Research Associates in Computer Vision
University of Luxembourg
Luxembourg, Luxembourg  
il y a 2j
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

The successful candidates will join the headed by Prof. Djamila Aouada in order to carry out research in the general area of Computer Vision.

Multiple positions are open.

CVI2 offers the opportunity to work on multiple projects (projects with industrial partners such as Lift-Me Off, ARTEC 3D and DataThings and / or national and international academic projects).

All projects require conducting full scale experiments, including real-time implementation, data acquisition, training and validation at the SnT Computer Vision Lab.

CVI2 is a young group composed of highly motivated and active members. Their work focuses on innovative research topics such as 3D shape modelling, 6DOF object pose estimation, human behavior understating, and deep learning and is disseminated in top-tiers venues.

  • Shaping research directions and producing results
  • Attracting funding in cooperation with industrial partners
  • Participating in proposal writing
  • Coordinating research projects and delivering outputs
  • Disseminating results through scientific publications
  • Providing guidance to PhD and MSc students
  • Participating to the teaching activities
  • Providing support in setting up and running experiments in the SnT Computer Vision laboratory
  • Proposing and implementing real-time solutions
  • Participating in organizing relevant workshops and demonstrations
  • Your Profile

  • A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
  • Competitive research record in computer vision and / or image / signal processing focusing on one or more of the following topics : Computer vision Pattern recognition Deep learning / machine learning Computer graphics
  • Experience with European projects (FP7 / H2020), national / international projects and / or industrial project
  • Strong mathematical background
  • Experience with machine learning algorithms
  • Commitment, team working and a critical mind
  • Strong development skills in Python, Matlab or / and C++
  • Familiarity with deep learning frameworks such as Pytorch and Tensorflow
  • 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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