IDEAS NCBR Sp. z o.o. is a research and development centre operating in the field of artificial intelligence and digital economy, whose mission is to support the development of these technologies in Poland by creating a platform that connects the academic and business environments.
IDEAS NCBR Sp. z o.o. is a part of the National Center for Research and Development (NCBR Group). Our goal is to build in Poland the largest, friendly to conduct innovative research platform, to educate a new generation of scientists focused on the practical application of the developed algorithms and their subsequent commercialization in the industry, finance, medicine and other branches of the economy.
At IDEAS NCBR, we are constantly on the lookout for new talent. If you are a student or graduate of Applied Mathematics, Computer Science, or a related discipline and would like to pursue a career in research, then share your plans with us by applying for this position. As a team member, you will have the opportunity to work with many authorities in the field of artificial intelligence in the team led by Dr. Przemyslaw Musialski, Assoc. Prof.
With expertise in diverse areas such as geometric modeling, geometry processing, computational fabrication, and machine learning, we strive to create algorithmic solutions for digital content generation. Our research efforts are dedicated to revolutionizing content creation, geometry generation, realistic rendering, and physical simulations in applications ranging from computer games and movie productions to virtual reality and 3D design.
As a part of our group, you will have the opportunity to work on cutting-edge research projects, publish in top-tier conferences and journals, and collaborate with a diverse team of experts.
This research group focuses on advancing geometry generation for computer games and movie productions through the innovative use of generative modeling techniques. This interdisciplinary project aims to revolutionize content creation by developing novel approaches and architectures to enhance the generation of geometric assets and virtual worlds.
In this project, we will build on top of state-of-the-art generative modeling techniques and research novel methods for geometry generation using implicit neural representations (INRs). The application fields of the developed algorithms are generations of large scenes or open worlds for computer games and movie productions. By leveraging the power of generative models, we aim to enable more efficient, realistic, and artistically controllable content creation processes.