Research Associate (Postdoc) in Machine Learning and Software Engineering
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Luxembourg, Luxembourg
il y a 6j
source : Euraxess

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD holders in the general areas of machine learning and software engineering within its SVV research group.

SnT carries 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 refer to

  • Research Associate (Postdoc) in Machine Learning and Software Engineering*
  • Your Role*
  • This is a fully funded position for 2 years within the research project "FUNTASY - Functional Safety for Autonomous Systems".

    A possible extension for one additional year is already covered by the project funding.

  • FUNTASY concerns the development of automated techniques to support functional safety practices in autonomous systems. Autonomous systems like self-driving cars have the potential to reshape our future by automating complex tasks and preventing human errors;
  • unfortunately, their adoption in safety-critical contexts remains under debate. Indeed, being based on black-box machine learning solutions such as Deep Neural Networks, they cannot undergo traditional software safety certification processes that rely on the understandability of the system implementation.

    FUNTASY will overcome such limitations by providing automated solutions to (1) verify autonomous systems software, (2) generate explanations for software behaviour, (3) improve autonomous systems software.

    Enabling solutions will be simulation technology, evolutionary algorithms, and methods to capture and explain the internal DNN behaviour.

    FUNTASY will be a collaboration between the University of Luxembourg’s SnT Centre and IEE an international sensing systems supplier based in Luxembourg (

    The successful candidate will work with Dr. Fabrizio Pastore, Chief Scientist II at SnT, industrial supervisors from IEE, and will join the *SVV research group*, headed by Prof.

    Lionel Briand. SVV focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis.

    For further information, you may refer to

  • Contribute to the project FUNTASY - Functional Safety for Autonomous Systems
  • Carry out research in the predefined areas
  • Disseminate results through scientific publications
  • Present results in well-known international conferences and workshops
  • Coordinate research activities and deliver outputs
  • Implement solutions
  • Provide guidance to PhD and MSc students
  • Organize relevant workshops and demonstrations
  • Your Profile*
  • Qualification : The candidate should possess a PhD degree in Computer Science, Machine Learning, or Software Engineering.

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

  • Machine learning
  • Interpretation and explanation of DNNs
  • Verification and analysis of DNNs
  • Software verification and validation
  • Search-based software engineering
  • Language Skills : Fluent written and verbal communication skills in English are required.

  • We offer*
  • The University offers a two-year employment contract and may be extended up to five years. The University offers highly competitive salaries and is an equal opportunity employer.

    You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university.

  • Further Information*
  • Signaler cette offre d'emploi

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Mon email
    En cliquant sur « Continuer », je consens au traitement de mes données et à recevoir des alertes email, tel que détaillé dans la Politique de confidentialité de neuvoo. Je peux retirer mon consentement ou me désinscrire à tout moment.
    Formulaire de candidature