Astronomy ML Internship: Anomaly Discovery in Light Curves

EU Satellite Centre (SatCen); Villanueva de la Cañada; Vor Ort; EUR 8.900 - 13.000; Vollzeit

Zusammenfassung

European Space Agency (ESA) in Spain seeks an intern to work on astronomical data analysis. You will adapt AnomalyMatch for spectra and light curves, validate results on real datasets, and explore combining observations from different instruments.

Strong Python programming skills, knowledge of machine learning and neural networks, and experience with PyTorch are required. English or French language proficiency is expected.

Qualifikationen

• You must be a university student, preferably in your final or second-to-last year of university course at Master's level.
• Proven knowledge of Python, ML, and neural networks.
• Experience with PyTorch or a similar deep-learning framework.

Aufgaben

• Adapt AnomalyMatch to spectra and/or light curves.
• Validate the approach on real astronomical datasets.
• Explore combining measurements from different telescopes or instruments.

Kenntnisse

Python programming

Machine learning

Neural networks

Ausbildung

Master's student

Tools

PyTorch

Jobbeschreibung

European Space Agency (ESA) in Spain seeks an intern to work on astronomical data analysis. You will adapt AnomalyMatch for spectra and light curves, validate results on real datasets, and explore combining observations from different instruments.

Strong Python programming skills, knowledge of machine learning and neural networks, and experience with PyTorch are required. English or French language proficiency is expected.