Training activity
Students are enrolled into a theoretical CV or an experimental CV, depending on the main research activity they will pursue during their graduate studies.
A total of 180 credits (ECTS) are required to earn the Ph.D. in Physics, 120 of which are awarded for research related to the preparation of the dissertation and 60 of which must be earned through didactic activities.
The didactic credits are awarded to the students by a decision of the Scientific Board on the proposal of the "Credits Committee".
The activities through which students can earn didactic credits and the corresponding credit criteria are listed in this document.
As the detailed in the above-linked document, it is possible for PhD students to perform tutoring activities which are subsequently awarded with ECTS credits. When concluding this type of activities, the PhD student must issue a formal declaration (template here) produced by the teacher of the course for which the tutoring activities were conducted.
In particular, at least 20 ECTS of the required 60 ECTS must be earned through the activities listed in (a) (b) (c) below:
a) Attending courses specifically set up within the Doctoral School in Physics of the University of Turin and passing the corresponding examination. For these courses, four hours are equivalent to 1 ECTS.
Doctoral students in the theoretical programme must take at least 5 of the courses marked with the letter T on the "Courses offered" page.
b) Attending courses of the Master's Degree in Physics and the Master's Degree in Physics of Complex Systems at the University of Turin and passing the corresponding examination. For these courses, eight hours are equivalent to 1 ECTS.
c) Attending courses at doctoral level, in specialization schools, in masters or Master's degree courses outside the Doctoral school and/or the Master's degree courses in Physics at the University of Turin, also at other universities, and passing the corresponding examination. These courses will be evaluated and considered for ECTS on a case-by-case basis.
At the end of the second year, students will give a seminar on their research activity to the Faculty of the School, in order to show that their research activity is sufficiently advanced.
The PhD Thesis can be written in English or Italian. Note that it is expected that the research work for the thesis should lead to publications on refereed journals. A Thesis without publications will not be in general considered acceptable.
Courses evaluation form: after finalizing (attendance + final exam) any of the courses offered by our program, each PhD student must provide a feedback on the course by filling a course evaluation form (38th cycle link, 39th cycle link, 40th cycle link). The filling of the form is a mandatory, i.e. no ECTS will be awared to students who have not filled the form.
Students can refer to the members of the Teaching Committee (Profs. Billò, Costa, Masera and Mignone) in case they need assistance in the definition of the courses for each academic year.
The students who intend to pursue a theoretical curriculum are specifically required to follow 5 mandatory courses (among those denoted by the letter “T”): for further information the students can refer to prof. Billò.
!!work in progress!!
Scientific courses:
- Advanced Nuclear Physics (T)
- Big Data Science and Machine Learning
- Calorimetry in particle physics experiments
- Chemo-dynamical evolution of the Milky Way
- Cherenkov detectors for particle and astroparticle physics
- Conformal Field Theories and Holography (T)
- Dark Matter, Neutrinos and the Physics of the Early Universe (T)
- Dark matter tensions on the scale of galaxies
- Data Analysis Techniques
- Effective field theory techniques for New Physics searches (T)
- Experimental techniques for neutron detection
- Galactic cosmic rays, gamma rays and detection of dark matter: an overview of the theory and tools to study these subjects (T)
- Introduction to classical and quantum systems with gauge symmetries and constraints (T)
- Introduction to FPGA Programming Using Xilinx Vivado and VHDL
- Introduction to non-perturbative solutions in field theory (T)
- Introduction to on-shell amplitudes (T)
- Introduction to Parallel Programming with MPI
- Introduction to soft-collinear effective field theory (T)
- Introduction to turbulence
- Minor bodies in the Solar System and their interaction with the Earth
- Quantum communication
- Search and characterization for extrasolar planets
- Soft skills: how to deliver effective presentations
- Statistical field theory on the lattice (T)
Soft-skills / cross-disciplinary courses:
- Academic English (for Physics PhD degree)-3 CFU
- Complementary Training / Formazione complementare [these training activities are evaluated according to (c) in this document]
Scientific courses:
- Advanced Nuclear Physics (T)
- Big Data Science and Machine Learning
- Calorimetry in particle physics experiments
- Chemo-dynamical evolution of the Milky Way
- Cherenkov detectors for particle and astroparticle physics
- Dark Matter and the physics of the early universe (T)
- Dark Matter tensions on the scale of galaxies
- Data Analysis Techniques
- Effective field theory techniques for New Physics searches (T)
- Experiment design in particle physics
- Hands on fitting and statistical tools for data analysis
- Introduction to non-perturbative solutions in field theory (T)
- Introduction to on-shell amplitudes (T)
- Introduction to soft-collinear effective field theory (T)
- Introduction to Supersymmetry (T)
- Introduction to turbulence
- Ion Beam Based Techniques for Materials Science
- Minor bodies in the Solar System and their interaction with the Earth
- Physics education: methodologies and laboratory technologies
- Neutron Imaging and Neutron Diffraction
- Numerical methods for PDE
- Quantum communication
- Search and Characterization for Extrasolar Planets
Soft-skills / cross-disciplinary courses:
- Academic English (for Physics PhD degree)-3 CFU
- Raman Week @ UNITO
- Complementary Training / Formazione complementare [these training activities are evaluated according to (c) in this document]
- Complementary Research Training Catalogue (pdf file)
Scientific courses:
- Advanced Nuclear Physics (T)
- Big Data Science and Machine Learning
- Chemo-dynamical evolution of the Milky Way
- Cherenkov detectors for particle and astroparticle physics
- Dark Matter and Neutrino Physics (T)
- Dark Matter tensions on the scale of galaxies
- Effective field theory techniques for New Physics searches (T)
- Experimental techniques for neutron detection
- Introduction to constrained systems(T)
- Introduction to FPGA Programming Using Xilinx Vivado and VHDL
- Introduction to non-perturbative solutions in field theory (T)
- Introduction to Parallel Programming with MPI
- Introduction to soft-collinear effective field theory (T)
- Introduction to turbulence
- Ion Beam Based Techniques for Materials Science
- Minor bodies in the Solar System and their interaction with the Earth
- Physics education: methodologies and laboratory technologies
- Quantum communication
- Search and Characterization for Extrasolar Planets
Soft-skills / cross-disciplinary courses:
- Academic English (for Physics PhD degree)
- Complementary Training / Formazione complementare (→"COURSES A.Y. 2022-2023" tab)
- Complementary Research Training Catalogue (pdf file)
- Bayesan inference
- Big Data Science and Machine Learning
- Chemo-dynamical evolution of the Milky Way
- Dark Matter physics (T)
- Dark Matter tensions on the scale of galaxies
- Data Analysis Techniques
- Effective field theory techniques for New Physics searches (T)
- Experiment design in particle physics
- Hands on fitting and statistical tools for data analysis
- Introduction to non-perturbative solutions in field theory (T)
- Introduction to on-shell amplitudes (T)
- Introduction to Supersymmetry (T)
- Introduction to the large-N limit (T)
- Introduction to the Physics of the Quark-Gluon Plasma (T)
- Introduction to turbulence
- Neutron Imaging and Neutron Diffraction
- Numerical methods for PDE
- Quantum communication
- Search and characterization for extrasolar planets