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Position: PhD candidate Advancing Space Weather Predictability
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: Space weather, similar to weather on Earth, has a significant effect on infrastructure in space and on Earth. For example, solar storms may obstruct radio communication on Earth and space. Severe space weather events may even lead to failures of the electric grid, causing significant economic damage and posing a threat to societal stability. As weather forecasts on Earth, space weather forecasts may help to mitigate and prepare for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance
Requirements: A MSc. degree or equivalent in Computer Science. You should have some knowledge and experience in some of the following topics: Space weather models and tools; Machine learning, in particular, time series forecasting; Excellent programming skills
   
Text: PhD candidate Advancing Space Weather Predictability Space weather, similar to weather on Earth, has a significant effect on infrastructure in space and on Earth. For example, solar storms may obstruct radio communication on Earth and space. Severe space weather events may even lead to failures of the electric grid, causing significant economic damage and posing a threat to societal stability. As weather forecasts on Earth, space weather forecasts may help to mitigate and prepare for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance A MSc. degree or equivalent in Computer Science. You should have some knowledge and experience in some of the following topics: Space weather models and tools; Machine learning, in particular, time series forecasting; Excellent programming skills
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