Study of numerical algorithms for multi-model simulations of environmental flows

 

Titolo in italiano: Studio di algoritmi numerici per simulazioni multi-modello di flussi ambientali 

 

 

1 Research Collaborator position
(Deadline October 23rd, 2024 13:00 )
Fields

Potential flow theory, Navier-Sokes equations, Domain Decomposition

Profile

 

The researcher will carry out research activities in the computational fluid dynamics field, using instruments from numerical analysis, scientific computing and data science. The ideal candidate has a multidisciplinary background, with experience in fields such as physics, engineering, mathematics and mathematical modeling, numerical analysis and simulation of complex systems, computer science and knowledge/use of high performance computing platforms and graphical libraries. The candidate must also have the professional background to work in a highly multidisciplinary team such as the IMT School one.

Activity

 

The researcher will provide their contribution to the development of reduced order models for urban flows. In particular, the solvers to be studied will be based on the decomposition of the domain into regions in which the flow is vortical and regions in which vorticity is absent. As in the latter regions a Laplace fluid dynamic model can be used, such an approach allows for a significant reduction of the domain portion in which full Navier—Stokes equations need to be solved, with a consequent decrease in the overall computational time. The researcher will then work on algorithms able to interface Navier—Stokes solvers with potential flow solvers based on Boundary Element Method (BEM) discretization, which are currently under development at the IMT School.

Formal requirements

 

  • Master's Degree in Mathematical Engineering, Physical Engineering, Industrial Engineering (Aerospace, Mechanical, Energetics, Nuclear, etc.), Civil Engineering or equivalent, Mathematics, Physics, Computer Science, Computer Engineering, Data Science and Scientific Computing;
  • Good knowledge of written and spoken English.
Specific requirements

 

  • Research experiences in: mathematical modeling, numerical analysis and simulation of complex systems for biomedical, environmental and industrial problems;
  • Experience in optimization and control, data assimilation, data science, computer programming (Matlab, Python, C++), use/development of software libraries for scientific computing, use of high performance computing platforms.
Duration

1 year, renewable

Gross amount

€ 25.815,00 per year

SSD

MATH-05/A Numerical Analysis

Project

PRIN 2022 PNRR A_MOLA P2022FEZS3 Titolo: "ROMEU: Reduced Order Models for Environmental and Urban flows" (codice UGOV: P0334; Codice MUR: P2022FEZS3; CUP: D53D23018880001) finanziato dall’Unione europea – Next Generation EU nell’ambito del Piano Nazionale di Ripresa e Resilienza PNRR, Missione 4 Componente 2 Linea di Investimento 1.1.

Job Research Area: 
CSSE
Job Research Unit: 
MUSAM
Job Contract Type: 
Assegno di ricerca
Full call

 

Si segnala che per la presentazione delle candidature sul sito PICA al momento NON E' DISPONIBILE il login tramite SPID - Si prega di effettuare la registrazione secondo le modalità alternative

New deadline decree

 

"In ragione del malfunzionamento dei servizi web della piattaforma PICA-CINECA dovuto agli eventi metereologici critici degli ultimi giorni, il termine di scadenza per la presentazione delle domande di partecipazione è esteso al 23 ottobre 2024, ore 13, ed è consentito l'invio delle domande di partecipazione mediante l'inoltro via e-mail, all'indirizzo researchers.opening@imtlucca.it, delle informazioni e degli allegati richiesti nel bando di selezione."

 

Due to the malfunctioning of the web services of the PICA-CINECA platform caused by the critical weather events of the last few days, the deadline for the submission of applications is extended to 23 October 2024, 1 p.m., and applications may be submitted by forwarding the information and annexes required in the call for applications by e-mail to researchers.opening@imtlucca.it.

Application

Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.

Info

  • Personal info and contact info (compulsory)
  • Number of your Identity Document (Passport or Identity Card) (compulsory)
  • University degree and ongoing PhD (compulsory)

Attachments

  • Your CV in English (compulsory)