Master's Thesis in Computational Modelling of Aerosol Deposition in Respiratory System

TL;DR

Master's Thesis in Computational Modelling of Aerosol Deposition in Respiratory System: Contribute to developing computational models to simulate aerosol transport and deposition in human lungs through stochastic/statistical algorithms with an accent on lung physics, physiology, and designing therapeutic aerosols. Focus on running simulations in top European supercomputing facilities and applying computational physics/engineering best practices.

Location: Hosted in hirify.global Farmaceutici R&D labs in Parma, Italy; substantial part of research activity can be conducted remotely.

Company

International research-focused biopharmaceutical group with 90 years’ experience, headquartered in Parma, Italy, operating in more than 30 countries across Air, Care, and Rare therapeutic areas.

What you will do

• Develop computational models for aerosol transport and deposition in human lungs using stochastic/statistical algorithms.
• Learn lung physics, physiology, and therapeutic aerosol design concepts.
• Run simulations on top European supercomputing facilities following computational physics/engineering best practices.
• Contribute to virtual patient lungs (lung digital twins) and potential extensions to animal models.

Requirements

• Curriculum in mathematics, physics, fluid mechanics engineering, bio-engineering, or medical engineering.
• Basic programming skills and knowledge of Python.
• Good knowledge of written and spoken English for international multi-disciplinary environment.
• Propensity for team-working and communication.

Nice to have

• Knowledge of parallel computing.
• Knowledge of Linux/Unix operating systems.

Culture & Benefits

• 6 months internship.
• Small grant for travel and stay expenses for students from outside the region.
• Free access to internal canteen for lunch.
• Free shuttle from railway station to hirify.global Research Center or free urban public service pass.
• Culture of reliability, transparency, ethical behavior, diversity, and inclusion as a Benefit Corporation and B Corp.

Hiring process

• Send CV by 31 March 2026, specifying name of professor willing to be thesis supervisor.
• Contact a.benassi@hirify.global.com for more information on research topics.