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Field
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learning, allowing rapid but rigorous system architecture definition of a launch vehicle within the MBSE collaborative environment. You will also carry out research in the field of Uncertainty Quantification
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ability to quantify and model these processes remains limited, contributing to uncertainties in global carbon sink estimates. You will analyze data and samples from past and upcoming expeditions to evaluate
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and data-driven approaches to improve model performance and interpretability, incorporating uncertainty quantification across a range of scenarios. Other responsibilities include publishing findings
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software development practices. Experience with uncertainty quantification and statistical analysis Skill in written and oral communications. Experience interacting with scientific staff and research groups
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. Experience with uncertainty quantification and multi-modal deep learning. Experience with distributed training. Skill in written and oral communications. Experience interacting with scientific staff and
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geographic patterns of dominant water level components over seasonal-to-interannual time scales. Develop methods for quantifying uncertainties in total water level estimations, considering coastal morphology
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Associate This search is temporarily on hold while funding uncertainties are resolved. We anticipate resuming the search soon and encourage candidates to submit their applications for consideration
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another relevant natural or engineering science Good knowledge of uncertainty quantification (including Bayesian techniques), random sampling, data evaluation methodologies, and game theory Knowledge
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via the European Space Agency’s Kelvins platform (https://kelvins.esa.int) and ooptimize platform (https://optimiseoptimize.esa.int); explore at least one area among: Uncertainty propagation using high
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methods and their implementation, High-Performance Computing experience, methods of Uncertainty Quantification Offer – What you can look forward to: A dynamic, international team from various disciplines