PhD Training Project
The Teaching Board approves the training project for each PhD student.
The PhD student’s training project consists of:
- developing an individual research program referring to a specific disciplinary field among those on which the Course is focused, under the guidance of the Supervisor;
- attending teaching activities at doctoral level complementary to the research not lower than 20 ECTS. The recognition of the ECTS, which can be acquired by attending courses and other educational activities, is carried out by the Teaching Board which authorizes the attendance and assesses the results. Educational activities, which can also be organized in common between more than one PhD course, also include training activities aimed at supporting research activities and providing tools to outline the professional identity of future research doctors.
The PhD course in Mathematical and Physical Sciences sets out the acquisition of
At least 12 ECTS
- with attendance (and passing possible final tests) of specialist courses chosen among those scheduled annually by the Teaching Board
- with attendance (and passing possible final tests) of specialist courses organized by other universities / research institutes / companies. The Teaching Board assesses the suitability of these activities with respect to the student’s training and research objectives and establishes the number of credits to be awarded.
At least 2 ECTS
- with attendance (and passing possible final tests) of Cross-cutting activities courses / seminars, chosen among those scheduled annually by the Research Services Area in the Cognitive and interpersonal, Career development, Communication, Mobility, and Research areas. The courses planned for the current year, with indication of the credits assigned, are available at link https://www.uniud.it/it/ricerca/lavorare-nella-ricerca/dottorato-ricerca/dottorati-ricerca/formazione_disc_trasv#autotoc-item-autotoc-1
- with attendance (and passing possible final tests) of courses / seminars / conferences organized by the University of Udine. The Teaching Board assesses the suitability of these activities with respect to the student’s training and research objectives and establishes the number of credits to be awarded
- with attendance (and passing possible final tests) of Cross-cutting activities courses organized by other universities / research entities / companies. The Teaching Board assesses the suitability of these activities with respect to the student’s training and research objectives and establishes the number of credits to be awarded
The individual research program ends with the writing of the thesis. The thesis, written in English, must contribute to the advancement of knowledge or methodologies in the chosen field of investigation.
The Teaching Board annually evaluates the training and research activities carried out by each PhD student for the admission in the following year and to the thesis assessment stage.
Courses
2022-2023
Basic courses:
- Reverse Mathematics (MAT/01), contact: Alberto Marcone
- An introduction to Sobolev spaces with applications in Calculus of Variations and Critical Point Theory (online) (MAT/05), contact: Roberta Musina
- Radiation-matter interaction and radiation damage (FIS/01), contact: Marina Cobal, Simone Monzani
- Role of the laboratory and didactic experiments of electromagnetism and optics (FIS/08), contact: Marisa Michelini, Lorenzo Santi
- Classic and Quantum Simulations of nano- and bio-systems (FIS/03, FIS/07), contact: Federico Fogolari, Paolo Giannozzi
- Mathematical finance (SECS-S/06), contact: Andrea Molent
- Relative periodicity in locomotion models (MAT/07), contact: Paolo Gidoni
Advanced courses:
- A crash course on computational mathematics for medical imaging (MAT/08), contact: Rossana Vermiglio
- Loops of prescribed curvature and magnetic geodesics: the variational approach (MAT/05), contact: Roberta Musina, Duccio Papini
- Metodi per la didattica della fisica (FIS/08), contact: Marisa Michelini
- Research Based Educational Design (FIS/08), contact: Marisa Michelini
- Applied Bayesian Statistics (SECS-S/01), contact: Michela Battauz,Valentina Mameli
2021-2022
Basic courses:
- Advanced Statistics (SECS-S/01), contact: Michela Battauz, Valentina Mameli
- From combinatorics to metamathematics (MAT/01), contact: Alberto Marcone
- Interazione radiazione-materia e danni da radiazione (FIS/01), contact: Marina Cobal
- Memory, past, delay: mathematics and more (MAT/08), contact: Dimitri Breda
- Metodi matematici dellʼintegrabilità (MAT/03), contact: Stefano Urbinati
- Numerical solution of stochastic differential equations (MAT/08), contact: Dimitri Breda
- Tidbits of Cosmic Physics (FIS/01), contact: Barbara De Lotto
- Transcendence, Diophantine Approximation, and Local Positivity (MAT/03), contact: Stefano Urbinati
Advanced courses:
- Infinite games and (generic) large cardinals (MAT/01), contact: Vincenzo Dimonte
- Model Order Reduction in Computational Fluid Dynamics: Focus on Stabilisation and Applications (MAT/08), contact: Rossana Vermiglio
- Quantizzazione per deformazioni e teorema di Kotsevich (MAT/03), contact: Stefano Urbinati