27 postdoc-machine-learning positions at Delft University of Technology

Postdoc in Machine Learning-driven Modeling of Metallic Microstructures

the microscopic to the macroscopic level. As a postdoc, you will develop a physics-informed machine learning framework to address those micromechanics modelling bottlenecks and enable high-throughput investigation

Postdoc Composite Design and Manufacturing Using Applied Machine Learning Methods

. The research group hosting this candidate includes experts in simulation and machine learning methods, but it is currently lacking proficiency in Statistics and uncertainty quantification. The postdoc will be

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

scheme to support tenure trackers. The Postdoc will be hosted by the Intelligent Vehicles Section. The section consists of three groups (Machine Perception, Human Factors and Dynamics & Control

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

Researcher on human-in-the-loop system design for automated driving

participants, machine learning. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (based on scale 10: €3.226,00 - €5.090,00). Depending on your knowledge and

Postdoc Data- and Physics-based Identification of Soft Tissue Mechanics

Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics

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 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

Assistant / Associate Professor Opto-Mechanical System Design

, attract funding and build your team of PhD students, whom you will supervise to completion. You will also teach and coach our talented undergraduate and graduate students, while developing your own

PhD Position Fuel Optimisation with Explainable ML

shall focus on state-of-the-art machine learning techniques, that can find patterns within vast amounts of data, to refine the estimation of flight trajectories and fuel consumption. Additionally, you