PhD Candidates in Computer Vision
University of Luxembourg
Esch-sur-Alzette, Luxembourg
il y a 6j

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!

Your Role

We offer attractive PhD candidate positions including industrial PhD positions conducting research in close cooperation with an industrial partner.

The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to pursue a PhD in the general area of Computer Vision.

Multiple positions are open. They will carry out research in predefined topics contributing to CVI2’s activities in computer vision and pattern recognition.

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

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.

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

Your Profile

  • A master’s degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
  • Strong background in image / signal processing or / and in computer vision
  • Strong programming skills in Python / Matlab / C / C++
  • Strong mathematical background
  • Familiarity with deep learning frameworks such Pytorch, Tensorflow
  • Commitment, team working and a critical mind
  • Fluent written and verbal communication skills in English are mandatory
  • Here’s what awaits you at SnT

    But wait, there’s more!

  • Complete picture of the perks we offer
  • Discover our Partnership Programme
  • Discover CVI2’s research activities
  • In Short

  • Contract Type : Fixed Term Contract 3 Year
  • Location : Kirchberg
  • Job Reference : UOL03720
  • Start Date : as early as possible
  • Further Information

    Applications should be submitted online and include :

  • Curriculum Vitae
  • List of three referees, including details (name and email address, etc.)
  • Publication list
  • Transcript of all modules and results from university-level courses taken
  • Research statement and topics of particular interest to the candidate (300 words)
  • All qualified individuals are encouraged

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