The PhD in Statistics and Mathematics for finance is a three-year graduate programme for students holding a degree equivalent to the Italian Laurea Magistrale (Master of Arts/Master of Science) and an interest in pursuing research in the field of Statistics or Mathematics for finance.
The main goals of this PhD programme are
- Training students for high-skilled careers in academia and in the private or public sector.
- Providing students with high level competencies in the core topics of the programme and developing their research skills.
- Introducing students to the practice of dissemination of scientific results such as writing and submitting papers to scientific journals, preparing seminars and conference talks.
- Encouraging scientific collaboration with high-level research institutions worldwide, through schemes for visiting scholars and outgoing students.
The PhD programme is structured in two distinct curricula (tracks): Statistics, and Mathematics for Finance. Most classes for the first year of the PhD are common to both curricula, and aim to provide solid mathematical, statistical and computational foundations to all students. From the second year onwards , the activities (classes, seminars, etc.) will depend on the curriculum chosen by the student. All classes and seminars are taught in English.
Each student is encouraged to apply for a period of study outside Italy at an international research institution during the second/third year (from six to eighteen months) . The third year and part of the second year are dedicated to the writing of the PhD dissertation. Each student is expected to publish part of the dissertation results in highly ranked scientific journals.
Job opportunities after the PhD
The skills acquired in this PhD program are demanded in academia, private and public research institutions, as well as leading companies in industry, finance and services. Among the 26 PhD candidates who graduated over the most recent years, approximately 50% are working in academia either in Italy or abroad, while the remaining 50% are employed in research branches of institutions or companies.
Scholarships are awarded based on merit. A student on a scholarship will receive for the three-year period approximately €1300,00 net per month.
S/he is expected to pay a contribution to tuition fees of around €400, 00 per year. If a student is granted permission to complete her/his PhD abroad, the scholarship is increased by 50%.
For the academic year 2015-16 the PhD program is expected to admit 6 students with a three-year scholarship and 2 students without scholarship.
For candidates holding, or expected to obtain before September 2015, an Italian Laurea Magistrale or Laurea Specialistica, the selection is based on the curriculum vitae, a written test and an interview.
For candidates holding, or expected to obtain before September 2015, a non-Italian Master of Arts/Sciences (or equivalent) degree, the selection is based on the curriculum vitae, two reference letters written by scholars in the appropriate field (Statistics or Mathematics for Finance), and a long distance interview (conference call) with the candidate.
English fluency is required to attend the programme, and will be assessed during the interview.
According to Italian regulations, the call for admission and scholarships will be issued during the Summer of 2015, and the admission procedure will be carried out in late September-early October 2015. Classes will begin in November 2015.
Candidates holding, or expected to obtain before September 2015, a non-Italian Master of Arts/Sciences (or equivalent) degree are encouraged to submit an expression of interest in the PhD programme as soon as possible, and preferably before June 15, 2015, by email to Dr Nicoletta Alghisi; email@example.com
The email message should state the curriculum (track) the candidate is applying for (Statistics or Mathematics for Finance, or both with a ranking of the two curricula), and the following attachments (pdf files): 1. Motivation statement (1 page); 2. Curriculum vitae, 3. Two reference letters written by scholars in the appropriate field (Statistics or Mathematics for Finance). Please include all attachments in a single zip archive.
Suitable candidates will be contacted shortly after receiving their expression of interest by the PhD Secretariat to arrange the long-distance interview.
Programme Coordinator : Prof. Giorgio Vittadini (firstname.lastname@example.org)
PhD administrative officer: Dr Nicoletta Alghisi (email@example.com)
Curriculum in Statistics: Prof. Andrea Ongaro (firstname.lastname@example.org)
Curriculum in Mathematics for Finance: Prof. Fabio Bellini (email@example.com)
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