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!
We offer an attractive Research Associate (Postdoctoral) position in close cooperation with our industrial partner Artec3D.
Artec3D is a global leader in handheld and portable 3D scanners and has been at the forefront of developing innovative 3D technology since 2007 ().
The successful candidate will join the Computer Vision, Imaging and machine Intelligence (CVI²) research group (http : / / cvi2.
uni.lu) headed by Prof. Djamila Aouada to conduct exciting research in the field of 3D Computer Vision. He / she will help out in shaping research directions and carry out high-impact research within the SnT and Artec3D R&D activities.
The successful candidate will perform the following tasks :
Shaping research directions and producing results in the field of 3D Computer Vision. Topics include but are not limited to : 3D shape modelling 3D mesh analysis 3D CAD modelling 3D reverse engineering Geometric deep learning
Disseminating results through scientific publications
Coordinating research projects and delivering outputs
Participating in writing proposals
Participating to the teaching activities
Providing support in setting up and running experiments
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, TNNLS, etc.)
Strong development skills in Python / C / C++
Strong mathematical background
Broad experience with machine learning algorithms and deep learning concepts
Experience with at least one of the following deep learning frameworks : TensorFlow, PyTorch, Keras
Experience with relevant libraries for 3D mesh and point cloud analysis
Previous experience in 3D Computer Vision
A particular interest for 3D CAD modelling
Commitment, team working and a critical mind
Fluent written and verbal communication skills in English are mandatory
Here’s what awaits you at SnT
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