National Centre for Nuclear Research (NCBJ) opens competition for two master scholarships in the project SONATA BIS 2018/30/E/ST9/00082 (founded by National Science Centre): „ASTROdust: a complete census of dust attenuation in galaxies based on the analysis of millions of galaxies observed by Herschel”.
The main objectives of the scholarship are related to the AstroDust project for which the main goal is to statistically investigate the attenuation of dust in galaxies and its dependence on the types of galaxies in different space ages. For the analysis, it will use a unique sample of one million galaxies observed in the infrared by the Herschel satellite. In the project, we are planning to construct the correct attenuation curves for different types of galaxies and to examine how they have evolved over the past 10 billion years. This will lead to a re-evaluation of the basic physical properties of star-forming galaxies. Moreover, the statistically huge sample of galaxies will allow using machine learning algorithms to classify different types of infrared galaxies according to their dust properties.
The students will be collaborating with an international team of astrophysicists and statisticians. They are going to participate in the local and international conferences as well as in the dedicated schools. It is possible to stay for the training period in France during the doctoral studies.
The main objectives of the scholarship are related to the AstroDust project for which the main goal is to statistically investigate the attenuation of dust in galaxies and its dependence on the types of galaxies in different space ages. For the analysis, it will use a unique sample of one million galaxies observed in the infrared by the Herschel satellite. In the project, we are planning to construct the correct attenuation curves for different types of galaxies and to examine how they have evolved over the past 10 billion years. This will lead to a re-evaluation of the basic physical properties of star-forming galaxies. Moreover, the statistically huge sample of galaxies will allow using machine learning algorithms to classify different types of infrared galaxies according to their dust properties.
The students will be collaborating with an international team of astrophysicists and statisticians. They are going to participate in the local and international conferences as well as in the dedicated schools. It is possible to stay for the training period in France during the doctoral studies.