Research Associate in Computer Vision for Remote Sensing Applications (UOL06017)

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.Were looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, youve 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. Your Role... 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 (CVI) research group (http:cvi2.uni.lu) headed by Prof. Djamila Aouada. CVI 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 learningDisseminating results through scientific publicationsConducting full scale experiments, including real-time implementation, data processing, training, and validationUsing HPC facilities for training large deep learning modelsImplementing scalable deep learning solutions for Remote Sensing applicationsProviding support in setting up and running experiments on large scale datasetsWorking closely with projects stakeholdersCollaborating with industrial partners Your Profile... A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related fieldCompetitive research record in Computer Vision and Remote SensingBroad experience with machine learning algorithms and deep learning conceptsHighly experienced in one or more of the following topics:-Deep learning for Remote Sensing applications-Transformer-based architectures for vision problems-Training very large neural networks on HPC facilities-Traditional machine learning techniques (e.g., Random Forests, Support Vector Machines, etc.)Strong mathematical backgroundCommitment, team working and a critical mindStrong development skills in Python, C and C++Familiarity with one or more deep learning frameworks such as PyTorch and TensorFlowFluent written and verbal communication skills in English are mandatoryAdvanced scientific report writing skills We Offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the University of the Greater Region (UniGR)A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructureA partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs In Short... Contract Type: Fixed Term Contract 24 MonthWork Hours: Full Time 40.0 Hours per WeekLocation: KirchbergInternal Title: Postdoctoral researcherJob Reference: UOL06017The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 81072 (full time) How to apply... Applications, written in English should be submitted online and should include: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 LearningAll qualified individuals are encouraged to apply.Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.Application link: http:emea3.mrted.ly/3inmi The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.