6 postdoc-machine-learning positions at Czech Technical University in Prague

Postdoctoral research position in Parallel and Distributed Optimization Algorithms for Machine Learning

to program distributed and shared memory algorithms, as well as use the new IPU technology. These algorithms will be applied to a range of applications ranging from machine learning for public health

Postdoctoral research position in neuro-symbolic integration and Deep relational learning

or more publications in a journal with IF. The postdoc is expected to advance the state of the art in neuro-symbolic machine learning (i.e., learning combining the principles of deep learning and logical

Postdoctoral research position in self-supervised learning in machine perception

, or related fields and a proven track record relevant to the topic - publications in top journals or conferences (e.g. computer vision (CVPR/ICCV/ECCV), machine learning (NeurIPS/ICML), or robotics (ICRA, IROS

Postdoctoral research position in Battery Modeling and State Estimation with Emphasis on State-of-Health and Prediction of Remaining Lifetime

modeling. State estimation will employ control engineering methods, such as Kalman filters, and may alternatively explore cutting-edge machine learning techniques. The development of models and estimation

Postdoctoral research position in advanced sensors with neural networks-based edge computing

or conferences. The ideal candidate will have good skills in microcontroller-based embedded system design and neural networks-based machine learning. Successful applicants will also have the opportunity to co

Hybridization of Constraint Programming for Scheduling Problems with Complex Criteria (postdoc)

CP solvers that can lead to better performance while sharing the objective value and no-goods among heuristics and CP workers. We expect to explore utilizing machine learning (ML) in search algorithms