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Ai model refiner

Daleiden
beBeeResearch
Model
Inserat online seit: Veröffentlicht vor 22 Std.
Beschreibung

About the role

We are looking for a researcher to join our team and contribute to our projects in areas such as Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

The successful candidate will have the opportunity to work on a CORE project funded by the Luxembourg National Research Fund (FNR) to explore and validate theoretical research.

The main objective of the project is to build a cybersecurity-oriented telemetry framework capturing and modeling causal dependencies in a microservice-based infrastructure.

The aim of the project is to progress on causal inference modeling by combining probabilistic reasoning and deep learning models.

The candidate will research on refining AI-generated causal model through a Reinforcement Learning loop.

The postdoc will also be involved in project management, reporting and dissemination.

During the research position, the candidate will have the opportunity to participate and propose other projects within the group.

Your Profile

The ideal candidate should possess a PhD degree in Computer Science/engineering or Telecommunication Engineering.

The following skills and qualifications are required:

* A collaborative team player with a desire to make a personal impact
* A motivated candidate who can work independently and efficiently
* Self-initiative, creativity, curiosity, flexibility and enthusiasm to work

Key Skills and Qualifications

The candidate should have some knowledge and/or experience in one or several of the following areas:

* Good understanding of the different ML algorithms and architectures
* Good knowledge in statistics and stochastic models
* Knowledge in Cybersecurity
* Good programming skills
* Comfortable with Linux environments

Language Skills

Fluent written and verbal communication skills in English are required.

Knowledge of either French, German or Luxembourgish will be appreciated but are not a requirement to apply.

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