Research Associate (Postdoc) in Computer Vision & Data Science

University of Luxembourg

Esch-sur-Alzette, Luxembourg

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About the

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 Computer Vision, Machine Intelligence and Imaging (CVI2) 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.

Your

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

Your

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

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 Partnership Programme, we work on projects with more than 45 industry partners

Multiple funding sources for your ideas . The University supports researchers to acquire funding from national, European and private sources

Competitive salary package . The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating

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

But wait, there’s more!

Complete picture of the perks we offer

Discover our Partnership Programme

Discover CVI2’s research activities

Contract Type : Fixed Term Contract 2 Year

Work Hours : Full Time 40.0 Hours per Week

Location : Kirchberg

Job Reference : UOL04027

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