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University of Luxembourg

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

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United Kingdom

University

University of Luxembourg

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Keywords

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

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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

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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