Doctoral Researcher in Digital Business & Agentic AI
Join an interdisciplinary team to research the governance, security, and human-AI collaboration of agentic AI platforms in the energy sector.
Best for:Best for candidates with a background in Information Systems, Computer Science, or Management interested in the socio-technical aspects of AI.
Overview
The University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT) is seeking a doctoral researcher to join the FINATRAX Research Group. This three-year industrial research project focuses on the scientific foundations of reliable, governed, and customer-centric agentic AI within the regulated European energy retail market. The successful candidate will investigate governance tensions, digital sovereignty, human-agent collaboration, and security implications of AI adoption. This position offers the opportunity to design a personal research portfolio while collaborating with industry partners and international experts.
What you'll do
- Analyze governance tensions arising from the integration of agentic AI into enterprise platforms.
- Investigate the implications of agentic AI for digital and data sovereignty.
- Examine the dynamics and patterns of human-agentic AI collaboration.
- Assess the security and privacy challenges associated with AI adoption in organizational contexts.
- Study customer delegation preferences and engagement patterns in AI-driven services.
- Collaborate with industry partners and interdisciplinary team members on project deliverables.
Requirements
Degree required: MSc degree or equivalent in Information Systems, Business Administration, Business Informatics, Computer Science, or a related socio-technical field.
Degree offered: PhD
Language: Excellent command of English; B2-level proficiency in the language of the thesis.
Instruction: English
- Knowledge of socio-technical or socio-economic studies of technology adoption.
- Understanding of digital sovereignty or cybersecurity principles.
- Familiarity with human-AI interaction or human factors.
- Experience or interest in Large Language Models and LLM-based agents.
- Excellent command of English.
- Must hold a Master's degree or equivalent.
Funding & terms
How to apply
Applications must be submitted formally through the university's online HR portal. Include a CV, a cover letter with specific motivation statements (minimum 300 words each), and academic transcripts.
- CV
- Cover letter
- Academic transcripts
Contact
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