Postdoc in Computer Vision for Remote Sensing Applications

at  Springer Nature

POSTDOC IN COMPUTER VISION FOR REMOTE SENSING APPLICATIONS

Employer
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Location
Luxembourg
Salary
Negotiable
Closing date
4 Jun 2024
Discipline
Computing, Engineering, Mathematics
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia

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ABOUT THE SNT…

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!
The University of Luxembourg seeks to hire outstanding researchers at its Interdisciplinary Centre for Security, Reliability and Trust (SnT). SnT is a recently formed centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners. SnT is active in several international research projects.

We offer an attractive Research Associate position in Computer Vision for Remote Sensing Applications. The successful candidate will join the Computer Vision, machine Intelligence and Imaging (CVI²) research group (http://cvi2.uni.lu) headed by Prof. Djamila Aouada. CVI² offers the opportunity to work on multiple national and international academic projects and in collaboration with industrial partners. This is a fully funded Postdoc position for 2 years (possible extension(s) up to 5 years in total). The position holder will be required to utilize HPC facilities of the University of Luxembourg UL HPC (https://hpc.uni.lu) and LuxProvide (https://www.luxprovide.lu) for Remote Sensing applications in a close collaboration with the industrial partner Hydrosat (https://www.hydrosat.com/). The successful candidate will be required to perform the following tasks:

• Shaping research directions and producing results. Topics include but are not limited to:
• Crop classification from high resolution satellite images
• Vision Transformer (ViT) architectures on Remote Sensing imagery
• Attention mechanisms for satellite image representation learning
• Disseminating results through scientific publications
• Conducting full scale experiments, including real-time implementation, data processing, training, and validation
• Using HPC facilities for training large deep learning models
• Implementing scalable deep learning solutions for Remote Sensing applications
• Providing support in setting up and running experiments on large scale datasets
• Working closely with project’s stakeholders
• Collaborating with industrial partners