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Research associate - generative ai for causal reasoning

Ralingen
Université du Luxembourg
Research Associate
Inserat online seit: 10 September
Beschreibung

About the SnT

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to 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.

Your role

The SnT is seeking a Postdoc to support the research and development work within the SEDAN group. We seek a candidate with expertise and/or interest in the following relevant fields: machine learning and cybersecurity.

The candidate will 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 to identify the complex inter-dependencies among events generated by applications, services, system and network communications with as a final trace toot causes of anomalies or attacks

Going beyond time-series model, the aim of the project is to progress on causal inference [1] modeling by combining probabilistic reasoning [2] and deep learning models [3]. The objective is thus to have a model capable to reason under uncertainty. Especially, the postdoc will research on refining AI-generated causal model through a Reinforcement Learning loop. Indeed, LLMs can generate logic-based code representing probabilities and the RL loop will be used to to refine the generated model by testing it over real data.

In addition, the candidate will be also involved in project management, reporting and dissemination. The project is an academic project oriented but applied research. It is a unique opportunity to develop new concepts with a close collaboration. The project team is composed of the proncipal investigator (Dr. Jérôme FRANCOIS) and two postdoc.

During postdoc, the candidate will have the opportunity to participate and propose other projects within the group. We are working on various topics related to applied ML and cyber-security, including applications and security of LLMs.

Your profile

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

What we're looking for:

* A collaborative team player with a desire to make a personal impact within our interdisciplinary research group
* A motivated candidate who can work independently and efficiently and is proactive in solving problems.
* Self-initiative, creativity, curiosity, flexibility and enthusiasm to work 

Knowledge and Experience:

The ideal 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
* Autonomous

The following qualifications of the applicant are a bonus:

* Experience in Large Language Models, reinforcement learning
* Good knowledge of networks and systems (protocols, monitoring)

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.

We offer

* Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
* A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
* A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

* Curriculum Vitae
* The name (and email address, contact details) of two or three referees

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

The University of Luxembourg is committed to achieving gender parity among its staff. Should candidates present equivalent profiles, preference will be given to female candidates in all departments where gender parity is not yet achieved.

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 24 Month
* Work Hours: Full Time 40.0 Hours per Week
* Location: Kirchberg Campus
* Internal Title: Postdoctoral researcher
* Job Reference: UOL07706

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).

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