Doctoral Candidate (PhD Position) in 3D Computer Vision
University of Luxembourg
Luxembourg, Luxembourg  
il y a 4j
source : Academic Media Group International AB

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!

Your Role

We offer two attractive PhD candidate positions in close cooperation with our industrial partner . Artec3D is a global leader in handheld and portable 3D scanners and has been at the forefront of developing innovative 3D technology since 2007 (www.artec3d.com).

The successful candidates will join the Computer Vision, Imaging and machine Intelligence (CVI²) research group (http : / / cvi2.

uni.lu) headed by Prof. Djamila Aouada to pursue a PhD in the field of 3D Computer Vision. They will carry out research in predefined topics contributing to SnT and Artec3D R&D activities.

These positions will require conducting full scale research, starting from reviewing state-of-art methods through real-time implementation, and experimental validation.

The position holders will be required to perform the following tasks :

  • Carrying out research in a predefined topic and producing results.
  • Disseminating results through scientific publications and / or patents
  • Providing support in setting-up and running experiments
  • Proposing and implementing real-time solutions
  • Participating in proposal writing
  • Participating in organizing relevant workshops and demonstrations
  • Your Profile

  • A master’s degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
  • Strong background in image / signal processing and in particular 3D computer vision
  • Strong programming skills in Python / C / C++
  • Familiarity with machine learning and deep learning concepts
  • Experience with at least one of the following deep learning frameworks : TensorFlow, PyTorch, Keras, etc.
  • Experience with relevant libraries for 3D mesh and point cloud analysis
  • Strong background in Applied Mathematics
  • 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

  • A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
  • 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
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