Several PhD Positions in the doctoral program Mathematical and Physical Sciences for Advanced Materials and Technologies


This Ph.D. program has an interdisciplinary feature aiming to combine fundamental fields such as mathematics and physics with cutting edge engineering of advanced materials and the development of innovative photonic and electronic devices.

In addition to the close links between mathematics and physics, several research areas of both fields have strong bidirectional connections with many engineering sectors too.

In the obvious direction towards applications lie areas of mathematics such as optimization and control theory, qualitative and numerical analysis of partial differential equations, advanced mathematical modelling and computational methods. Similarly, the physics of micro and nanostructured materials and the study of the interaction between electromagnetic fields and matter continuously led to important applications in electronic and photonic technologies, including plasmonics, spintronics, innovative magnetic materials and quantum technologies.

In the opposite direction, new technically demanding physics experiments, such as those typical of high-energy physics, require cutting edge technological solutions coming from electrical and materials engineering, as well as from information and data science. At the same time the development of applications of polymeric, ceramic, metallic, hybrid, possibly nanostructured, materials as well as microstructured complex liquids require sophisticated mathematical models based on the thermodynamics of multicomponent structures, on transport phenomena, multiscale simulation of composite materials, computational fluid dynamics of homogeneous, heterogeneous and rheological complex fluids. All these issues led in recent years to the development of new methods of mathematical analysis and numerical simulation.

This Ph.D program lies at the intersection of all these different paths. It aims to provide future researchers and technologists with sound mathematical and physical grounds to be used to solve challenging engineering problems and to develop innovative technologies and exploit them for the further advancement of knowledge.


Admission to the PhD program is based on qualifications and an interview. A master’s degree or equivalent is required (a four or five years bachelor’s degree from an elite University may occasionally be considered equivalent).

Applicants will provide a CV and a brief description of their research interests. At least one but no more than 3 reference letters are also required. Among all applicants, a short list will be selected for the interview.

The Ph.D program

The Ph.D. program has a duration of four years. First year will be mostly focused on classwork and study while the remaining years will be mainly devoted to research activities.

Here follows a list of the main subjects of interest:

Computational electromagnetics
Computational fluid dynamics
Continuum mechanics
Differential geometry
Experimental methods in fundamental physics
Fluid mechanics
Fundamental-physics sensors and resulting technologies
Modelling and simulation of soft matter
Multiscale modelling of materials
Partial differential equations (qualitative and a numerical analysis)
Plasmonic and metamaterials
Physics of complex materials and related devices
Quantum information and quantum simulation
Thermodynamics and constitutive equations of materials

Training in soft skills

These activities will be organized together with the other Ph.D. programs of the School and with the University of Napoli Federico II.

Italian language courses for foreigners as well as English, German, French and Spanish courses are available at the University Federico II.

Short training courses on project development and proposal writing will be organized by the School. To this aim, meetings are planned with young recipients of ERC, FIRB and other grants.

Job location: 
Scuola Superiore Meridionale, Università di Napoli Federico II, Largo San Marcellino 10
80138 Napoli NA
Contact and application information