Research Associate (Postdoc) on applied machine-learning and software engineering
University of Luxembourg
Luxembourg
il y a 2j
source : Euraxess

OFFER DESCRIPTION

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 Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD holders in the general areas of Engineering, Robotics and Computer Science.

SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.

For further information you may check :

You will help STATEC in capacity building in data science (DS) / machine learning for official statistics .

Your Role...

You will contribute to research work in the area of applied machine-learning (ML) and software engineering (SE) . The topics that may be explored include (but are not limited to) :

  • Contributing to theories, techniques and tools to ensure the secure, efficient and robust deployment and evolution of ML systems
  • Applying DS and ML techniques to topics of interest for STATEC, such as : Deriving statistically sound indicators from mobile phone dataHandwriting recognition for paper questionnaires in surveysText miningFrom scanner data to price index categoriesNowcasting, with random forests
  • Suggest relevant DS and ML techniques for tackling the above mentioned (or similar) topics
  • Teaching and fostering interest in DS and ML at the level of the institute
  • Publishing your research contribution in top-venues in the fields of ML and SE
  • The results of the project are expected to apply to multiple use cases, even if the main used case is related to mobile phone data, in collaboration with partners of the group.

    Depending on your profile, the project can focus more on theory, development and / or applications. However, all three aspects are expected to be covered during the project.

    The Supervision Team You Will Be Working With Is

  • Maxime Cordy : daily advisor
  • Yves Le Traon : head of SerVal
  • You Will Be Required To Perform The Following Tasks

  • Carrying out research in the predefined areas
  • Teaching and fostering interest in DS and ML at the level of STATEC
  • Survey the scientific literature in the relevant research domains
  • Disseminating results through scientific publications
  • Communicate and closely work with the partner to collect requirements and report results
  • Implement proof-of-concept software tools
  • Your Profile...

    Qualification : The candidate should possess a PhD in Computer Science.

    Experience : The ideal candidate should have some knowledge and / or experience in a number of the following topics :

  • Software engineering
  • Data science
  • Machine learning and AI
  • Algorithmic complexity and scalability
  • Strong software development skills are mandatory.

    Language Skills : Fluent written and verbal communication skills in English or French are required.

    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 45 industry partners
  • Multiple funding sources for your ideas . The University supports researchers to acquire funding from national, European and private sources
  • Competitive salary .
  • 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!

    Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

    In Short...

  • Contract Type : Fixed Term Contract 24 Month, extension possible up to the total of 5 years
  • Work Hours : Full Time Hours per Week
  • Location : Kirchberg (Esch / Belval from 1st January 2024)
  • Job Reference : UOL04502
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