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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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please use the following link: www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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environment that encourages professional growth, mentoring, and a healthy work–life balance. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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Today, companies across a wide range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in diverse domains—such as manufacturing, rental platforms, and production systems—where...
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qualities You hold either PhD in deep learning techniques and an interest in climate science, or a PhD in Meteorology or Climate Science having clear experience with deep learning techniques. You possess
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Technology and Production Automation, m.cao@rug.nl We are looking for candidates who meet the following requirements A PhD degree in Control Engineering, Applied Mathematics, environmental Psychology or a
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knowledge. Within the Faculty of Science and Engineering (FSE), the Bernoulli Institute conducts research combining theoretical as well as practical aspects of three disciplines, namely Mathematics