Transdisciplinary Programme in Space data science and technology
 
The Programme “Space data science and technology” (SpaDaST) aims at giving Ph.D students in Physics and Engineering a shared background in space sciences and technology, with specific emphasis on data acquisition, processing and instruments, as well as on other fields of relevance for scientific space missions.
The SpaDaST programme leverages on significant research activities, carried out in Trento in several fields of space science and technology, mostly under the umbrella of the Trento Space Center.
These activities contributed to gain expertise in a diverse set of space applications: science data analysis, development of instrumentation for cutting edge missions in multi-messenger astrophysics, planetology and Earth observation.
 
The Program is open to students of the Doctoral (Ph.D.) Schools/Programmes of Trento University in:
- Physics
- Information and Communication Technologies (ICT)
 
The SpaDaST programme student is required to acquire six extra credits, in addition to the credits requested by the PhD programme in the primary discipline:
- At least 3 credits must be earned by taking a fundamental course listed in the Manifesto degli Studi
- Additional 3 credits must be earned either by courses from PhD or Master programmes in Physics or Computer science, of relevance for space sciences; or international schools of relevance for space sciences 
 
At the end of each year, the SpaDaST programme student presents his/her work in front of a commission
appointed by the panel.
 
MANDATORY COURSES a.y. 2019-20
Space based observation techniques and methods – proff. Vitale, Battiston, Bruzzone (6 crediti) - timetable will be published as soon as possible
 
Information about other courses offered by the PhD Physics is available at this page.
 
Panel 
- Bovolo Francesca (FBK)
- Bruzzone Lorenzo (DISI) – President
- Iuppa Roberto (DF) – Secretary 
- Picco Gian Pietro (DISI)
- Vitale Stefano (DF)
 
 

PhD students enrolled in the Transdisciplinary programme

a.y. 2018-2019

PhD student

Tutor

Cotutor

Dal Bosco Davide

prof.ssa Rita Dolesi

dott.ssa Francesca Bovolo

Terragni Jacopo

prof. Antonio Miotello

prof. Roberto Battiston

Muratore Martina

prof. Stefano Vitale

prof. Lorenzo Bruzzone

Sbalchiero Elisa (ICT)

prof. Lorenzo Bruzzone

prof. Stefano Vitale

Paterna Stefano (ICT)

prof. Lorenzo Bruzzone

dott. Roberto Iuppa

 

a.y. 2019-2020

PhD student

Tutor

Cotutor

Battocchio Pietro

prof. Antonio Miotello

prof. Roberto Battiston

Sala Lorenzo

prof. Stefano Vitale

prof. Lorenzo Bruzzone

Singh Abhishek (ICT)

prof. Lorenzo Bruzzone

prof. Stefano Vitale

Chen Yuxing (ICT)

prof. Lorenzo Bruzzone

prof. Stefano Vitale