PhD Position in Business Analytics, University of Marburg, Germany

Summary

The University of Marburg offers a part‑time (50%) PhD position in Business Analytics within the Faculty of Economics, Business Analytics group. The role involves developing an independent doctoral project on topics such as uncertainty‑aware AI, data quality, generative AI, and AI‑supported business data analysis, while contributing to research publications and teaching activities. The position is funded according to the TV‑H pay scale (Entgeltgruppe E13) with a three‑year contract, includes pension contributions, free public transport, and flexible working conditions. Candidates should hold an above‑average university degree (Diploma, Master or equivalent) in economics, informatics, mathematics, data science or related fields, possess strong quantitative and programming skills, and demonstrate good English and German language proficiency. The university provides mentorship, a strong research network, and professional development support.

Key Facts

About the Project

The doctoral project focuses on advancing trustworthy AI in business analytics, addressing data quality, explainable and reliable AI, uncertainty handling, and applications of generative AI and AI agents for decision‑making. Candidates will explore methods such as uncertainty‑aware AI, data‑driven quality assessment, and AI‑supported analysis of corporate data, aiming to produce high‑impact publications and contribute to interdisciplinary research at the intersection of AI and human decision processes.

Key Responsibilities

• Provide scientific services in research and teaching
• Conduct an independent PhD project on topics such as uncertainty‑aware AI, data quality, generative AI, or AI‑supported business data analysis
• Participate in research projects and co‑author publications at the interface of Business Analytics, generative AI and human decision‑making
• Assist in teaching bachelor and master courses (exercises, case studies, hands‑on programming projects) and supervise seminars and theses
• Engage in independent scientific work contributing to personal qualification

Required Skills

• Above‑average completed university degree (Diploma, Master or equivalent) in economics, informatics, mathematics, data science or related fields
• Strong interest in data, AI and responsible AI deployment
• Proficiency in quantitative methods (statistics, machine learning, mathematical modelling, experiments)
• Programming skills, ideally in Python, or willingness to acquire them
• Curiosity, analytical thinking, independent and structured work style, teamwork
• Good English proficiency and German at CEFR level C1

Who Should Apply

Applicants with an above‑average university degree (Diploma, Master or equivalent) in economics, computer science, mathematics, data science or related disciplines, who are motivated to conduct independent research on trustworthy AI and data quality, have solid quantitative and programming skills (preferably Python), and possess strong analytical thinking, teamwork, and communication abilities in English and German (C1) are encouraged to apply.

Benefits

• Opportunity to shape a new professorship from its inception
• Personal mentorship and close collaboration with the research group
• Access to a strong network of academic and industry partners
• Support to present research at international conferences
• Interdisciplinary environment focused on data‑driven decision making
• Flexible working hours and mobile work options
• Remuneration according to TV‑H (Entgeltgruppe E13) with pension (VBL)
• Free public transport ticket for Hessen
• University sports program
• Professional development through individual promotion program, research colloquium, MARA, International Office and teaching centre
• Family‑friendly measures, possible reduction of working time, support for employees with disabilities

About the Employer

The Philipps‑Universität Marburg, founded in 1527, educates around 22,000 students and combines excellent teaching with broad, high‑quality research addressing contemporary societal challenges.