| Academic Year | 2021-2022 |
|---|---|
| Subject area | Mathematical Physical, Chemical and Astronomical Sciences |
| Cycle | 37 |
| Coordinator | Prof. Andrea Cavalli |
| Language | English, Italian |
| Duration | 4 years |
| Positions | 13 positions. More information in the PhD Programme Table |
| Application deadline | May 21, 2021 at 12:00 PM (Expired) |
| Enrolment period | From Jul 05, 2021 to Jul 15, 2021 |
| Doctoral programme start date | Nov 01, 2021 |
- Operating centre
- Bologna
- Main Department
-
Department of Computer Science and Engineering - DISI
- Associated Departments
-
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" - DEIDepartment of Chemistry "Giacomo Ciamician" - CHIMDepartment of Physics and Astronomy "Augusto Righi" - DIFADepartment of Pharmacy and Biotechnology - FaBiTDepartment of Political and Social Sciences - SPSDepartment of Medical and Surgical Sciences - DIMECDepartment of Economics - DSE
- Associated locations (agreements)
- Fondazione Istituto Italiano di Tecnologia - IIT
- Mobility abroad
- 3 months
- Research topics
- Quantitative Finance and Economics
- Materials and Industry 4.0
- Genomics and bioinformatics
- Personalised medicine
- Hardware and Infrastructure
- Machine learning and deep learning
- Computational physics
- Computational chemistry
- Big Data, Smart Cities & Society
- Job opportunities and potential areas of employment
- The course aims at creating professionals with expertise in data science and/or computation. The major job opportunities and potential areas of employment are: academic and industrial research; application scientists in economy, financing, and medicine; industry 4.0 and health 4.0 where the digital revolution is currently taking place. The PhD candidates will also acquire expertise in programming, code parallelisation and modernisation, opening up job opportunities also in the field of high-performance computing and parallel calculations.
- Admission Board
-
Surname Name University/Institution Role email Bonacorsi Daniele Università di Bologna Member daniele.bonacorsi@unibo.it Cavalli Andrea Università di Bologna Member andrea.cavalli@unibo.it Conti Francesco Università di Bologna Member f.conti@unibo.it Decherchi Sergio Fondazione Istituto Italiano di Tecnologia Member sergio.decherchi@iit.it Levrini Olivia Università di Bologna Member olivia.levrini2@unibo.it Grandi Claudio INFN Substitute claudio.grandi@bo.infn.it Masetti Matteo Università di Bologna Substitute matteo.masetti4@unibo.it Musiani Francesco Università di Bologna Substitute francesco.musiani@unibo.it Sartori Laura Università di Bologna Substitute l.sartori@unibo.it The following shall take part in the work of the Examination Board as expert members: Daniele Bonacorsi (daniele.bonacorsi@unibo.it) substitute Vincenzo Vagnoni (vincenzo.vagnoni@bo.infn.it) for Istituto Nazionale di Fisica Nucleare (INFN); Paolo Uva (Istituto Giannina Gaslini, paolo uva@gaslini.com).
- Learning outcomes
- This course aims to train PhD candidates who will be ultimately capable of carrying out academic and industrial research activities, both basic and applied, in the fields of computer sciences, data analytics, and high-performance computing. These skills may be applied to several research domains, including economy, medicine, industry 4.0, physics, chemistry, etc. In this respect, each PhD candidate during the course is expected to produce original and significant results in terms of scientific publications and/or innovative applications, starting from expertise, which is mandatory for fully understanding such approaches and their applications. Therefore, training will be in the following basic fields: mathematics, statistics, computer science, data analysis, computational physics and chemistry, bioinformatics, etc.).
- Activities to be carried out by Doctoral candidates
- At the beginning of the course each PhD candidate is supported by a supervisor, member of the Collegio dei Docenti (Academic Board), who guides him throughout the PhD studies. The first 24 months are devoted to the integration and deepening of the student expertise, according to a personalized learning plan (drawn up by the PhD candidate in agreement with the supervisor and then submitted to the PhD Academic Board for approval). The learning plan foresees reaching 40 CFU (credits) by attending courses and passing the corresponding exams. The admission (from the first) to the second is taken into consideration by the PhD Academic Board (and approved in the positive case) on the basis of the fact that the candidate has obtained an adequate number of CFU. The admission (from the second) to the third year is taken into consideration by the Academic Board (and approved in the positive case) if the candidate has obtained all the CFU and on the basis of the candidate's public presentation regarding his/her thesis proposal. The third and the fourth years are entirely devoted to the thesis work. The admission (from the third) to the fourth is taken into consideration by the Faculty (and approved in the positive case) on the basis of a candidate's public presentation regarding the current status of his/her thesis.
- Research training activities compliant with the Doctoral programme's learning outcomes
- By the 20th month (from the beginning of the course) the PhD candidate must submit a written thesis proposal to the Board for approval. By the end of the 24th month the PhD candidate must have completed the personalized learning plan and must report on the progress of the thesis draft. A further assessment of thesis is scheduled by the end of the third year. The PhD Academic Board finally approves the admission to the final exam, on the basis of the reviewers' comments. The Board may authorize a PhD candidate to spend a period in Italy at universities, research centers or companies. It is mandatory for the student to spend a period of at least 3 months abroad, during the 3rd/4th year of the course. Finally, the thesis will be discussed and defended at the end of the PhD course (end fourth year).
- Internationalization features
- The PhD programme is the product of the collaboration between international institutes and universities in the field of data science, such as Alma Mater Studiorum University of Bologna, Cineca, the Italian Institute of Technology and INFN. Having undergone several changes over the years, the international characteristics of the course are still being designed and developed and will emerge according to the ability of each member of the Academic Board to activate and finalize agreements for the exchange of students, both incoming and outgoing, with universities and international research institutes of high scientific and academic level. We also plan to release joint degrees in collaboration with foreign universities. The remarkable academic and scientific profile of all the members of the Faculty at an international level is evident through the indexes that measure their scientific production.
- Expected research results and products
- Original, relevant and significant research results are due by the end of the PhD programme that can take different forms including for example: scientific publications, system and software design, realization and production, and any kind of innovative applications specializing on a broad gamut of topics, such as for example: Quantitative Finance and Economics; Materials and Industry 4.0; Genomics and bioinformatics; Personalised medicine; Hardware and Infrastructure; Machine learning and deep learning; Computational chemistry & physics; Big Data, Smart Cities & Society.
- Doctoral programme Academic Board
Name Surname University/Institution Qualification Armando Bazzani Università di Bologna Professore Associato Confermato Andrea Bartolini Università di Bologna Ricercatore a tempo determinato Daniele Bonacorsi Università di Bologna Professore Ordinario Emidio Capriotti Università di Bologna Professore Associato Andrea Cavalli Università di Bologna Professore Ordinario Marco De Vivo Istituto Italiano di Tecnologia Primo Ricercatore Sergio Decherchi Istituto Italiano di Tecnologia Ricercatore Ente Claudio Grandi INFN Primo Ricercatore Olivia Levrini Università di Bologna Professore Associato Matteo Masetti Università di Bologna Professore Associato Francesco Musiani Università di Bologna Professore Associato Mirco Musolesi Università di Bologna Professore Ordinario Stefano Panzeri Istituto Italiano di Tecnologia Primo Ricercatore Giovanni Prarolo Università di Bologna Professore Associato Marco Roccetti Università di Bologna Professore Ordinario Laura Sartori Università di Bologna Professore Associato Marco Seri Università di Bologna Professore Ordinario Fabio Vitali Università di Bologna Professore Ordinario Francesco Zerbetto Università di Bologna Professore Ordinario Antonio Zoccoli Università di Bologna Professore Ordinario
See also
- AMS phD thesis (in Italian) Published