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Mathematics and its Applications

01.

General information

PhD School - Politecnico di Milano
PhD Program: Mathematics and its Applications
Course start: 12/09/2026
Location of the PhD Program: Milano Leonardo
Promoter Department: Dipartimento di Matematica

Scientific Disciplinary Sectors

MATH-01/B – Mathematics Education and History of Mathematics; MATH-02/A – Algebra; MATH-02/B – Geometry; MATH-03/A – Mathematical Analysis; MATH-03/B – Probability and Mathematical Statistics; MATH-04/A – Mathematical Physics; MATH-05/A – Numerical Analysis; STAT-01/A – Statistics; STAT-04/A – Mathematical Methods of Economy, Finance and Actuarial Sciences.

PhD School Website, PhD Program Website

02.

Objectives

The development of advanced technologies in science and engineering brings an increasing demand of advanced mathematical theories and methods, which in turn fosters the demand for education and training of skilled mathematicians in pure and applied research areas.

The main scope of the PhD course in “Mathematics and its Applications” is to train high-level researchers in all fields of mathematics, mathematical finance and statistics, providing them with a broad and robust background to successfully compete in a rapidly evolving landscape and competitive job market.

A notable feature of students enrolled in the PhD program in “Mathematics and its Applications” is their early and intensive exposure to high-level mathematical research, along with their active involvement in all DMAT activities. From the very beginning of their PhD journey, candidates take part in advanced research projects, both within academia and in collaboration with industry partners, external research centers and public institutions. This provides them with a unique opportunity to contribute meaningfully and to engage with all key aspects of research, including teamwork, strategic planning, and risk management. In addition, candidates could also be involved in other DMAT activities such as teaching, outreach, and science communication.

One of the distinctive skills developed during the PhD experience is the ability to transfer knowledge effectively, adapting it to different contexts, audiences, and communication occasions. This skill enables PhD graduates to work effectively in teams and disseminate their research results both within their specific community and to broader, more diverse audiences.

The PhD program aims to help candidates communicate technical information, both orally and in writing, tailored to academic or non-academic recipients. This goal is supported by courses offered by the PhD School, including Technical Communication classes. Additionally, candidates participate in activities promoting experiential learning (“learning by doing”), the typical learning method of the PhD journey.

03.

Professional Opportunities

The PhD program in "Mathematics and its Applications" offers graduates a comprehensive and rigorous education, preparing them for academic, industrial, and institutional careers. The ability to integrate theoretical insights with practical problem-solving equips them to address complex challenges and drive innovation in established and emerging fields.

Graduates can pursue academic careers at prestigious universities and research institutions, both in Italy and internationally. In the private sector, PhD graduates with a solid mathematical background are in high demand within research and development departments across various industries, including industrial engineering, energy, aerospace, telecommunications, health technologies, pharmaceuticals, advanced manufacturing, and information technology.

The technology sector thus serves as a prominent area of employment for graduates of the PhD program in "Mathematics and its Applications”, particularly in roles related to artificial intelligence (AI), scientific computing, computational learning, and data science, where advanced mathematical expertise is crucial for developing interpretable, reliable, and efficient approaches for complex systems and analyse complex scenarios.

Moreover, graduates of the PhD program in "Mathematics and its Applications” are well-equipped for roles within financial and insurance institutions, applying quantitative techniques to risk and portfolio optimization, trading, and regulatory analysis.

They are highly qualified also for research and advisory positions in public agencies, governmental bodies, and policy-oriented research centres, contributing to evidence-based decision-making, policy modelling, and strategic planning.

04.

Graduate Faculty

NAME AFFILIATION GSD
Prof. Correggi Michele Dipartimento di Matematica MATH-04/A – Fisica Matematica
Prof.ssa Antonietti Paola Francesca Dipartimento di Matematica MATH-05/A – Analisi Numerica
Prof. Barucci Emilio Dipartimento di Matematica STAT-04/A – Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie
Prof. Bassetti Federico Dipartimento di Matematica MATH-03/B – Probabilità e statistica matematica
Prof. Ciarletta Pasquale Dipartimento di Matematica MATH-04/A – Fisica Matematica
Prof. Colombo Fabrizio Dipartimento di Matematica MATH-03/A – Analisi Matematica
Prof.ssa Confortola Fulvia Dipartimento di Matematica MATH-03/B – Probabilità e Statistica Matematica
Prof.ssa Conti Monica Dipartimento di Matematica MATH-03/A – Analisi Matematica
Prof. Fagnola Franco Dipartimento di Matematica MATH-03/B – Probabilità e Statistica Matematica
Prof. Falconi Marco Dipartimento di Matematica MATH-04/A – Fisica Matematica
Prof. Fermi Davide Dipartimento di Matematica MATH-04/A – Fisica Matematica
Prof. Formaggia Luca Dipartimento di Matematica MATH-05/A – Analisi Numerica
Prof. Grillo Gabriele Dipartimento di Matematica MATH-03/A – Analisi Matematica
Prof.ssa Guglielmi Alessandra Dipartimento di Matematica STAT-01/A – Statistica
Prof. Lella Paolo Dipartimento di Matematica MATH-02/B – Geometria
Prof. Marazzina Daniele Dipartimento di Matematica STAT-04/A – Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie
Prof. Parolini Nicola Dipartimento di Matematica MATH-05/A – Analisi Numerica
Prof. Perotto Simona Dipartimento di Matematica MATH-05/A – Analisi Numerica
Prof. Punzo Fabio Dipartimento di Matematica MATH-03/A – Analisi Matematica
Prof. Rodaro Emanuele Dipartimento di Matematica MATH-02/A – Algebra
Prof.ssa Sabadini Irene Maria Dipartimento di Matematica MATH-02/B – Geometria
Prof.ssa Sangalli Laura Dipartimento di Matematica STAT-01/A – Statistica
Prof. Sacco Riccardo Dipartimento di Matematica MATH-05/A – Analisi Numerica
Prof. Verani Marco Dipartimento di Matematica MATH-05/A – Analisi Numerica
Prof. Verzini Gianmaria Dipartimento di Matematica MATH-03/A – Analisi Matematica
Prof. Volzone Bruno Dipartimento di Matematica MATH-03/A – Analisi Matematica
05.

PhD Courses

GSD Name of the course Professor Term Language Credits
MATH-03/A (BA) An Introduction to Analysis on Graphs Punzo, Biagi, Meglioli Spring English 5
STAT-01/A (BA) Data Science: a Tale of Two Cultures Vantini Spring English 5
MATH-03/B (BA) Life in the Gaussian World: Probability, Inference, and Learning Bassetti Fall English 5
MATH-05/A (BA) Randomized Numerical Linear Algebra with Application in Machine Learning and Engineering Ciaramella, Miglio Winter English 5
MATH-05/A (SC) Advanced Discretizations Tools for Multiphysics Problems in Geoscience Mazzieri, Botti Winter English 5
MATH-03/A (SC) Microlocal Analysis and Local Theory for Schrödinger Equations Giuliani Winter English 5
MATH-04/A (SC) Mathematics of Quantum Spin Systems Lucia Spring English 5
Mathematics and its Applications I Correggi 5
Mathematics and its Applications II Correggi 5
06.

Call for applications

Calls for doctoral positions are published throughout the year according to the calendar below. The calls offer both general and topic-specific scholarships. Topical scholarships are linked to specific research topics already defined by the department, while general scholarships involve a broader topic, which will be defined together with the PhD program coordinator.

Timeline 42° cycle (2026/2027)
Type Publication Start of activities
1° Call May 28 - July 1 September
2° Call July 30 - September 18 November
3° Call December 14 - January 14 February
4° Call March 15 - April 15 May

Further information is available on the website of the PhD school.