Research Scientist in Computer Vision
Université du Luxembourg
Belval, Esch-sur-Alzette, LU
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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...

  • Are you a passionate computer vision researcher with a people-oriented approach?
  • Do you publish in top-tier Computer Vision and Machine Learning conferences?
  • Do you have experience working with industry on applied projects?
  • Do you enjoy working in a diverse multi-cultural environment?
  • Are you motivated in playing a leading role and conducting cutting-edge research in Computer Vision and Machine Learning?
  • If yes to all, then this position could be for you!

    The successful candidate will assume a leading role in the Computer Vision, Imaging and Machine Intelligence (CVI2) Research Group, working closely with Prof.

    Djamila Aouada and the members of CVI2. The candidate will work on defining, acquiring, managing, and scientifically contributing to projects in the areas of expertise of CVI2.

    The group is engaged in a number of industrial, national and European projects. It manages two well-equipped laboratories, and multiple international challenges with unique datasets at top-tier conferences (CVPR, ECCV, ICIP).

    The successful candidate will be responsible of :

  • Collaborating with the Head of the CVI2 Research Group in ensuring the success of the group’s mission
  • Shaping research directions and producing results.
  • Proposal writing including national and European calls.
  • Disseminating results through scientific publications.
  • Attracting industrial funding and liaising with industrial partners.
  • Coordinating research projects and delivering outputs.
  • Supervising PhD students.
  • Organizing relevant workshops and demonstrations.
  • Participating in teaching activities.
  • Your Profile...

  • PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field.
  • At least 3 years of postdoc experience in a relevant research area.
  • Documented research expertise in Computer Vision and Machine Learning, with a focus in one or multiple of the following topics : calibration, reconstruction, Structure from Motion, data completion, shape representation, body / face / gesture modelling, CAD data analysis, data fusion, neural rendering, domain adaptation, transfer learning, anomaly detection.
  • Proven track record in carrying a leading role in research project acquisition and project management.
  • Experience in research collaboration with industrial partners.
  • Experience in supporting PhD candidates in their research.
  • Publications at top-tier computer vision and machine learning venues.
  • Strong development skills in Python / C++.
  • Strong mathematical background.
  • Broad experience with machine learning algorithms and deep learning concepts.
  • Commitment, team work and a critical mind.
  • Fluent written and verbal communication skills in English are mandatory.
  • Language Skills : Fluent written and verbal communication skills in English are required.

    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 Partnership Programme, we work on projects with more than 45 industry partners
  • Be part of a multicultural family . At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more
  • In Short...

  • Contract Type : Contrat à durée indéterminée
  • Work Hours : Full Time 40.0 Heures par Semaine
  • Location : Kirchberg
  • Job Reference : UOL05115
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