CDQ

PhD position (100%) in Information Systems: GenAI and Agentic AI for Data Management

CDQ  •  Federal Republic of Germany (Onsite)  •  2 months ago
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Job Description

Warum wir?

Are you passionate about shaping the future of data management with GenAI and Agentic AI in enterprises? In this position, you will conduct cutting-edge research in data management, working closely with Fortune 500 companies.

You will be working in the Competence Center Corporate Data Quality ( CC CDQ), a leading European research consortium and expert community in the field of data management, while conducting your PhD in one of our partner universities. As member of the CC CDQ research team, you will play a key role in driving the co-innovation activities around the following topics:

  • Generative AI and Agentic AI for data management
  • Data and AI Governance

Deine Mission

  • review the current state of research and practice, analyze challenges in multinational firms as well as emerging technologies and trends.
  • develop innovative concepts, methods, and tools for data management.
  • engage with practitioners within the CC CDQ community to present, discuss and evaluate your research findings, ensuring they have real-world impact.
  • contribute to the academic field of information systems by publishing articles in top-tier journals and presenting at prestigious international conferences.
  • support teaching activities, including supervising projects and Master theses.

So begeisterst Du uns:

  • a passion for and demonstrated experience in data and AI, especially in fields such as Generative AI, agentic AI, and data and AI governance.
  • strong interest in exploring challenges and opportunities in multinational firms.
  • a Master’s degree in Information Systems, Data Science, Industrial Engineering, or Management, or a related field.
  • professional experience and/or internships in relevant areas.
  • excellent analytical and communication skills.
  • good writing skills and fluency in English.

How to apply:

If you are interested in this position, please contact Prof. Christine Legner ( christine.legner@unil.ch) and Dr. Richard Lehmann ( Richard.lehmann@cdq.com) with your CV and transcripts.

CDQ

About CDQ

We deliver 100% data quality with zero manual maintenance for data-driven organizations.

🍒 𝗛𝗼𝘄?

➡️ Powered by sharing

➡️ Enabled by software solutions

➡️ Supported by research

By automating business partner data management processes, you can avoid the error-prone manual work of creating and maintaining data. We support your business partner master data activities from data assessment, normalization, merging, and quality assurance to fraud prevention, bank account trust scoring, and sanctions checks.

We emerged from the University of St. Gallen in Switzerland and are a proud global pioneer in data sharing with more than 18 years of data management expertise.

🍒 𝗪𝗵𝘆 𝗰𝗵𝗼𝗼𝘀𝗲 𝗖𝗗𝗤?

With CDQ, you access the world of external business partner data (+70 external registers and premium data sources available on our CDQ Cloud Platform) and a gateway to connect to any business application (e.g. SAP MDG) with a set of more than 2500 ready-to-use data quality rules.

In partnership with market leaders, we deliver master data automation for intelligent enterprises, offering a seamless integration for accessing accurate business partner information.

➡️ Our solution CDQ First Time Right has been officially endorsed by SAP.

➡️ Gartner’s Magic Quadrant recognized CDQ approach in the Interenterprise MDM category.

➡️ CDQ solutions offer a high level of customization, featuring a rule-based engine and adaptable APIs that you can effortlessly integrate directly into your existing ERP, CRM, and SRP systems.

Leading global enterprises, such as Bayer, Tetra Pak, Nestle, and many more Global Fortune 2000 companies rely on CDQ software solutions to better solve data challenges and benefit from exchange of best practices within the CDQ Data Sharing Community.

Experience the difference with CDQ and unlock the full potential of your master data management!

Industry
IT & Software
Company Size
51-200 employees
Headquarters
St. Gallen, CH
Year Founded
2015
Website
cdq.ch
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