10 phd-machine-learning research jobs at Delft University of Technology (TU Delft)

Postdoc Data-driven Prediction of Human Body Motion in Automated Vehicles

following aspects will help you stand out: Knowledge of data-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human

Postdoc Silico modeling and optimization of soft robotic hearts

. Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and uncertainty quantification), experimental device testing, cardiovascular (patho)physiology, and strong and

Postdoc Risk-aware Autonomous Navigation

, multi-robot learning, multi-modal prediction models, or other related topics to this project. You will work closely together with two PhD students, one focusing on motion planning and one focusing

Postdoc Multi-robot Mobile Manipulation in Human-Centered Environments

of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control

Postdoc Scaling Interconnects for Ultra High-Throughout Chip Assembly

opportunity to learn a lot and contribute to the next generation of machines that will improve the assembly speed and reduce the environmental impact of the production of hundreds of billions of future chips

Postdoc Distributionally Robust Control

, model-based and data-driven fault detection and identification, moving horizon estimation, convex optimization, randomized algorithms, stochastic programming, machine learning. In addition, excellent

Postdoc Design of Multi-Modal Pixelated Capacitive Sensor Chip for E-nose

with your chip(s) will be analyzed with machine-learning algorithms. You will collaborate with researchers and companies of various disciplines like chemistry, embedded systems, software, signal

Postdoc Artificial Intelligence for the Dynamics of 2D Materials

Requirements You should have the following qualifications: A strong background in machine learning. Knowledge of Bayesian optimization, Gaussian processes is a plus. Background in mechanics is highly desired. A

Postdoc Artificial Intelligence for the Dynamics of 2D Materials

Requirements You should have the following qualifications: A strong background in machine learning. Knowledge of Bayesian optimization, Gaussian processes is a plus. Background in mechanics is highly desired. A

Postdoc Data-driven prediction of human body motion in automated vehicles

, system identification, machine learning, control theory. Prior experimental experience on human body dynamics and motion comfort. A strong academit track record with publications in the relevant topics