Celonis for Researchers

Driving innovation through research is a cornerstone of our mission at Celonis. Our teams across all departments and functions are strongly committed to research and collaboration with academia.

In partnership with leading universities, we strive to maintain a strong presence in applied Process Mining research, continuously exploring new avenues for innovation. Since the launch of the Celonis Academic Alliance in 2016, we have jointly worked on over 1,200 student theses and over 90 applied research projects with our academic partners.

We welcome you to explore the opportunities for collaboration in research through partnering with Celonis.

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Our commitment to academic research

Wil van der Aalst BG BANNER
Jeff Naughton Celonis

Process mining relies on (big) data. With our evolving ETL and database infrastructure and process mining-inspired query language (PQL), we are continuously developing cutting-edge technologies to take advantage of the vast amount of process data and knowledge to deliver value for our customers. In our research projects, we are focusing on building ever more scalable and low latency databases and process mining engines.

Jeff Naughton
SVP Engineering and Technical Fellow

Object-centric process mining exemplifies the direct link between pioneering academic research and the emergence of transformative business software. In our research projects, we are working on the next generation of 3D process mining for industry applications.

Wil van der Aalst
Chief Scientist Celonis, Distinguished Humboldt Professor at RWTH Aachen University
Chief Scientist, Celonis

The AI team at Celonis (CeloAI) focuses on developing new capabilities and applications to solve advanced use cases and deliver outsized values to our customers. We leverage process intelligence (data and knowledge acquired through process mining and modeling) and combine PI with Machine Learning, Decision Intelligence, and Generative AI to enable new solutions, experiences, and intelligent applications. In our research projects, we are also exploring how Generative AI can potentially disrupt process mining, automation, and many other related areas.

Cong Yu
VP Engineering (AI and Knowledge)

Engagement opportunities for students & faculty

Student engagement
  • Celonis Thesis Program: Through our StaR program, we provide support for Bachelor’s and Master’s theses, as well as seminar and capstone projects.

  • Internships: Become an intern with one of our research-focused teams and be a part of the innovation journey at Celonis. Explore our internship opportunities!

Faculty engagement
  • Featured research collaborations: Collaborate with us on bilateral innovation projects.
  • Visiting researchers: Join one of our technical team and drive applied research with us.

Research areas @ Celonis

Process Mining

Our research in Process Mining delves deep into the analysis of real-world processes, uncovering valuable insights to optimize workflows and enhance operational efficiency.


At the intersection of AI and Process Mining, we're pioneering the integration of artificial intelligence to unlock novel use cases, making Process Mining insights readily accessible to non-technical users while driving operational excellence and innovation.


Our database research focuses on creating robust and scalable data management solutions, ensuring secure and efficient data storage, retrieval, and analysis for a wide range of Process Mining applications.