12 machine-learning-phd research jobs at Delft University of Technology

Postdoc Position 3D Representation for Controlling Composite Fabrication Process

. Design and set up experiments. Deploy your algorithms on machines. Write well-documented code. Prepare demonstrators. Write scientific papers. Guide Master's and/or PhD students. Limited participation in

Postdoc Position 3D Representation for Controlling Composite Fabrication Process

. Design and set up experiments. Deploy your algorithms on machines. Write well-documented code. Prepare demonstrators. Write scientific papers. Guide Master's and/or PhD students. Limited participation in

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

-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human body dynamics and motion comfort. A strong academit track

Postdoc Data-driven Ultrasonic Welding of Thermoplastic Composites

related field. Proficiency with machine learning methods and corresponding software packages is a plus. Experience with ultrasonic welding is a plus. Fluency in English and proven academic writing skills

Postdoc Scaling Interconnects for Ultra High-Throughout Chip Assembly

. Challenges include the identification of suitable metallurgy, the reproducible fabrication of the interconnects, and modeling of their properties. The results of the project are expected to lead a new machine

Postdoc in Machine Learning-driven Modeling of Metallic Microstructures

Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable

Postdoc Multi-robot Mobile Manipulation in Human-Centered Environments

/ The candidate has (or will soon have) a PhD degree in Robotics, Controls, Machine Learning, or a related field. The candidate must be able to work at the intersection of several research domains, have a proven

Postdoc Reinforcement Learning and Control: An Algorithmic Approach

been well understood to this date, primarily due to the missing link between data analytics techniques in machine learning and the underlying physics of dynamical systems. The goal of this project is to

Postdoc Silico Modeling and Optimization of Soft Robotic Hearts

a PhD in aerospace engineering, applied mathematics, mechanical engineering or other related fields. Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and

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

. The data acquired 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