The research that drives progress
CKL is dedicated to transforming education and scientific research by leveraging AI both as a problem-solving tool and a driver of new knowledge, redefining how we learn, teach, and innovate across disciplines.
About us
The Constructor Knowledge Labs (C>KL) is a newly established research institute based in Bremen, Germany, dedicated to advancing applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence.
C>KL’s research activities aim at leveraging cutting-edge CS methodologies and ML models across a wide range of interdisciplinary domains, including Robotics, the Metaverse, Neurosciences, Neuropsychology, Education and Learning, and Life Sciences.
CKL maintains a close partnership with Constructor University, collaborating on joint research projects. The institute offers a dynamic and innovative environment where joint PhD students and researchers can engage in impactful, applied research in the aforementioned fields.

Mission
The Constructor Knowledge Labs (CKL) advances applied research in Computer Science, Software Engineering, and Artificial Intelligence.
Our mission is to develop cutting-edge AI methodologies and apply them across Robotics, Natural Sciences, Life Sciences, and Education.
CKL bridges fundamental research with real-world applications, driving technological progress, accelerating scientific discovery, and enhancing human well-being. Through collaboration with academia, industry, and policymakers, we shape the future of AI-driven
solutions to ensure they are ethical, impactful, and beneficial to society.
Goals
- Leveraging CS technologies to address challenges in various fields, delivering innovative solutions tailored to industry needs.
- Providing research opportunities, mentorship, and involvement in collaborative projects to young researchers and PhDs.
- Encouraging interdisciplinary research by fostering collaboration between diverse fields, emphasizing the integration of theoretical research with practical.
- Promoting education and vocational training through programs designed to advance expertise in scientific research, engineering, and technology, developed in collaboration with Constructor University and industry partners.


Vision
The Constructor Knowledge Labs (CKL) intends to set the worldwide standard for research into:
- Computer Science
- Artificial intelligence
- Machine Learning
Institutional Partners
The Constructor Knowledge Labs (CKL) has strong partnerships with leading research institutes and universities. We focus on fostering collaboration through joint research initiatives and the co-development of innovative solutions.
CKL actively encourages researchers to join its teams and contribute to groundbreaking projects. By exchanging knowledge and resources, we aim to accelerate progress and drive mutual benefits. Additionally, we prioritize project co-development, working together to address and solve real-world challenges.







Industry Partners
At CKL, we understand the importance of connecting with a specialized talent pool that meets your organization’s unique requirements. Our Partnership Programs offer opportunities for research collaboration, custom-tailored training, and the design of specialized tracks within existing university programs to address specific research needs.
CKL Partners gain exclusive access to cutting-edge research, educational initiatives, and top-tier researchers, providing priority connections with some of the brightest minds in the world.
To learn more about becoming a CKL Partner, please contact us.

Institute of Technology

Capital

Tech
Supervisory Board

Dr. Serg Bell (Chairman)
Founder & Chairman of the Board of Constructor Group. Chairman of the Board of Governors of Constructor University

Prof. David S. Rosenblum
Member of Constructor Group Strategic Advisory Board. Chair of the Department of Computer Science at George Mason University

Dr. Stanislav Protasov
Member of Constructor Group Strategic Advisory Board. President / Chairman of the Executive Board
CKL Core Team
Dr. Mariia Snigireva
Executive Director
Prof. Alexander Tormasov
Director of Academic Affairs
Dr. Ivan Lukovnikov
VP of Research and Transfer
Strategic Advisory Board

Prof. Sir Konstantin Novoselov
Nobel Laureate in Physics for groundbreaking work on graphene. Fellow of Royal Society, Professor at Centre for Advanced 2D Materials at National University of Singapore, and the Langworthy Professor in the School of Physics and Astronomy at the University of Manchester.

Prof. Alexandra Boltasseva
Professor at the School of Electrical and Computer Engineering and Birck Nanotechnology Center Purdue University

Prof. Wolfgang Wahlster
Professor of Computer Science, CEA of the German Research Center for Artificial Intelligence (DFKI), Professor of Artificial Intelligence (AI) and a pioneer of AI in Germany and Europe.

Prof. Scott Aaronson
Professor of Computer Science at University of Texas at Austin. His primary area of research is quantum computing and computational complexity theory

Prof. Artur Ekert
Director of the Center for Quantum Technologies, Oxford University, Fellow of Merton College, University of Oxford, Lee Kong Chian Centennial Professor, National University of Singapore

Prof. Jules Coleman
Interim Director, Institute for Advanced Studies, Bremen. The former Senior Vice Provost for Academic Planning and Professor of Philosophy and of Recorded Music at New York University