Research Support Technician in Computer Vision - Luxembourg - Springer Nature

Springer Nature

Entreprise vérifiée

Luxembourg

il y a 1 semaine

Posté par:

Jean Schmitz

Recruteur de beBee

Description

Research Support Technician in computer vision space app:

Employer
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Location
Luxembourg
Salary
Negotiable
Closing date
9 Jun 2024
Discipline

Computing, Engineering, Mathematics
Job Type
Research Assistant
Employment - Hours
Full time
Duration
Fixed term
Qualification
Professional certification
Sector
Academia- You need to sign in or create an account to a job.

Job Details
Company

Job Details:

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...
The position holder will be required to perform the following tasks:

Assisting in the development of all the research activities in a predefined topic and producing results
Providing support in settingup and running experiments
Proposing and implementing realtime solutions
Participating in organizing relevant workshops and demonstrations
Assist on the laboratory setup preparation and experiment configuration

Your Profile...

A bachelor degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
Extensive experience working in different industrial domains
Experience working with crossfunctional teams of data scientists, user researchers, product managers, designers, and engineers
Experience managing data and AI programs for schools
Strong background in image/signal processing and in particular
Performed analysis on large sets of data to extract impactful insights
Strong programming skills in Python/C/C++
Familiarity with machine learning and deep learning concepts
Experience with at least one of the following deep learning frameworks: TensorFlow, PyTorch, Keras, etc.
Strong background in Mathematics
A particular interest in simulator engines such as Unity or Unreal
Commitment, team working and a critical mind
Fluent written and verbal communication skills in English are mandatory

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

Find out more about us

Applications in English should include:

A full Curriculum Vitae
Publication list, if any
Transcript of all modules and results from universitylevel courses taken
Preferably, a Github/Gitlab webpage listing completed projects in Computer Vision

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.

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