| 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 | 15 positions with scholarship |
| Application deadline | May 14, 2018 at 01:00 PM (Expired) |
| Final ranking list | Final ranking list available on Studenti Online |
| Enrolment period | From Jul 20, 2018 to Jul 30, 2018 |
| Doctoral programme start date | Nov 01, 2018 |
- Main Department
-
Department of Computer Science and Engineering - DISI
- Associated locations
- Politecnico di Milano
Fondazione Golinelli - Mobility abroad
- Yes (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
- 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
See also
- AMS phD thesis (in Italian) Published
Alumni