University of Luxembourg is inviting applications for a Research Associate (Postdoctoral) position in close cooperation with our industrial partner Artec3D. The successful candidate will join the Computer Vision, Imaging and machine Intelligence (CVI²) research group headed by Prof. Djamila Aouada to conduct exciting research in the field of 3D Computer Vision.  The selected candidate will help out in shaping research directions and carry out high-impact research within the SnT and Artec3D R&D activities.

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

Requirements:

  • Applicant must hold 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

Applications:

Apply online and applications should be submitted online and include:

  • Curriculum Vitae, including your contact address, work experience, publications
  • Cover letter indicating the research area of interest and your motivation
  • Contact information for 3 referees, including contact details
—————–Quick Overview————-
Organization University of Luxembourg
Country Luxembourg
Fellowship Level Postdoctoral
Subject areas Electrical Engineering, Computer Science, Applied Mathematics
Fellowship amount Varies
Eligibility Open to all nationalities
Deadline Varies
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