Functionality prediction in food science WUR (Wageningen University & Research) in Netherlands

3-year postdoc opportunity on surface subsidence above the Groningen gas field area, using InSAR observations and data assimilation. The project is based at Utrecht University in the Netherlands, with close collaboration with Delft University of Technology . It is funded through the DeepNL program of the Dutch Research Council and focuses on developing physics-based models to quantify the physical processes driving subsidence. The research combines Earth Science , Geology , Physics , Statistics ...

Postdoc Fellowship opportunity in particle physics , data science , and AI at the Technical University of Munich (TUM), shared by Professor Lukas Heinrich , Professor for Data Science in Physics. The fellowship is part of the ORIGINS Data Science Lab and allows researchers in particle physics to pursue an independent data-science / AI-related research vision with a significant fraction of time in the context of the Excellence Cluster. This is a postdoctoral opening, not a PhD or master’s call. T...

PhD opportunity in Food Science and Technology at STLO (Science et Technologie du Lait et de l'Oeuf) in Rennes, France . The project focuses on understanding and modeling browning reactions during drying and storage of dairy powders , spanning scales from droplet to semi-industrial . This is a strong fit for candidates interested in Maillard reaction , dairy technology , drying processes , kinetic modeling , and experimental work in food/process engineering. The position is 36 months long and is...

Dr. Rosita Kokotanekova’s research group is inviting applications for two fully funded PhD positions in Observational Astrophysics within the newly established CLIC (Cometary Life Cycle) project at the Institute of Astronomy and National Astronomical Observatory, Bulgarian Academy of Sciences in Sofia, Bulgaria. The project studies the physical evolution of cometary nuclei from formation to their gradual end. The research will combine data from large surveys, especially LSST , with targeted obse...

This PhD project at the University of Southampton explores the science behind impact sounds in cricket, golf, baseball, and tennis, aiming to reveal how these acoustic signals relate to the physics and performance quality of each strike. By integrating advanced acoustic analysis, physics-based modelling, and machine learning, the research seeks to quantify the information hidden in the sounds athletes use to judge shot quality and ball speed. The project will investigate how acoustic signatures ...