| Academic Year | 2021-2022 |
|---|---|
| Subject area | Legal, Politological, Economic and Statistical Sciences |
| Cycle | 37 |
| Coordinator | Prof. Monica Chiogna |
| Language | English, Italian |
| Duration | 3 years |
| Positions | 7 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 Statistical Sciences "Paolo Fortunati" - STAT
- Research topics
- Statistical methods
- Economic statistics and econometrics
- Biostatistics
- Demography and social statistics.
- Job opportunities and potential areas of employment
- The PhDs are mainly occupied in research organizations both public (Universities and research centers) and private (pharmaceutical companies, CRO, societies of applied research) but also in public administrations, both national and international, and in industry.
- Admission Board
-
Surname Name University/Institution Role email Barban Nicola Università di Bologna Member n.barban@unibo.it Chiogna Monica Università di Bologna Member monica.chiogna2@unibo.it Luati Alessandra Università di Bologna Member alessandra.luati@unibo.it Cagnone Silvia Università di Bologna Substitute silvia.cagnone@unibo.it Scalone Francesco Università di Bologna Substitute francesco.scalone@unibo.it Viroli Cinzia Università di Bologna Substitute cinzia.viroli@unibo.it
- Learning outcomes
- The PhD programme in Statistics pursues the objective of training highly skilled/experienced/qualified statisticians able to apply the most modern statistical techniques to scientific research. The PhD programme is intended to provide knowledge of statistics at a higher level and a specialization in one of the following areas: methodology; bio-statistics; demography and social sciences; statistics for economics and econometrics. The specific training goals consist of: deepening of the basic elements of Mathematics, Statistics and Probability; acquisition of specific technical skills related to the PhD programme; development of autonomous ability of theoretical research in the various fields of application. The PhD programme is designed for candidates wishing to work at University level or in any organization with Research Units.
- Activities to be carried out by Doctoral candidates
- During the first year the PhD candidates attend courses and seminars purposely organized for them. Specifically, the first three months are devoted to the study of mathematics and probability: the PhD candidates take courses of Algebra, Analysis, Probability and Stochastic processes. After that, they follow a long course of Statistics which is divided in modules taught by the members of the Academic board. From the second year, the PhD candidates start their research work for the thesis. The tools they use in this context are typical of any methodological or applied research in statistics: deep literature research, problem specification, data collection, analytical development of methods and models, data analysis, computer programming. In particular, according to the different research areas, they will collect data from experiments (including clinical trials), build statistical models, simulate their performances, specify and estimate economic and econometric models. The goal is to give the PhD candidates a sound mathematical background, a mastery of advanced methods in probability and statistics, the ability to organize research in an independent way coherently with the peculiarities of the different research domains. By the end of their PhD programme the PhD candidates will be able to organize research projects and do research work in economic areas where the use of statistics plays a relevant role.
- Research training activities compliant with the Doctoral programme's learning outcomes
- The PhD programme in Statistics develops in 3 years and training activities require attending courses with a final assessment, the participation in Statistics Seminars and the preparation of a thesis with original contributions in Statistics. All PhD activities are consistent with the aims of the PhD programme. During the first year, PhD candidates follow advance courses in probability theory, stochastic processes, statistical inference, bayesian methods, asymptotic theory, special functions, multivariate analysis, graphical models, time series analysis and econometrics. They also follow the statistics seminars, which include meeting with the speakers and meetings aimed at building European projects and increasing the international aspects of their research. The thesis is the most difficult and challenging experience of the PhD programme. It should show the candidate's ability to develop an original and valuable research topic. It may be written in Italian or English and the candidate can write it while visiting another Italian or Foreign research institution. The study programme is individually tailored, although the courses of the first year are compulsory. The Academic board assigns a supervisor to each candidate. Other researchers from the Department of Statistical Sciences or other Departments and research institutions can be joint supervisors. During the third year PhD candidates will complete their thesis and present reports of their progress in a series of meetings with the Academic board.
- Internationalization features
- The PhD programme in Statistics has signed:
- a framework agreement with the University of Groeningen aimed at delivering a double PhD degree;
- a cotutelle agreement with Macquarie University in Sydney and CMCRC (Capital Markets Cooperative Research Centre) for the sponsorship of PhD positions (one has already been active since the 33° cycle of the course).
The PhD programme has scientific relations with several Universities all over the world. The PhD candidates are encouraged to spend a research period abroad while working on their thesis. Every other week the Department of Statistical Sciences hosts seminars from foreign professors; they use to meet the PhD candidates and discuss their research advances. The members of the Department coordinate many Erasmus exchanges; professors from the partner Universities often visit the Department and teach short courses within the PhD programme. Although it is not compulsory for our PhD candidates to spend a period abroad, almost all of the PhD candidates spend some months (generally six months) in European or Extra-Europe prestigious Universities. The PhD courses are delivered in English, thus promoting the admission of foreign PhD candidates. - Expected research results and products
- The main result of the PhD candidate's research is the thesis which is developed during the second and third year. The main results are published in journals or books, and are presented at national and international specialistic conferences. Often software development goes side by side with theoretical development. The produced software is made available to the research community.
- Doctoral programme Academic Board
Name Surname University/Institution Qualification Nicola Barban Università di Bologna Professore Ordinario Cristina Bernini Università di Bologna Professore Ordinario Silvia Cagnone Università di Bologna Professore Associato Monica Chiogna Università di Bologna Professore Ordinario Daniela Cocchi Università di Bologna Professore Ordinario Maria Ferrante Università di Bologna Professore Ordinario Marzia Freo Università di Bologna Professore Associato Confermato Giuliano Galimberti Università di Bologna Professore Ordinario Simone Giannerini Università di Bologna Professore Associato Andrea Guizzardi Università di Bologna Professore Associato Confermato Christian Martin Hennig Università di Bologna Professore Ordinario Alessandra Luati Università di Bologna Professore Ordinario Monia Lupparelli Università degli Studi di Firenze Professore Associato Mario Mazzocchi Università di Bologna Professore Ordinario Rossella Miglio Università di Bologna Professore Associato Confermato Angela Montanari Università di Bologna Professore Ordinario Sabrina Mulinacci Università di Bologna Professore Associato Confermato Silvia Pacei Università di Bologna Professore Associato Confermato Pietro Rigo Università di Bologna Professore Ordinario Silvia Romagnoli Università di Bologna Professore Associato Francesco Scalone Università di Bologna Professore Associato Gabriele Soffritti Università di Bologna Professore Associato Confermato Carlo Trivisano Università di Bologna Professore Ordinario Cinzia Viroli Università di Bologna Professore Ordinario Maroussa Zagoraiou Università di Bologna Professore Associato
See also
- AMS phD thesis (in Italian) Published