PhD in Mathematics at UniPD

Concorso ammissione Dottorato 33° ciclo

Per visualizzare la graduatoria inserire la password ricevuta nella mail di conferma di presentazione della domanda per il Corso di Dottorato.

Enter the password you received in the confirmation email when you submitted the application form in order to view the provisional rankings.

The PhD program in Mathematical Sciences at the University of Padova ("Corso di dottorato in Scienze Matematiche") is a highly advanced course of studies in the area of Mathematics and its Applications.

Students develop their studies according to their interests and under the direct supervision of one or more Faculty members. They are addressed to attend also International schools, meetings and conferences from the first year of studies, supported by additional funding.

Advanced courses are offered by the Department each year, taught by Faculty members or by well-known international specialists.

Students become part of a research group of the Department where they pursue a research project. They are immediately exposed to advanced research problems of current international interest in the area of Mathematics and its Applications and can become part of the International research groups connected with the Department.

Students receive a broad training to be prepared for a research job in public or private institutions, both academic and non-academic.

More details on the specific activities of the Programme at the web page:

Downloadable leaflet

Research fields within the PhD Program in Mathematical Sciences

Curriculum in Mathematics

  • Additive Cathegories, Representation Theory, Group Theory
  • Algebraic and Complex Analysis
  • Algebraic Geometry, Number Theory
  • Calculus of Variations, Geometric Measure Theory, Optimal Control and Differential Games
  • Celestial Mechanics and KAM Theory, Hamiltonian Systems
  • Foundations of Logic
  • Functional and Harmonic Analysis
  • Partial Differential Equations

Curriculum in Computational Mathematics

  • Mathematics for economics: differential games and quantitative finance
  • Numerical methods in Approximation, Image processing, Inverse Problems, Ordinary and Partial Differential Equations, Numerical linear algebra
  • Operation resarch: integer programming, combinatorial optimization and applications to traffic flow
  • Stochastic processes and applications to finance, physics and biology.