Transdisciplinary Programmes | Doctoral Program - Information Engineering and Computer Science
 

Transdisciplinary Programmes

The first-year doctoral Students of IECS Doctoral School have a possibility to enrol on transdisciplinary programmes promoting cross-disciplinary research.

A transdisciplinary programme is a training path that complements the PhD programme (primary programme) with an educational and research component on an additional discipline (secondary programme). The secondary programme integrates the primary one without changing regulations and constraints. It is possible to achieve the primary title without obtaining the secondary one but not the other way around.

At the end of the programme, the PhD student will receive the title of PhD in Information Communication Technology (for students enrolled until cycle 36) or PhD in Information Engineering and Computer Science (for students enrolled from cycle 37 onward) and Expertus/Experta in the discipline of the secondary programme.

PhD students can apply for the programmes within 2 months from the enrolment on the PhD course.

Available transdisciplinary programmes:

Transdisciplinary programme in Space Data Science and Technology (SpaDaST)

The Programme “Space data science and technology” (SpaDaST) aims at giving doctoral 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 SpaDaST programme student is required to acquire 6 extra credits, in addition to the 12 credits requested by the primary PhD programme by taking the fundamental course “Space based observation techniques and methods” – prof. Vitale, Battiston, Bruzzone (6 credits).

At the end of each year, the SpaDaST programme student presents his/her work in front of a commission appointed by the panel.

For details, visit https://www.unitn.it/drphys/en/429/transdisciplinary-programme-space-data-science-and-technology

Transdisciplinary programme in Quantum Science and Technologies (QST)

The doctoral student enrolled in this programme will receive a state-of-the-art education in the basic ideas of quantum science, in the main material platforms used in experiments, and in the mathematical concepts used for their description, as well as in the information and computation science concepts that aim at exploiting QST for applications. She/he will be expected to carry out cutting-edge research on subjects of interest of the Q@TN consortium, possibly in collaboration with our international project partners.

The QST programme student is required to acquire extra credits, in addition to the 12 credits requested by the primary PhD programme by taking: 

  • the fundamental course Quantum Machine learning - prof. Pastorello (6 credits)
  • any of the other fundamental courses:
    • Quantum Sensing - prof. Quaranta (3 credits);
    • Quantum Computing - prof. Hauke (6 credits).
       

For details, visit https://www.unitn.it/drphys/en/421/transdisciplinary-program-quantum-science-and-technologies