Physics, Astrophysics and Applied Physics

Doctoral programme (PhD)
A.Y. 2025/2026
Study area
Science and Technology
PhD Coordinator
The doctoral program in Physics, Astrophysics and Applied Physics (http://phd.fisica.unimi.it/) provides advanced research training in a wide range of areas of experimental, theoretical and applied physics, including astrophysics, cosmology, astroparticle physics, condensed matter, quantum optics, nuclear physics, particle physics, plasma physics, theoretical physics, nanotechnology, quantum Information, accelerator physics, biophysics, electronics, environmental physics and medical physics. Its diversity reflects the landscape of the physics research groups at Milan University, within which the students are embedded. The goal is to achieve the ability to independently perform original research, and to produce original research results, documented in a thesis and usually published in international journals. The training to achieve this goal includes graduate-level courses offered by the PhD school, participation in international training schools, student workshops and, most importantly, day-to-day research activities, under the supervision of a thesis advisor, usually within a research group or a project. The official language of the program is English.
Classi di laurea magistrale - Classes of master's degrees:
LM-6 Biologia,
LM-8 Biotecnologie industriali,
LM-9 Biotecnologie mediche, veterinarie e farmaceutiche,
LM-11 Scienze per la conservazione dei beni culturali,
LM-13 Farmacia e Farmacia industriale,
LM-17 Fisica,
LM-18 Informatica,
LM-20 Ingegneria aerospaziale e astronautica,
LM-21 Ingegneria biomedica,
LM-22 Ingegneria chimica,
LM-25 Ingegneria dell'automazione,
LM-26 Ingegneria della sicurezza,
LM-27 Ingegneria delle telecomunicazioni,
LM-28 Ingegneria elettrica,
LM-29 Ingegneria elettronica,
LM-30 Ingegneria energetica e nucleare,
LM-32 Ingegneria informatica,
LM-33 Ingegneria meccanica,
LM-40 Matematica,
LM-44 Modellistica matematico-fisica per l'ingegneria,
LM-53 Scienza e ingegneria dei materiali,
LM-54 Scienze chimiche,
LM-58 Scienze dell'universo,
LM-66 Sicurezza informatica,
LM-71 Scienze e tecnologie della chimica industriale,
LM-74 Scienze e tecnologie geologiche,
LM-75 Scienze e tecnologie per l'ambiente e il territorio,
LM-79 Scienze geofisiche,
LM-82 Scienze statistiche,
LM-91 Tecniche e metodi per la società dell'informazione.
LM-6 Biologia,
LM-8 Biotecnologie industriali,
LM-9 Biotecnologie mediche, veterinarie e farmaceutiche,
LM-11 Scienze per la conservazione dei beni culturali,
LM-13 Farmacia e Farmacia industriale,
LM-17 Fisica,
LM-18 Informatica,
LM-20 Ingegneria aerospaziale e astronautica,
LM-21 Ingegneria biomedica,
LM-22 Ingegneria chimica,
LM-25 Ingegneria dell'automazione,
LM-26 Ingegneria della sicurezza,
LM-27 Ingegneria delle telecomunicazioni,
LM-28 Ingegneria elettrica,
LM-29 Ingegneria elettronica,
LM-30 Ingegneria energetica e nucleare,
LM-32 Ingegneria informatica,
LM-33 Ingegneria meccanica,
LM-40 Matematica,
LM-44 Modellistica matematico-fisica per l'ingegneria,
LM-53 Scienza e ingegneria dei materiali,
LM-54 Scienze chimiche,
LM-58 Scienze dell'universo,
LM-66 Sicurezza informatica,
LM-71 Scienze e tecnologie della chimica industriale,
LM-74 Scienze e tecnologie geologiche,
LM-75 Scienze e tecnologie per l'ambiente e il territorio,
LM-79 Scienze geofisiche,
LM-82 Scienze statistiche,
LM-91 Tecniche e metodi per la società dell'informazione.
Dipartimento di Fisica "Aldo Pontremoli" - Via Celoria, 16 - Milano
- Main offices
Dipartimento di Fisica "Aldo Pontremoli" - Via Celoria, 16 - Milano - Degree course coordinator: Mennella Aniello
[email protected] - Degree course website
http://phd.fisica.unimi.it/
Title | Professor(s) |
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Ground-based observations of polarized microwave emissions for galactic foregrounds removal from Cosmic Microwave Background data.
Curriculum: 1. Astrophysics |
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Measuring the Cosmic Microwave Background with bolometric interferometry.
Curriculum: 1. Astrophysics |
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Advanced instruments for Cosmic Microwave Background polarization measurements.
Curriculum: 1. Astrophysics |
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Statistical analysis and simulations of the large-scale structure of the Universe, with application to the DESI survey; development of alternative statistical methods, including the application of Machine Learning techniques.
Requirements: M.sc. level knowledge of observational and theoretical Cosmology. Basic programming (python/c,c++/fortran). Curriculum: 1. Astrophysics |
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Optimisation of the spectroscopic observations and the statistics of large-scale structure from the data of the Euclid satellite.
Requirements: M.sc. level knowledge of observational and theoretical Cosmology. Basic programming (python/c,c++/fortran). Curriculum: 1. Astrophysics |
B. Granett (INAF)
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Numerical simulations of large-scale structure in the presence of dark energy and massive neutrinos. Study of galaxy clustering, galxy weak lensing, cosmic voids, Sunyaev-Zel'dovich effect, gravitational lensing of temperature maps and polarization of the cosmic microwave background through ray-tracing techniques.
Requirements: M.sc. level knowledge of Theoretical and Observational Cosmology. Basics of neutrino physics. Basics of programming (python,c,c++,fortran) Curriculum: 1. Astrophysics |
C. Carbone (INAF)
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Cosmological applications of gravitational waves (GW): study of the effects of large-scale structure on GW signals, cross-correlation with galaxy surveys and maps of the cosmic microwave background, in the framework of the Einstein telescope, LISA and Euclid collaborations.
Requirements: M.sc. level knowledge of General Relativity, and Cosmology. Basics of programming (python/c,c++/fortran) Curriculum: 1. Astrophysics |
C. Carbone (INAF)
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Inference analysis of cosmological parameters, also via machine learning techniques, applied to the combination of the Euclid spectroscopic and photometric data.
Requirements: M.sc. Level knowledge of Cosmology. Basic programming and deep learning techniques Curriculum: 1. Astrophysics |
C. Carbone (INAF)
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Mass diagnostics in galaxies and clusters of galaxies and dynamics of stellar systems.
Curriculum: 1. Astrophysics |
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Gravitational lenses.
Curriculum: 1. Astrophysics |
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Cosmological probes of Dark Matter through the observations of the ESA Euclid satellite: signatures in weak gravitational lensing and galaxy clustering.
Requirements: M.sc. level knowledge of General Relativity, Cosmology and Quantum Field Theory. Basics of programming (python/c,c++/fortran) Curriculum: 1. Astrophysics |
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Black hole growth.
Curriculum: 1. Astrophysics |
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Protostellar disc dynamics and planet formation.
Curriculum: 1. Astrophysics |
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Observations and modelling of the large-cale structure of the Universe, in particular from the Euclid data: estimate of cosmological parameters and neutrino mass, tests of General Relativity and primordial Non-Gaussianity.
Requirements: M.sc. level knowledge of General Relativity and Cosmology. Basics of programming (python/c,c++/fortran) Curriculum: 1. Astrophysics |
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Perturbative forward modeling and simulations based inference for the large scale structure of the Universe using automatic differentiation
Requirements: M.sc. level knowledge of General Relativity and Cosmology. Basics of programming (python). Basics of Machine Learning Curriculum: 1. Astrophysics |
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LSPE/STRIP: measuring the CMB polarization from the Teide Observatory, Tenerife.
Curriculum: 1. Astrophysics |
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LiteBIRD space mission for testing cosmic inflation: optical and RF characterization of the Medium-High Frequency Telescope.
Curriculum: 1. Astrophysics |
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Optimization and calibration of a Compact Antenna Test Range for high-precision characterization of millimeter-wave telescopes
Curriculum: 1. Astrophysics |
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Molecular clouds and star-formation.
Curriculum: 1. Astrophysics |
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Unveiling the conditions of planet formation by analysis of molecular line emission at mm and IR wavelengths to constrain protoplanetary disk dynamics and chemical content
Requirements: M.sc. level knowledge of observational and theoretical astrophysics. Basic programming (python,c). Curriculum: 1. Astrophysics |
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Searching for new-born planets at optical, IR and mm wavelengths with ALMA, JWST and VLT while they interact with their natal environment
Requirements: M.sc. level knowledge of observational and theoretical astrophysics. Basic programming (python,c). Curriculum: 1. Astrophysics |
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Numerical simulations of reflector antennas for radio astronomy
Requirements: Good knowledge of electromagnetism Curriculum: 1. Astrophysics |
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Theory of superfluids in neutron stars, both micorscopic and hydrodynamical. Models and observations of pulsar glitches.
Requirements: Basic knowledge of structure of matter, quantum mechanics and hydrodynamics. Basics of programming (python, c, c++, fortran) Curriculum: 1. Astrophysics |
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Theoretical models of continuous gravitational wave sources: deformations and oscillations of neutron stars and multimessenger emission
Requirements: M.sc knowledge of General Relativity. Basics of programming (python, c, c++, fortran) Curriculum: 1. Astrophysics |
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Electron Microscopy (EM), in scanning mode (SEM), in transmission mode (TEM), and in scanning and transmission mode (STEM) and its related, compositional spectroscopies (EDS and EELS) for the advanced characterization of materials, even 3D, and upon external biasing or heating stimulus (in situ EM).
Curriculum: 2. Condensed matter physics |
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Synthesis and characterization by advanced transmission elecron microscopy TEM/STEM of low dimensional chalcohalides with non-toxic metals, and with photothermal, electronic and piezoelectric properties
Requirements: Basic experience in experimental condensed matter physics. Basic experience in transmission electron microscopy is not require but considered as qualifying. Curriculum: 2. Condensed matter physics |
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Quantum computation over continuous-variable systems.
Curriculum: 2. Condensed matter physics |
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Quantum machine learning.
Curriculum: 2. Condensed matter physics |
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Thermodynamic properties of perovskites with particular attention to the structural phase transitions, effects induced by crystalline inhomogeneities, and characterization of the elusive incommensurate states. Complementarily, the study of the out-of-equilibrium electronic vibrational properties will be carried out at the experimental stations of the infrastructure NFFA in Trieste (www.Trieste.NFFA.eu)and in the new MiMAG Laboratory (NRRP NFFA-DI, www.NFFA-DI.it) ) at the Dipartimento di Fisica).
Requirements: Condensed matter physics/structure of matter/ Quantum Physics Curriculum: 2. Condensed matter physics |
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Study of the structural properties of the crystalline Argyrodites' class, A8BC6 (A = Cu, Ag, B = Si, Ge, and Sn, C = S, Se, and Te), of great interest due to their excellent ionic conduction properties and very low thermal conductivity. Complementarily, the study of the out-of-equilibrium electronic vibrational properties will be carried out at the experimental stations of the infrastructure NFFA in Trieste (www.Trieste.NFFA.eu)and in the new MiMAG Laboratory (NRRP NFFA-DI, www.NFFA-DI.it) ) at the Dipartimento di Fisica).
Requirements: Condensed matter physics/structure of matter/ Quantum Physics Curriculum: 2. Condensed matter physics |
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Investigation of systems and interfaces at the nanoscale by Scanning Probe Microscopy.
Curriculum: 2. Condensed matter physics |
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Investigation of biomechanics in cellular and biomolecular systems by Scanning Probe Microscopy.
Curriculum: 2. Condensed matter physics |
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Theory of quantum measurements and quantum metrology.
Curriculum: 2. Condensed matter physics |
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Non- Equilibrium fluctuations in complex fluids (NESTEX ASI space project)
Curriculum: 2. Condensed matter physics |
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Quantum theory of superconductivity in high-pressure/high-temperature materials.
Requirements: Basic nowledge of quantum mechanics, many-body systems and structure of matter Curriculum: 2. Condensed matter physics |
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Atomistic simulations of complex polymer materials subject to mechanical deformation under extreme conditions.
Requirements: Basic knowledge of numerical simulations, statistical physics, continuum mechanics and structure of matter Curriculum: 2. Condensed matter physics |
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Wavefront diagnostics of radiation with orbital angular momentum and applications to high-density information transfer.
Curriculum: 2. Condensed matter physics |
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Non-conventional computing with optical devices.
Curriculum: 2. Condensed matter physics |
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Open quantum systems theory.
Curriculum: 2. Condensed matter physics |
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Study of the electronic properties of noble metals dispersed in ceramic matrices for electrochemical applications by photoemission spectroscopy.
Requirements: Basic knowledge of condensed matter physics Curriculum: 2. Condensed matter physics |
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Simulation of complex systems, ultra-cold atoms and strongly correlated quantum systems.
Curriculum: 2. Condensed matter physics |
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Applications of Computational Intelligence and Machine Learning techniques in Physics.
Curriculum: 2. Condensed matter physics |
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Ultrafast photocathodes with minimum thermal emittance for the next generation coherent X-Ray sources.
Curriculum: 2. Condensed matter physics |
D.Sertore (INFN)
C.Pagani (INFN)
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Efficient simulation of quantum systems and open quantum systems.
Curriculum: 2. Condensed matter physics |
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Routing in quantum computers by artificial intelligence methods.
Requirements: Linear algebra Curriculum: 2. Condensed matter physics |
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Quantum machine learning algorithms for the simulation of solid state systems.
Requirements: Linear algebra Curriculum: 2. Condensed matter physics |
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Artificial intelligence algorithms for quantum compiling and quantum neural networks.
Requirements: Linear algebra Curriculum: 2. Condensed matter physics |
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Secure quantum computing.
Requirements: Linear algebra Curriculum: 2. Condensed matter physics |
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Quantum computing for space applications
Requirements: Linear algebra Curriculum: 2. Condensed matter physics |
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Development of machine-learning potential (Gaussian regression process and neural network) for the design of nanocatalysts.
Requirements: Knowledge of Solid Physics and Surface Physics Curriculum: 2. Condensed matter physics |
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Modelling of the assembling of metallic nanoparticles into nanofilaments and nanofoams and the study of their transport proprieties.
Requirements: Knowledge of Solid-State Physics and Surface Physics Curriculum: 2. Condensed matter physics |
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Development of machine-learning potential (Gaussian regression process and neural network) for the design of nanocatalysts.
Requirements: Knowledge of Solid Physics and Surface Physics Curriculum: 2. Condensed matter physics |
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Properties of positronium confined in nanocavities in condensed matter; Rydberg positronium in electric and magnetic fields.
Requirements: Basic knowledge of quantum mechanics, atomic physics and numerical methods Curriculum: 2. Condensed matter physics |
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Antimatter fundamental properties: quantum decoherence with positrons, Aharonov-Bohm effect, Positronium laser cooling.
Requirements: Basic knowledge of quantum mechanics and experimental techniques Curriculum: 2. Condensed matter physics |
M.Giammarchi (INFN)
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Antimatter quantum interferometry, CPT and Weak Equivalence Principle Tests.
Requirements: Basic knowledge of quantum mechanics and experimental techniques Curriculum: 2. Condensed matter physics |
M.Giammarchi (INFN)
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Equilibrium and non-equilibrium fluctuations during sedimentation in normal and micro-gravity conditions.
Curriculum: 2. Condensed matter physics |
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Hydrodynamics and rheology of soft materials and complex fluids.
Curriculum: 2. Condensed matter physics |
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Theoretical and computational study of hybrid organic/inorganic interfaces, molecules at surfaces, and their electron core-level spectroscopies.
Requirements: Knowledge of Solid State and Surface Physics and Quantum Mechanics Curriculum: 2. Condensed Matter Physics |
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Theoretical study and first-principles investigation of structural, electronic, optical, and magnetic properties of nanostructures and low-dimensional systems.
Requirements: Knowledge of quantum mechanics; further basic knowledge of the Many Body theory. Curriculum: 2. Condensed matter physics |
S. Achilli
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Theoretical study and first-principles investigation of structural, electronic, optical, magnetic and transport properties of nanostructures, solid surfaces and multilayer materials, also including the role and applications of point defects.
Requirements: Knowledge of quantum mechanics; further basic knowledge of the Many Body theory. Curriculum: 2. Condensed matter physics |
S. Achilli
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Research on electronic and magnetic properties at equilibrium and out of equilibrium in ultrathin films and nanostructures solids. The research will include the synthesis and nanofabrication of samples with in-situ epitaxy (MBE, PLD, PVD) and time resolved spectroscopy at the 50-150fs scale by optical and photoelectric methods, spin-polarimetry, and 4-wave-mixing. The sources and experimental stations are those of the infrastructure https://www.trieste.nffa.eu NFFA in Trieste (www.Trieste.NFFA.eu )and in the new MiMAG Laboratory (NRRP NFFA-DI, www.NFFA-DI.it) ) at the Dipartimento di Fisica).
Requirements: Condensed matter physics/structure of matter/ Quantum Physics Curriculum: 2. Condensed matter physics |
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Research on surface magnetic structure with nanometric spatial resolution by measuring the spin-polarization od secondary electrons in scanning electron microscopy (SEMPA) and field-emission from scanning probe (STM, SFEMPA). Study on the magnetic configurations of nanostructures as grown and characterized in-situ and methodological developments of magnetic microscopy in the new laboratory MiMAG of the Department of Physics (NRRP NFFA-DI, www.NFFA-DI.it) and in combination with the fine analysis resources of the NFFA infrastructure in Trieste (www.Trieste.NFFA.eu).
Requirements: Condensed matter physics/structure of matter/ Quantum Physics Curriculum: 2. Condensed matter physics |
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Research on a novel hybrid method for exloiting instrumentation and artificial intelligence applied to the Research Infrastructure NFFA-DI (NRRP www.NFFA-DI.it) and NFFA2050 (ESFRI project). Automatic generation of FAIR datasets from experiemnts and computational work. Development of experiment simulators with digital twins of the analytical instrumentation andreference DFT calculaitons. The research will be carried out in the framework of the NFFA-DI infrastructre based in Milano and Trieste and NFFA-Europe/NEP (www.nffa.eu).
Requirements: Condensed matter physics/structure of matter/ Quantum Physics Curriculum: 2. Condensed matter physics |
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Biophysics and use of models from statistical mechanics, physics of complex systems, computational physics and machine learning to the study of biopolymers (proteins, DNA, RNA and chromosomes).
Requirements: Basic knowledge of statistical mechanics and numerical calculations. Curriculum: 2. Condensed matter physics |
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Statistical-mechanics aspects of machine learning
Requirements: Basic knowledge of statistical mechanics and numerical calculations. Curriculum: 2. Condensed matter physics |
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Yielding and recovery in soft materials: opto-rheological and microstructural characterization.
Curriculum: 2. Condensed matter physics |
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Soft-matter and biological physics with applications in quantitative biology.
Requirements: Statistical physics background, interdisciplnary interest Curriculum: 2. Condensed matter physics |
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Electron and spin interactions in quantum dot ensembles aiming at qubit operation
Curriculum: 2. Condensed matter physics |
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Thermal management with nanoparticles using infrared and Uv-Vis technology
Curriculum: 2. Condensed matter physics,5 Applied Physics |
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Quantum control for quantum technologies.
Curriculum: 2. Condensed matter physics |
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Quantum walks and quantum simulators.
Curriculum: 2. Condensed matter physics |
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Open quantum systems and quantum technologies.
Curriculum: 2. Condensed matter physics |
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Development and application of optical instrumentation.
Requirements: Basic knowledge of optics Curriculum: 2. Condensed matter physics |
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Development of advanced wavefront diagnostics.
Requirements: Basic knowledge of optics Curriculum: 2. Condensed matter physics |
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Heating and transport in fusion relevant plasmas.
Curriculum: 2. Condensed matter physics |
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Nonlinear plasma dynamics and antimatter confinement.
Curriculum: 2. Condensed matter physics |
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Modeling friction and dissipation beyond molecular-dynamics simulations: Recent advances in the theory of phonon dissipation generated by sliding objects is beginning to allow researchers to predict dynamic friction by evaluating essentially analytic formulas with no need to simulate explicit atomistic motions.
Requirements: Basic knowledge of classical and quantum statistical mechanics, and many-body theory for condensed-matter physics. Curriculum: 2. Condensed matter physics |
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Modeling friction and dissipation beyond molecular-dynamics simulations: Recent advances in the theory of phonon dissipation generated by sliding objects may allow researchers to predict dynamic friction by evaluating essentially analytic formulas with no need to simulate explicit atomistic motions.
Requirements: Basic knowledge of classical and quantum statistical mechanics, and many-body theory for condensed-matter physics. Curriculum: 2. Condensed matter physics |
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Cooperative effects in the cold and ultracold atomic systems.
Curriculum: 2. Condensed matter physics |
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Spontaneous formation of ordered structures in cold atom gases.
Curriculum: 2. Condensed matter physics |
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Molecular Nanomagnets for quantum sensing and high-density data storage.
Curriculum: 2. Condensed matter physics |
P. Arosio
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Development and characterization ofneuromorphic devices based on nanoparticles and nanstructured films.
Curriculum: 2. Condensed matter physics |
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Development of resistive switching devices based on ionic liquid interfaces for ionotronic applications.
Curriculum: 2. Condensed matter physics |
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Nanostructured materials with potential for energy production, conversion and storage applications: synthesis and characterization.
Curriculum: 2. Condensed matter physics |
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Synchrotron radiation and free electron laser studies on clusters and nanoparticles: physico-chemical characterization; interaction with photons and energy relaxation processes in isolated nano-objects.
Curriculum: 2. Condensed matter physics |
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Atomistic simulations of structural and dynamical properties of nanoscale systems: friction and dissipative phenomena.
Requirements: Basic knowledge of classical and statistical mechanics, and condensed-matter physics. Curriculum: 2. Condensed matter physics |
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Single-Temporal-Mode Squeezed state generation for applications in optical quantum computers, quantum metrology and quantum communication
Requirements: Knowledge of theoretical and / or experimental quantum optics and quantum information Curriculum: 2. Condensed matter physics |
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Development of loop computing units for the implementation of Gaussian boson sampling in photonic quantum computers and their theoretical analysis
Requirements: Knowledge of experimental and / or theoretical quantum optics and quantum information Curriculum: 2. Condensed matter physics |
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Computational and statistical mechanics approaches to biophysical phenomena.
Curriculum: 2. Condensed matter physics |
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Materials property prediction and design by artificial intelligence algorithms.
Curriculum: 2. Condensed matter physics |
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Phase transitions in solutions of nanoparticles made of DNA.
Curriculum: 2. Condensed matter physics |
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Free-Electron Laser bases on two fold acceleration and arc compressor.
Curriculum: 2. Condensed matter physics |
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Experimental studies on quantum vortices in ultracold fermionic superfluids of Li-6 atoms
Curriculum: 2. Condensed matter physics |
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Experimental studies on a low dimensional strongly correlated superfluid system with ultracold Li-6 atoms
Curriculum: 2. Condensed matter physics |
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Ab initio calculation of structural, electronic and optical properties of 2D and 1D materials, including novel carbon-based systems beyond graphene
Requirements: Knowledge of quantum mechanics; further basic knowledge of the Many Body theory. Curriculum: 2. Condensed matter physics |
S. Achilli
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Ab initio calculation of atomic defects in solids for applications in quantum technologies
Requirements: Knowledge of quantum mechanics; further basic knowledge of the Many Body theory. Curriculum: 2. Condensed matter physics |
S. Achilli
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Innovative tracking trigger systems for the high-luminosity frontier particle physics experiments.
Curriculum: 3. Nuclear and particle physics |
C.Meroni INFN
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Measurements of Standard Model processes and of Higgs boson properties in proton-proton collision with the ATLAS experiment at the LHC.
Curriculum: 3. Nuclear and particle physics |
T.Lari (INFN)
S.Resconi (INFN)
R.Turra (INFN)
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Research and development of semiconductor detectors with high space and time resolution for experiments at future accelerators and multidisciplinary applications.
Curriculum: 3. Nuclear and particle physics |
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Study of physics processes at future high-energy e+e- colliders.
Curriculum: 3. Nuclear and particle physics |
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Studies of properties of nuclei far from stability of interest for nucleosynthesis processes occurring in stars. Activity based on stable and radioactive beams (at CERN-ISOLDE, LNL, ILL, GSI/FAIR, RIKEN and RNPC-Osaka), employing large arrays, advanced gamma spectroscopy methods with developments of new techniques.
Requirements: Nuclear Physics. Gamma and particle detectors Curriculum: 3. Nuclear and particle physics |
G. Benzoni (INFN)
A. Giaz (INFN)
O. Wieland (INFN)
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Study of the gamma decay from nuclear highly collective states and study of the detectors and technique for the measurement of high energy gamma rays (5-30 MeV).
Requirements: Nuclear Physics. Gamma and particle detectors Curriculum: 3. Nuclear and particle physics |
G. Benzoni (INFN)
A. Giaz (INFN)
O. Wieland (INFN)
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Measurement of cross sections of nuclear reactions of astrophysical interest (Primordial nucleosynthesis, Hydrogen, Helium and Carbon burning) in the Gran Sasso underground Laboratory (LUNA and LUNA MV experiments).
Requirements: Principles of Nuclear Physics. Particle detectors Curriculum: 3. Nuclear and particle physics |
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Neutrino physics and neutrino detector development with the JUNO experiment.
Curriculum: 3. Nuclear and particle physics |
B.Caccianiga (INFN)
M.Giammarchi (INFN)
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Equation of state of nucleonic matter, applications to compact objects and multi-messenger signals.
Curriculum: 3. Nuclear and particle physics |
E.Vigezzi (INFN)
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Direct nuclear reactions to probe structure at the limits of stability.
Curriculum: 3. Nuclear and particle physics |
E.Vigezzi (INFN)
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Study of atomic nuclei using direct and inverse Density Functional Theory.
Curriculum: 3. Nuclear and particle physics |
E.Vigezzi (INFN)
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Ab initio studies of the nuclear force and correlations in nuclei.
Curriculum: 3. Nuclear and particle physics |
E.Vigezzi (INFN)
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Novel Machine Learning and Quantum Monte Carlo approches for strongly correlated many-fermoin systems
Curriculum: 3. Nuclear and particle physics |
E.Vigezzi (INFN)
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Design and development of superconducting RF resonators for the future very large lepton colliders.
Curriculum: 3. Nuclear and particle physics |
C.Pagani (INFN)
L.Monaco (INFN)
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Search of Time modulation from low-mass Dark Matter using twin detectors based on high purity NaI crystal matrices located in both hemispheres: Gran Sasso and Australia.
Curriculum: 3. Nuclear and particle physics |
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Development of cryogenic light detectors based on SiPM matrices for applications in the field of Neutrino Physics and Dark Matter.
Curriculum: 3. Nuclear and particle physics |
M.Citterio (INFN)
P.Sala (INFN)
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Searches for new physics in proton-proton collisions with the ATLAS experiment at the LHC.
Curriculum: 3. Nuclear and particle physics |
T.Lari INFN
S.Resconi (INFN)
R.Turra (INFN)
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Ultra High Energy Cosmic Rays with the Auger Observatory.
Curriculum: 3. Nuclear and particle physics |
L. Caccianiga (INFN)
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Investigation by analytical and numerical methods and experimental characterization of high field superconducting magnets, 15 tesla) for the post-LHC future colliders.
Curriculum: 3. Nuclear and particle physics |
M.Statera (INFN)
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Study and small scale experimental models of magnets wound with HTS (High Temperature Superconductors) for the MUON COLLIDER project.
Curriculum: 3. Nuclear and particle physics |
M.Statera (INFN)
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New technology development, based on HTS (High Temperature Superconductor), for 10-20 tesla high field magnets and space magnets for next generation particle and astro-particle experiments.
Curriculum: 3. Nuclear and particle physics |
M.Statera (INFN)
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Development of ASICs and advanced electronics systems for particle physics.
Curriculum: 3. Nuclear and particle physics |
M.Citterio (INFN)
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Measurements of electromagnetic dipole moments of short-lived baryons at LHC.
Curriculum: 3. Nuclear and particle physics |
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Flavour physics and CP violation in the LHCb experiment.
Curriculum: 3. Nuclear and particle physics |
P.Gandini (INFN)
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Direct search of Weakly Interacting Massive Particles (dark matter) with liquid argon detectors in the framework of the global Argon dark matter collaboration. In particular, simulation, construction and analysis of the DarkSide-20k experiment at the Gran Sasso National Laboratory (Italy). Radio purity of detector materials, detector control system and measurements on photoelectronic detectors (SiPM) are also part fo this topic.
Requirements: Particle physics Curriculum: 3. Nuclear and particle physics |
S. Resconi (INFN)
A. Zani (INFN)
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Experimental Nuclear Physics for medicine: development of detectors and cross section measurements useful for hadrotherapy.
Curriculum: 3. Nuclear and particle physics |
S.Muraro (INFN)
I. Mattei (INFN)
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Measurement of nuclear fragmentation processes of intermediate energy to be used in the simulation models applied to hadrotherapy and radioprotection.
Curriculum: 3. Nuclear and particle physics |
S.Muraro (INFN)
I. Mattei (INFN)
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Cryogenic front-end electronics characterization by innovative digital signal processing techniques within the LEGEND Collaboration (INFN Gran Sasso).
Curriculum: 3. Nuclear and particle physics |
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Paleo-detectors: Investigating the past flux of astroparticles in natural minerals
Curriculum: 3. Nuclear and particle physics |
L. Caccianiga (INFN)
C. Galelli (INFN)
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AdS/CFT correspondence and supersymmetric field theories.
Curriculum: 4. Theoretical physics |
A.Santambrogio (INFN)
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Precision studies of the fundamental interactions at present and future particle colliders. Automation of symbolic calculation techinques. Analytical representation of the quantum corrections. Comparison of the Standard Model predictions with those of Effective Field Theories.
Curriculum: 4. Theoretical physics |
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Foundations of quantum mechanics.
Curriculum: 4. Theoretical physics |
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Black holes in supergravity and string theory.
Curriculum: 4. Theoretical physics |
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Inflation and string theory.
Curriculum: 4. Theoretical physics |
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Statistical mechanics, out-of-equilibrium systems, complex systems, with interdisciplinary applications in quantitative biology.
Requirements: Basic knowledge of statistical mechanics, interdisciplnary interest Curriculum: 4. Theoretical physics |
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Statistical physics of deep learning; the role of data structure concerning expressivity and generalization in machine learning; models of neural networks as complex systems.
Requirements: Basic knowledge of statistical mechanics and machine learning; interest in interdisciplinary applications of theoretical physics. Curriculum: 4. Theoretical physics |
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Mathematical and statistical computational models for AI development in healthcare applications.
Curriculum: 4. Theoretical physics |
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Quantum simulation on classical hardware, quantum computing techniques and quantum ML applied to High Energy Physics.
Curriculum: 4. Theoretical physics |
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Computational models with hardware accelerators for High Energy Physics applications.
Curriculum: 4. Theoretical physics |
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Theoretical physics at the LHC: fundamental interactions and the Higgs boson in the standard model and beyond.
Curriculum: 4. Theoretical physics |
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Parton Distribution Functions: machine learning, software tools, perturbative QCD.
Curriculum: 4. Theoretical physics |
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Infrared resummation of the QCD perturbative series and non-perturbative corrections.
Curriculum: 4. Theoretical physics |
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Development and application of computational methods to study the structure and dynamics of biomolecules.
Requirements: Biophysics/Statistical Mechanics Curriculum: 5 Applied physics |
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Laser source proton accelerators for therapeutic beams.
Curriculum: 5 Applied physics |
D.Giove (INFN)
C.Pagani (INFN)
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Biomimetic scaffolds for tissue-engineered tissue replacement: structural properties by spectroscopic, calorimetric and mechanical studies.
Curriculum: 5 Applied physics |
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Production optimization with unconventional techniques and at high specific activity of radionuclides for applications in medicine (radiodiagnostic, metabolic radiotherapy towards the theranostic), environmental and nanotoxicological studies.
Requirements: Basic knowledge of Health Physics and Radioprotection Curriculum: 5 Applied physics |
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Design and characterization of antifreeze materials.
Curriculum: 5 Applied physics |
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Development and characterization of novel materials and methodologies for ionizing radiation detection and dosimetry.
Curriculum: 5 Applied physics |
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Development and implementation of a compact XRF spectrometer for variable angle measurements on cultural heritage materials.
Curriculum: 5. Applied physics |
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Multivalent cooperative binding for high sensitive molecular recognition by optical biosensor.
Curriculum: 5 Applied physics |
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Climate and its variability and change in Italy, the Alpine Region and the Mediterranean area.
Curriculum: 5 Applied physics |
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Magnetic nanoparticles: fundamental properties and applications to biomedicine.
Curriculum: 5 Applied physics |
P. Arosio
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Nanocomposite systems for soft robotics.
Curriculum: 5 Applied physics |
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Development of Monte Carlo methods for the calculation of interaction of Radiation with Matter, focusing in particular on biomedical applications.
Curriculum: 5 Applied physics |
S.Muraro (INFN)
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Physics and application of Inverse Compton Sources.
Curriculum: 5 Applied physics |
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Extracellular vesicles: structural characterisation by neutron and X-ray techniques and study of their internalisation mechanisms.
Curriculum: 5 Applied physics |
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Light, X-ray and neutron scattering by nano-structures (amyloid peptides and proteins, biocolloids) in solution and in interaction with biological membranes.
Curriculum: 5. Applied physics |
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Scale invariance and self affinity of the surfaces of glaciers.
Curriculum: 5. Applied physics |
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Development of biomaterials for biomedical applications (bio-hybrid actuators, microparticles for biomoleculecs delivery, 3D scaffolds)
Curriculum: 5. Applied physics |
S. Gallo
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Superconducting accelerating cavities with minimum cryogenic losses for intense sources of neutrinos and spallation neutrons for spectroscopy and transmutation.
Curriculum: 5. Applied physics |
C.Pagani (INFN)
A.Bosotti (INFN)
R.Paparella (INFN)
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Laser based injector for high brightness electron beams.
Curriculum: 5. Applied physics |
D.Giove (INFN)
L.Serafini (INFN)
D.Sertore (INFN)
C.Pagani (INFN)
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Structural signature of dynamical arrest in epithelial cell tissues.
Curriculum: 5. Applied physics |
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Ultrasensitive optical biosensors based on interferometric reflective imaging for digital detection of single viruses.
Curriculum: 5. Applied physics |
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Internal dosimetry in nuclear medicine.
Curriculum: 5. Applied physics |
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Development of new superconducting dipole magnet technology (multifunction, curved, fast ramped) for the EU program (H2020-HITRI/IFAST for next generation hadron therapy.
Curriculum: 5. Applied physics |
M.Statera (INFN)
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Understanding membraneless organelles: phase behaviour and molecular interactions in protein-nucleic acids coacervates.
Curriculum: 5. Applied physics |
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Educational proposals for the introduction and learning of the concept of spin in Quantum Mechanics for high school and undergraduate courses
Curriculum: 5. Applied physics |
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Statistical methods in UV-VIS-NIR reflectance spectroscopy of pigments and dyes in paintings.
Curriculum: 5. Applied physics |
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Hydrogels and biological interfaces for applications in nanomedicine.
Curriculum: 5. Applied physics |
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Computational study of complex biomolecular systems via standard and enhanced sampling techniques (Monte Carlo, Molecular Dynamics, Metadynamics, etc.).
Curriculum: 5. Applied physics |
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Development of experimental and modelling advanced approaches for the study of atmospheric aerosol properties and sources.
Curriculum: 5. Applied physics |
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Can a fluid be polar? Understanding the newly discovered ferroelectric liquid crystal phase.
Curriculum: 5. Applied physics |
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Development of advanced experimental techniques and of experimental models for the investigation of interactions at cell surface.
Curriculum: 5. Applied physics |
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Development of AI methods for X-ray imaging for medical applications
Requirements: Basic knowledge of of imaging techniques Curriculum: 5. Applied physics |
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Development of reconstruction algorithms in computed tomography (CT) based on photon counting detector
Requirements: Basic knowledge of of imaging techniques and Medical Physics Curriculum: 5. Applied physics |
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Computational analysis of the molecular mechanisms underlying antibiotic resistance, with a focus on target proteins and cellular membranes, using both basic and advanced sampling techniques such as Docking, Molecular Dynamics, and Metadynamics
Curriculum: 5. Applied physics |
Enrolment
Places available: 15
Call for applications
Please refer to the call for admission test dates and contents, and how to register.
Application for admission: from 15/05/2025 to 13/06/2025
Application for matriculation: from 14/07/2025 to 18/07/2025
Attachments and documents
Following the programme of study
Contacts
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