Description
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.
As the successful candidate, you will join the Security, Reasoning and
Validation (SeRVal) group of the SnT, under the supervision of Prof. Yves Le
Traon and Dr. Maxime Cordy, working on a research collaboration between STATEC
(the national statistical institute of Luxembourg) and SnT.
Machine Learning (ML) provides engineers with the prospect of producing
data-driven software, with little manual code writing. This radical change
offers a unique opportunity to further automate software production, subject
to the condition that we can automatically maintain this combination of
conventional code with ML models by developing robust and automated update
methods.
The overall research objective is automating the robustification and
generalization for Machine-Learning enabled systems. The main challenge is
about leveraging and improving adversarial testing of ML, augmenting datasets
with realistic yet adversarial cases, and generalizing the models.
In that perspective, the project is closely linked with STATEC needs, as it is
investigating to what extent data science and machine learning could
contribute to improve their internal processes and statistical analyses. The
special case of large-size datasets, typically arising from high frequency
automated recording of human activites, and the way to extract its statistical
essence, is of high importance for the institute.
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
Your research may thus be applied to STATEC, and contribute to capacity
building in data science (DS)/machine learning for official statistics.
You will contribute to research work in the area of applied machine-learning
(ML) and software engineering (SE), with a special focus on the continuous
maintenance of machine-learning enabled systems. 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
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. 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
Prof. Yves Le Traon: head of SerVal research group
(https: // scholar.google.com/citations?user=DmGlmNEAAAAJ&hl=en)
Dr. Maxime Cordy: daily advisor
You Will Be Required To Perform The Following Tasks
Carrying out research in the predefined areas
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
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 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
Download the brochure: Why choose SnT for your PhD?
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 36 Month (extendable up to 48 months
if required)
Work Hours: Full Time 40.0 Hours per Week
Start date: asap, before end of 2022
Location: Kirchberg
Employee and student status
Job Reference: UOL04976
The yearly gross salary for every PhD at the UL is EUR 38.028,96 (full time)
Further Information
Applications should be submitted online and include:
Full CV, including list of publications and name (and email address,
etc) of three referees
Transcript of all modules and results from university-level courses taken
Research statement and topics of particular interest to the candidate
(300 words)
Motivation letter
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.
About the University of Luxembourg
University of Luxembourg is an international research university with
a distinctly multilingual and interdisciplinary character. The
University was founded in 2003 and counts more than 6,700 students and more
than 2,000 employees from around the world. The University's faculties and
interdisciplinary centres focus on research in the areas of Computer Science
and ICT Security, Materials Science, European and International Law, Finance
and Financial Innovation, Education, Contemporary and Digital History. In
addition, the University focuses on cross-disciplinary research in the areas
of Data Modelling and Simulation as well as Health and System Biomedicine.
Times Higher Education ranks the University of Luxembourg #3 worldwide for
its “international outlook,” #20 in the Young University Ranking 2021 and
among the top 250 universities worldwide.
Further information
For further information, please contact us at maxime.cordy@uni.lu or
yves.letraon@uni.lu
