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!
The successful candidates will join the headed by Prof. Djamila Aouada . CVI2 offers the opportunity to work on multiple projects (projects with industrial partners such as Lift-Me Off, POST, 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 group composed of highly motivated and active members.
This is a fully funded Postdoc position for 2 years. The position holder will be involved in ESA funded projects and will be working closely with our industrial partner POST.
He / she will be required to perform the following tasks :
Propose and develop models and algorithms (Predictive models, Artificial Intelligence, Machine Learning, etc.) in order to meet the projects demands
Work closely with project’s stakeholders
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
A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
Highly experienced in one or more of the following topics : Computer vision Pattern recognition Deep learning / machine learning
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, C 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