**Deadline:** 23 may 2024

This is to announce the opening for 12 PhD Fellowships in "Mathematics in Natural, Social and Life Sciences" at Gran Sasso Science Institute (GSSI) starting in November 2024.

In particular 2 PhD Fellowships are funded under ERC projects, see further details below.

The application for all fellowships must be submitted through the online form available at www.gssi.it*phd* by May 23rd, 2024 at 3pm (Italian time zone).
Please find the call at https:/applications.gssi.it*applications*.

Notice that within the Ph.D. Programme in Mathematics in Natural, Social and Life Sciences, it is possible to apply both for the MaTCh or CardiOTrials Project positions and for GSSI scholarships, by submitting different applications.

Should the candidates require any assistance with questions that are not addressed in the GSSI website, please contact applications@gssi.it.

The Mathemathics Area at GSSI is characterized by four large macro-sectors:

Applied Partial Differential Equations (PDEs), Continuum Mechanics, Numerical Methods and Data Science, Probability and Statistical Mechanics.

Within these sectors there is a shared interest in problems related to fluid dynamics, quantum mechanics, statistical mechanics and also its applications to data science.

The rigorous analysis of PDEs carried out in our area aims at providing a deeper understanding of unique physical phenomena, such as fluid (in)stabilities and turbulence, pattern formation and quantum systems.

Computational methods in fluid dynamics are used at the boundary between applied maths and theoretical engineering in innovative projects like modeling the full heart function.

Numerical linear algebra and numerical optimization help to design new models and numerical algorithms for applications in data mining, machine learning and network science.

The Probability and Statistical Mechanics group focuses on developing mathematical methods to address the emergence of collective behavior in classical and quantum systems.

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The Math PhD program at GSSI consists of four years with qualifying exams to be taken during the first year. By the beginning of the second year students select a research project under the supervision of one (or more) of the mathematicians affiliated to GSSI.

We refer to the official page for details about

the GSSI Math PhD program; services for GSSI PhD students; the PhD application procedure.

A brief presentation of the Doctoral programs at GSSI can be found in the following two videos:

Video presentation of the Doctoral Programme in Mathematics at GSSI What to expect from a PhD at the GSSI?

The GSSI fellowships are awarded for 4 years and their yearly amount is € 16.159,91 gross (€ ~1190 net monthly salary). All PhD students have free accommodation or an extra monthly contribution of € 350, plus one € 7 meal voucher for each weekday (around € 140*month).
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1 PhD fellowship funded under the ERC project “CARDIOTRIALS -CARDIac simulations to run in-silicO clinical TRIALS”. The project aims at building a virtual model of the human heart based on the fluid-structure-electrophysiology interaction, which will be exploited to study numerically pathologies and assess the efficacy of cardiac devices, accounting for the statistical variability of the population. The project comprises the study of fluid dynamics phenomena and the application of numerical mathematics and high performance computing. The candidates willing to apply are required to work on this specific research project.

*1 PhD fellowship funded under the ERC project “MaTCh- Macroscopic properties of interacting bosons: a unified approach to the Thermodynamic Challenge”.
The project aims at investigating the low energy properties of interacting quantum particles, and at gaining a mathematical understanding of the emergence of correlated phases, as well as of their instabilities. The successful applicant will be expected to work on problems related to the mathematical description of thermodynamic properties of interacting quantum systems, and in particular the emergence of effective theories from their fundamental, microscopic description.
More information is available at the page: https:/www.serenacenatiempo.it*match