PhD programmes - Science and Technology

Details about funded positions - 40th Cycle - Curriculum 3

(3A) Theoretical and computational methods in Celestial Mechanics, Astrodynamics and Space Sciences (CUP E53C24000960001)

Funding institution: Istituto Nazionale di Alta Matematica Francesco Severi - INdAM
Doctoral site: A venue with INdAM-affiliated lecturers to be agreed with the manager
Contact: Prof. Giovanni Federico Gronchi [giovanni.federico.gronchi [at] unipi.it]
Funds: Own funds
Mobility abroad: compulsory, minimum 6 months​​​​​​​
Periods in companies/research centres/public administrations: optional

This grant is devoted to the study of mathematical problems arising in the field of dynamics of celestial bodies, taking into account applications of mathematics to astronomy, space navigation and more generally to space science. The techniques employed to deal with these problems can belong to different branches of mathematics, e.g. general theory of dynamical systems, perturbation theory, calculus of variations, continuum mechanics, computational algebra, and numerical analysis.
 

(3B) Internal processes and structure of Mercury (CUP E66E24000200005)

Funding institution:  “Gabriele d’Annunzio” University
Doctoral site: “Gabriele d’Annunzio” University​​​​​​​
Contact: Prof. Giuseppe Mitri [giuseppe.mitri [at] unich.it]
Funds: NRRP, M4C1 inv. 4.1, NRRP research
Mobility abroad: compulsory, minimum 6 months​​​​​​​
Periods in companies/research centres/public administrations: optional

 Theoretical studies and/or geological analysis focusing on the internal processes and structure of Mercury. The research aims to support the upcoming ESA BepiColombo mission. Successful applicants for this scholarship are expected to possess a robust background in planetary science, geophysics, physics, geology, or a closely related field, while demonstrating a high level of proficiency in numerical modelling, planetary data analysis techniques, and/or geological analysis.

(3C) Analysis of planetary radar data with artificial intelligence methodologies (F83C23000070005)

Funding institution: University of Trento​​​​​​​
Doctoral site: University of Trento​​​​​​​
Contact: Prof. Lorenzo Bruzzone [lorenzo.bruzzone [at] unitn.it]
Funds: Project Funds
Mobility abroad: compulsory, minimum 6 months
Periods in companies/research centres/public administrations: optional

The JUpiter ICy moons Explorer (JUICE) is the first mission directed into the outer part of the Solar system completely developed by the European Space Agency). It was launched in April 2023 toward the Jupiter system (see https://sci.esa.int/web/juice for more details on the mission). Some of the most challenging science objectives of this mission are related to the analysis of sub-surface processes in the Jupiter icy moons Europa, Ganymede and Callisto. These are of crucial importance for the possible detection of water in the subsurface that would support the hypothesis on the presence of life.
The research activities of this grant are related to the Radar for Icy Moon Exploration (RIME), which is the instrument on JUICE that will explore the subsurface of the icy moons. The activity will be focused on the development of methodologies for the processing and automatic analysis of RIME data. Special emphasis will be given to methodologies that exploit the most recent developments in the framework of machine learning and artificial intelligence. The methodologies will be developed to apply also to other radar data from different missions.
The research will be developed at the University of Trento, Department of Information Engineering and Computer Science, Remote Sensing Laboratory (https://rslab.disi.unitn.it/).