
Scientific Researcher
2 weeks ago
This is a research opportunity to contribute to the development of advanced techniques for active region classifications and flare forecasts.
Job DescriptionThe successful applicant will be primarily involved in an EU H2020 Project, ARCAFF. The project combines over 26 years worth of solar observation with state-of-the-art deep learning techniques to enhance active region classifications and flare forecasts. These outputs will also be integrated into SolarMonitor.org.
Required Skills and Qualifications- Doctorate in solar physics, heliospheric physics, machine learning, or related discipline.
- Experience with Linux/Unix operating systems.
- Preferred qualifications:
- Experience with data analysis using the scientific Python stack (e.g., NumPy, Matplotlib, SciPy, Astropy, SunPy).
- Experience with the preparation and analysis of solar data, particularly EUV images (SDO/AIA, SOHO/EIT) and magnetograms (SDO/HMI, SOHO/MDI).
- Experience with the development and application of deep learning models to solar observations (e.g., PyTorch or TensorFlow).
- Continuous integration and development tools (e.g., GitLab, GitHub).
- This position is available for up to a maximum of 1 year (12 months) starting as soon as possible.
- The appointee will receive a salary commensurate with their experience.
- The Fellow will be subject to the general Irish public sector regulations as regards annual leave, sick leave, pension entitlements etc.
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