PhD in Data Science and Computation

Code Bologna
Academic Year 2018-2019
Subject area Mathematical Physical, Chemical and Astronomical Sciences
Cycle 34°
Coordinator Prof. Marco Roccetti. Prof. Marco Cavalli from 12 November 2018
Language English, Italian
Duration 4 years
Positions and scholarships 15 positions with scholarship
Call deadline May 14, 2018 at 01:00 PM (Expired)
Final ranking list Final ranking list available on Studenti Online
Enrollment period From Jul 20, 2018 to Jul 30, 2018
Doctoral programme start date Nov 01, 2018
Main Department
Department of Computer Science and Engineering
Associated locations
Politecnico di Milano
Fondazione Golinelli
Mobility abroad
Yes (3 months)
Curricula and 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
- Big Data, Smart Cities & Society

Job opportunities and potential areas of employment
This course builds upon fundamental data science disciplines to train candidates that should to become able to carry out academic and industrial research at a higher level of abstraction, with different final specializations in several different fields where data analysis and computation becomes prominent. The principal career opportunities include, but are not limited to: academic career; research activities for industries or institutions; management companies and organizations where data manipulation need an analytic as well scientific approach.
Admission Board

Surname Name Institution Role e-mail
Brambilla Marco Politecnico di Milano effettivo marco.brambilla@polimi.it
De Vivo Marco Istituto Italiano di Tecnologia effettivo marco.devivo@iit.it
Grandi Claudio INFN effettivo claudio.grandi@bo.infn.it
Guglielmi Alessandra Politecnico di Milano effettivo alessandra.guglielmi@polimi.it
Roccetti Marco Università di Bologna effettivo marco.roccetti@unibo.it
Agasisti Tommaso Politecnico di Milano supplente tommaso.agasisti@polimi.it
Cavalli Andrea Università di Bologna supplente andrea.cavalli@unibo.it
Ciarletta Pasquale Politecnico di Milano supplente pasquale.ciarletta@polimi.it
Zerbetto Francesco Università di Bologna supplente francesco.zerbetto@unibo.it
Zoccoli Antonio Università di Bologna supplente antonio.zoccoli@unibo.it
Learning outcomes
This course aims at being "special" in the sense that it should train people to become able to carry out academic and industrial research at a level of abstraction that builds atop each single scientific skill which lies at the basis of the field of "data science". Drawing on this, each ph.d. student should produce original and significant researches in terms of scientific publications and innovative applications, blending basic disciplines, such as for example: mathematics, statistics, computer science, computational sciences ..., and finally specializing in specific fields 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 physics; Big Data, Smart Cities & Society.
Activities to be carried out by Doctoral candidates
At the beginning of the course each student is supported by a supervisor, member of the Collegio dei Docenti (Faculty Board), who guides him throughout the Ph.D. 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 student in agreement with the supervisor and then submitted to the Board for approval). The learning plan foresees reaching 40 CFU (credits) by attending courses and passing the corresponding exams. By the 20th month (from the beginning of the course) the student must submit a written thesis proposal to the Board for approval. By the end of the 24th month the student must have completed the personalized learning plan and must report on the progress of the thesis draft. The admission (from the first) to the second is taken into consideration by the 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 is is taken into consideration by the Board (and approved in the positive case) if the candidate has obtained all the CFU and on the basis of a candidate's public presentation regarding his/her thesis proposal. The third and the fourth years are entirely devoted to the thesis work. he admission (from the third) to the fourth is is taken into consideration by the Board (and approved in the positive case) on the basis of a candidate's public presentation regarding the current status of his/her thesis. The Board finally approves the admission to the final exam, on the basis of the reviewers' comments. The Board may authorize a student 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.
Research training activities compliant with the Doctoral programme's learning outcomes
At the beginning of the course each student is supported by a supervisor, either a member of the Collegio dei Docenti (Faculty Board) or an external one upon the confirmation by means of one of the Members of the Collegio, who guides him throughout the Ph.D. 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 student in agreement with the supervisor and then submitted to the Board for approval). The learning plan foresees reaching 40 CFU (credits) by attending courses and passing the corresponding exams. By the 20th month (from the beginning of the course) the student must submit a written thesis proposal to the Board for approval. By the end of the 24th month the student 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. Finally, the thesis will be discussed and defended at the end of the Ph.D. course (end fourth year).
Internationalization features
This Ph. D Course starts off based on a joint collaboration of the University of Bologna with politecnico di Milano, the Golinelli Foundation, the Italian Institute of Technology, Cineca, the ISI Foundation and INFN. Even though they are all Italian, each of the aforementioned institutions has already achieved a renown international role in the upcoming field of scientific management and processing of data. Nonetheless, as a new Course we are going to discuss, design and establish a series of international initiatives that include the possibility to reach agreements with foreign Universities and Research Institutions to issue, for example: joint doctoral degrees, co­tutorships and student exchanges. These activities will be carried out also based on the contribution that each member of the Course Board will provide.
Expected research results and products
Original, relevant and significant research results are due by the end of the Course 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 physics; Big Data, Smart Cities & Society.
Doctoral programme Academic Board
Surname Name University/Institution Qualification
AGASISTI     TOMMASO   Politecnico di Milano Professore Associato
BARESI   LUCIANO   Politecnico di Milano Professore Ordinario
BENINI   LUCA   Università di Bologna Professore Ordinario
BONCHI  FRANCESCO  ISI FOUNDATION  Ricercatore Ente
BRAMBILLA     MARCO   Politecnico di Milano Professore Associato
CASADIO     RITA   Università di Bologna Professore Ordinario
CATTUTO  CIRO  ISI FOUNDATION  Ricercatore Ente
CAVALLI     ANDREA   Università di Bologna Professore Ordinario
CIARLETTA     PASQUALE   Politecnico di Milano Professore Associato
DE VIVO  MARCO  IIT  Ricercatore Ente
DI SABATINO     SILVANA   Università di Bologna Professore Associato
GEORGIEV     ILIYAN VLADIMIROV     Università di Bologna Professore Associato
GRANDI  CLAUDIO  INFN Ricercatore Ente
GUGLIELMI     ALESSANDRA   Politecnico di Milano Professore Ordinario
ORSENIGO     CARLOTTA   Politecnico di Milano Ricercatore confermato
RESTELLI     MARCELLO   Politecnico di Milano Ricercatore confermato
ROCCETTI     MARCO   Università di Bologna Professore Ordinario
SARTORI     LAURA   Università di Bologna Professore Associato
SCIUTO   DONATELLA   Politecnico di Milano Professore Ordinario
SERI   MARCO   Università di Bologna Professore Ordinario
ZERBETTO     FRANCESCO   Università di Bologna Professore Ordinario
ZOCCOLI     ANTONIO   Università di Bologna Professore Ordinario