Air Quality Modeler - Urban & Regional Forecasts

Arianet s.r.l.

Milano

In loco

EUR 32.000 - 38.000

Tempo pieno

35 ore fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

ARIANET's Air & Climate unit in Milano is seeking an Air quality modeler to join the team. You will work on atmospheric modelling, focusing on dispersion, chemical transformation and deposition using FARM-based systems.

You will draft technical reports and present results to public and private clients, and contribute to model development and European projects. You should have a master's degree in a relevant field, 2–4 years of modelling experience, and strong Unix/Linux, Fortran or Python

Competenze

  • Master's degree in physics, engineering, environmental sciences, or related field.
  • 2–4 years of experience in atmospheric modelling.
  • Knowledge of Unix/Linux and Fortran or Python.
  • Good English writing and communication skills.
  • Ability to work independently and within a team.
  • Strong motivation for environmental work.

Mansioni

  • Contribute to atmospheric modelling and dispersion simulations.
  • Operate the FARM model and related tools for forecasts and studies.
  • Draft technical reports and present results to clients.
  • Participate in model development and European research projects.

Conoscenze

Unix/Linux
Fortran
Python
English
Analytical skills
Communication skills
Teamwork
Independent work

Formazione

Master's degree in physics, engineering, environmental sciences, or related field

Strumenti

GIS
HPC
Machine learning

Descrizione del lavoro

ARIANET's Air & Climate unit in Milano is seeking an Air quality modeler to join the team. You will work on atmospheric modelling, focusing on dispersion, chemical transformation and deposition using FARM-based systems.

You will draft technical reports and present results to public and private clients, and contribute to model development and European projects. You should have a master's degree in a relevant field, 2–4 years of modelling experience, and strong Unix/Linux, Fortran or Python

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