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!
We offer an attractive Research Associate (Postdoctoral) position in close cooperation with our industrial partner Artec3D. 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 candidate will join the Computer Vision, Imaging and machine Intelligence (CVI²) research group (http://cvi2.uni.lu) headed by Prof. Djamila Aouada to conduct exciting research in the field of 3D Computer Vision. He/she will help out in shaping research directions and carry out high-impact research within the SnT and Artec3D R&D activities. The successful candidate will perform the following tasks:
Applications should be submitted online and include:
All qualified individuals are encouraged to apply.
Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.
For further information, please contact Djamila.Aouada@uni.lu.Mehr
|Titel||Research Associate (Postdoc) in 3D computer vision|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Veröffentlicht||Dezember 24, 2020|
|Jobart||Post Doc  |
|Fachbereiche||Künstliche Intelligenz,   Angewandte Mathematik,   Elektrotechnik,   Geometrie und Topologie,   Computergestützte Mathematik,   Maschinelles Lernen,   Maschinelles Sehen,   Computer Vision  |