PhD in Data Science and Computation

Academic Year 2022-2023
Subject area Mathematical Physical, Chemical and Astronomical Sciences
Cycle 38
Coordinator Prof. Andrea Cavalli
Language English, Italian
Duration 4 years

Application deadline: Jun 09, 2022 at 11:59 PM (Expired)

Call for Applications

Positions: More information in the PhD Programme Table

Doctoral programme start date: Nov 01, 2022

Main Department
Department of Computer Science and Engineering - DISI
Associated Departments
Department of Chemistry "Giacomo Ciamician" - CHIM
Department of Pharmacy and Biotechnology - FaBiT
Department of Physics and Astronomy "Augusto Righi" - DIFA
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" - DEI
Department of Economics - DSE
Department of Medical and Surgical Sciences - DIMEC
Department of Sociology and Business Law - SDE
Associated locations (agreements)
Istituto Italiano di Tecnologia - IIT
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 professional people 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 students 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
Bartolini Andrea Università di Bologna Member
Bartolini Ilaria Università di Bologna Member
Bonacorsi Daniele Università di Bologna Member
Cavalli Andrea Università di Bologna Member
Masetti Matteo Università di Bologna Member
De Vivo Marco Fondazione IIT Substitute
Decherchi Sergio Fondazione IIT Substitute
Grandi Claudio INFN Substitute
Musiani Francesco Università di Bologna Substitute
Learning outcomes

This course aims to train students 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 Ph.D. student 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 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 PhD Faculty 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 PhD Faculty (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 Faculty (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 Faculty (and approved in the positive case)  on the basis of a candidate's public presentation regarding the current status of his/her thesis. The PhD Faculty 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

The course is the product of the collaboration of 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 Faculty of professors 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 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 chemistry & physics; Big Data, Smart Cities & Society.