25 composites Postdoctoral positions in Netherlands

Postdoc Data-driven Ultrasonic Welding of Thermoplastic Composites

Enable ultrasonic welding of composites through data-driven approaches We aim to advance the integration and joining of thermoplastics composites with a concerted effort of several researchers

Postdoc Fusion Bonding of Thermoplastic Composites

Enable ultrasonic welding of composites through advanced process monitoring We aim to advance the integration and joining of thermoplastics composites with a concerted effort of several researchers

Postdoc Composite Design and Manufacturing Using Applied Machine Learning Methods

analysis and design of aerospace composite structures. The candidate should have a background in Statistics, Uncertainty Quantification, Deep Learning or Bayesian machine learning methods, and is motivated

Postdoc Optical Metrology to Characterise Wave Propagation in Composite Materials

Challenge: To characterise wave propagation with optical techniques. Change: New application of shearography. Impact: Efficient real-time inspection of composite materials for zero-defect

Postdoc Researcher Damage Tolerance of Structural Bonded Joints

Job related to staff position within a Research Infrastructure? No Offer Description Adhesive bonding is an efficient structural joining technique that enables efficient lightweight composite airframe

Postdoc Researcher Damage Tolerance of Structural Bonded Joints

structural joining technique that enables efficient lightweight composite airframe design, a prerequisite for the transition towards more sustainable aviation. However, automation of the bonding process in

Postdoc position on battery cell design and manufacturing

production technology, energy, composite, laser-satellite communication and semiconductors) will work hard on various smart solutions. The postdoc position will focus on the cell design, development and

Postdoc Computational science for energy materials (X/F/M)

frameworks to create novel material compositions and structures. Contribute to research proposal development activities. Daily supervision of intern researchers and PhD candidates. Disseminate research

Postdoc position on Scalable Energy-Efficient Deep Learning

interdisciplinary composition. We are doing research at the forefront of advancements in machine learning, deep learning, and computer vision to advance scientific knowledge and societal welfare in a large spectrum

Postdoc Computational science for energy materials (X/F/M)

Generative AI in materials science for energy applications, which involves employing deep learning frameworks to create novel material compositions and structures. Contribute to research proposal development