The University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT) is seeking a talented Research Associate specializing in Computer Vision for Remote Sensing Applications. This exciting role offers the opportunity to work on cutting-edge projects in collaboration with academic and industrial partners.
Responsibilities
- 🔬 Shape research directions and produce results in crop classification from high-resolution satellite images
- 🧠 Develop and implement Vision Transformer (ViT) architectures for Remote Sensing imagery
- 🔍 Explore attention mechanisms for satellite image representation learning
- 📊 Conduct full-scale experiments, including real-time implementation, data processing, training, and validation
- 💻 Utilize HPC facilities for training large deep learning models
- 🚀 Implement scalable deep learning solutions for Remote Sensing applications
- 📝 Disseminate results through scientific publications
- 🤝 Collaborate closely with project stakeholders and industrial partners
Benefits and Perks
- 🌐 Work in a multicultural environment with over 60 nationalities
- 🌙 Access to unique labs, including the LunaLab for moon simulations
- 🛰️ Opportunity to work on nanosatellite projects
- 🚗 Contribute to advancing autonomous vehicle technology
- 🌟 Be part of a leading international research and innovation center
- 🏆 Engage in demand-driven projects with over 55 industry partners
Company Overview
The University of Luxembourg is a prestigious international research university known for its multilingual and interdisciplinary character. Founded in 2003, it has quickly risen to prominence, ranking #3 worldwide for its “international outlook” and #20 in the Young University Ranking 2021 by Times Higher Education.
Company Culture
At SnT, we foster a culture of excellence, innovation, and collaboration. Our team-building events and networking activities create a vibrant community where researchers from diverse backgrounds come together to solve complex challenges in ICT systems and services.
Career Growth Opportunities
Join SnT and embark on a journey of professional growth in a rapidly evolving field. With the possibility of extending your contract up to 5 years, you’ll have ample opportunities to develop your expertise, collaborate with industry leaders, and make significant contributions to the field of Computer Vision and Remote Sensing.
Diversity, Equity, Inclusion, and Belonging
The University of Luxembourg embraces inclusion and diversity as key values. We are committed to removing any discriminatory barriers related to gender and other factors in recruitment and career progression.
Equal Opportunity Statement
The University of Luxembourg is an equal opportunity employer. We encourage all qualified individuals to apply, regardless of their background, gender, race, or nationality.
Remote Work Policy
This position is based on-site at our Kirchberg campus. However, you’ll have access to state-of-the-art facilities and the opportunity to collaborate with researchers worldwide.
Application Process
- 📝 Prepare your application documents in English
- 📤 Submit your application online through the University’s HR system
- 📅 Apply early, as applications will be processed upon reception
Application Deadline
How to Apply
To apply for this position, please submit the following documents online:
- Detailed Curriculum Vitae
- Contact information for 3 referees
- GitHub/GitLab webpage listing completed projects in Computer Vision or Machine Learning (preferred)
Please note that applications sent by email will not be considered. Apply directly through the online HR system.
Social Media Links
FAQs or Additional Information
What makes this Research Associate position unique?
This role offers a rare opportunity to work at the intersection of Computer Vision and Remote Sensing, utilizing cutting-edge technologies like Vision Transformers and HPC facilities. You’ll be part of a world-class research team at SnT, collaborating with industry partners like Hydrosat and contributing to groundbreaking projects in satellite image analysis.
What kind of projects will I be working on?
You’ll be involved in exciting projects such as crop classification from high-resolution satellite images, developing Vision Transformer architectures for Remote Sensing imagery, and exploring attention mechanisms for satellite image representation learning. These projects have real-world applications and potential for significant impact in the field.
What are the career prospects after this position?
This Research Associate position offers excellent career prospects. With the possibility of extending your contract up to 5 years, you’ll have ample time to establish yourself in the field, publish significant research, and build a strong network of academic and industry contacts. The skills and experience gained here are highly valued in both academia and industry, particularly in the growing fields of Earth Observation and AI-driven remote sensing.
How does the University of Luxembourg support researchers?
The University provides a supportive environment for researchers, including access to state-of-the-art facilities like the LunaLab and HPC resources. You’ll also benefit from collaborations with industry partners, opportunities for interdisciplinary research, and a multicultural work environment that fosters creativity and innovation.
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