PhD in Domain Adaptation for Space Applications

il y a 6 jours

Luxembourg, Luxembourg Université du Luxembourg Temps plein

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

We offer an attractive PhD candidate position research in close cooperation with our industrial partner LMO. LMO is a start-up located in London and Luxembourg designing novel AI Solutions to enable future in-orbit services ). The successful candidate will join the Computer Vision, machine Intelligence and Imaging (CVI2) research group headed by Prof. Djamila Aouada to pursue a PhD in the area of Domain Adaptation for Space applications. He/she will carry out research in predefined topics contributing to SnT and LMO's R&D activities. This project will require conducting full scale experiments, including data acquisition, training and validation at the SnT Zero-G Lab.

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

  • Carrying out research in a predefined topic and producing results
  • Disseminating results through scientific publications
  • Providing support in setting up and running experiments in the SnT Zero-G laboratory
  • Proposing and implementing solutions
  • Participating in organizing relevant workshops and demonstrations

For further information you may check: or contact

Your Profile

  • A master's degree in electrical engineering, Computer Science, Applied Mathematics or a related field
  • Strong background in image/signal processing or/and in computer vision
  • Strong programming skills in Python/Matlab/C/C++
  • Familiarity with machine learning and deep learning concepts
  • Strong mathematical background
  • Experience of working with one or more of the following frameworks: PyTorch, TensorFlow, Keras, etc.
  • Experience with Domain Adaptation
  • A particular interest for space applications
  • Commitment, team working and a critical mind
  • 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 Partnership Programme, we work on projects with more than 55 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, meal vouchers and health insurance
  • 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
  • Boost your career. Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities

But wait, there's more

  • Complete picture of the perks we offer
  • Discover our Partnership Programme

How to apply

Interested candidates should send their application in English and the application should include the following information:

  • A full CV
  • List of three referees, including details (name and email address, etc.)
  • Research statement and topics of particular interest to the candidate (300 words)
  • Github account (if any)
  • Publication list (if any)
  • Transcript of all modules and results from university-level courses taken
  • Research statement and topics of particular interest to the candidate (300 words)

All qualified individuals are encouraged to apply.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply 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.

General information:

  • Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Kirchberg
  • Employee and student status
  • Job Reference: UOL06473

The yearly gross salary for every PhD at the UL is EUR full time)

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