Project description: The project aims at forecasting Solar Activity in the next 24/48 hours real-time solar images and data. Present lack of physical understanding of some key processes and some key observations limit our capability to provide accurate long-lead-time forecasting. The assumption of this project comes from the availability of large amount of data allowing to train an appropriate Artificial Neural Network (ANN) to classify the solar configurations that are most prone to release flares, CME or fast solar winds.
More information of the project: Dr. Dario Del Moro (dario.delmoro (a) roma2.infn.it)
Host: Università degli Studi di Roma Tor Vergata, Italy.
Secondment Host: University of Coimbra, Portugal.
Industrial Training: Hungarian Solar Physics Foundation, Gyula Bay Zoltán Solar Observatory, Gyula, Hungary (solar observations, 1 month), NEXT (3 months; industrial training).
Project specific requirements
Mobility rule: The applicant must not have resided or carried out their main activity (work, studies, etc.) in Italy for more than 12 months in the 3 years immediately before the call deadline (see details for the MSCA mobility rule here).
Preferred skills: Advanced Programming skills, especially with Python
Desired Skills: Good knowledge of widely used Astrophysical Python libraries (e.g. numpy, astropy, sunpy, ,..) and Machine Learning libraries (e.g. astro-ml, sklearn, …)
Host degree requirements: MSc (120 ECTS) or equivalent degree in Physics or Astronomy (and related fields). The candidate has to be officially admitted to the University of Rome Tor Vergata Doctoral Program.
Secondment host degree requirements: MSc or equivalent degree in Physics (and related fields)
Host language requirement: English
Secondment host language requirement: Portuguese or English
Job description is here
Application information is here
Apply from here.
Application deadline extended to 17th of June 2021.