Doctoral Researcher in Services and Data Management
Join SnT’s SEDAN group to advance AI-driven security, blockchain, and FinTech research with a focus on data analytics and machine learning.
Best for:Best for recent master’s graduates in computer science, data science, or engineering with expertise in machine learning, cybersecurity, and Python programming, seeking a PhD opportunity in AI-driven security and FinTech research.
Overview
This PhD position at the University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT) offers the opportunity to conduct cutting-edge research in the Services and Data Management (SEDAN) group. The role involves developing novel research in data analytics, machine learning, and cybersecurity, with a focus on FinTech, blockchain security, decentralized finance, and cloud/vehicular network reliability. The successful candidate will collaborate with academic and industrial partners, contribute to scientific publications, and participate in project reporting and outreach activities. The position is ideal for applicants with a strong background in computer science, data science, or related fields and a passion for interdisciplinary research at the intersection of AI, security, and technology.
What you'll do
- Develop novel research directions aligned with SEDAN’s priorities in AI, cybersecurity, and data management.
- Propose and implement innovative solutions to address challenges in FinTech, blockchain, and cloud security.
- Publish research findings in top-tier scientific journals and conferences, including patents and open-source software where applicable.
- Design, execute, and benchmark experiments to validate research outcomes.
- Collaborate with academic and industrial partners to advance research impact.
- Participate in proposal writing, project reporting, and organizing workshops or demonstrations.
- Engage in outreach activities to promote the group’s research and foster interdisciplinary collaboration.
Requirements
Degree required: Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Applied Mathematics, or a closely related field
Degree offered: PhD
Language: At least B2-level proficiency in the language of the thesis (e.g., English, French, or German).
Instruction: English
- Strong interest and foundational knowledge in machine learning, AI, security, and reliability.
- Proficiency in Python or other programming languages for research implementation.
- Experience with sound software engineering practices (version control, testing, reproducible experiments).
- Ability to conduct research in data analytics, AI-driven cybersecurity, or related fields.
- No explicit nationality or residency restrictions mentioned.
- Applicants must hold a master’s degree in a relevant field.
- No age or prior experience caps specified.
Funding & terms
How to apply
Applicants must submit their application online through the University of Luxembourg’s HR system. The application should include a CV, a cover letter outlining motivation and research alignment with SEDAN’s priorities, and transcripts of all university-level courses. Early applications are encouraged as the process is rolling.
- CV
- Cover letter explaining motivation and research interests
- Transcript of all university-level courses and results
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