Publisher
source

University of Luxembourg

Doctoral Researcher in Services and Data Management University of Luxembourg in Luxembourg

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Cybersecurity
Software Engineering
Cloud Computing
Reliability Engineering
Blockchain Technology
Fintech
Statistics
Applied Mathematic

About this position

The University of Luxembourg is recruiting a Doctoral Researcher in Services and Data Management within the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The position is based in the Services and Data Management (SEDAN) research group, which works at the intersection of data analytics, machine learning, AI, cybersecurity, reliability, and secure ICT services.

SEDAN’s research strengths include FinTech analytics, the security of blockchain and decentralized finance, networking and cloud security, vehicular networks, the mathematical foundations of AI, AI cybersecurity, cybersecurity for AI, and agentic reliability engineering. The role is research-intensive and includes developing new research directions, designing and implementing solutions, supporting experiments and benchmarks, contributing to scientific publications, patents, or open-source software, and participating in proposal writing, reporting, workshops, demonstrations, and outreach.

The university describes itself as a multilingual and international research environment with strong links to industry, European institutions, and the Luxembourg labour market. The post is a full-time fixed-term doctoral contract for 36 months at the Kirchberg Campus. The annual gross salary is EUR 43,445 for a doctoral researcher.

Eligibility: candidates should hold a master’s degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Applied Mathematics, or a closely related discipline. Applicants should have a strong interest in ML/AI, security, and reliability, good programming skills, and familiarity with good software engineering practices such as version control, testing, and reproducible experiments. A minimum B2-level proficiency in the language of the thesis is required.

How to apply: submit a CV, a cover letter describing motivation and research interests, and a transcript of all university-level modules and results. Applications must be submitted online via the HR system; email applications are not accepted. Early application is encouraged because applications are processed as they arrive.

Funding details

Available

What's required

Applicants must hold a master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Applied Mathematics, or a closely related field. A strong interest in machine learning, AI, security, reliability, and current technologies is required, along with strong programming skills in Python or other programming languages. Interest in one or more SEDAN research areas is expected, including data analytics and ML for FinTech, blockchain and decentralised finance security, networking/vehicular/cloud security, mathematical foundations of AI, AI cybersecurity, cybersecurity for AI, or agentic reliability engineering. Experience with sound software engineering practices such as version control, testing, and reproducible experiments is an asset. Applicants must demonstrate at least B2-level proficiency in the language of their thesis.

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