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Research Fellow in Infection Risk Management (Built-Environment Modelling) (Fixed Term) (ENG265625)

Karlstad University

Nottingham

On-site

GBP 80,000 - 100,000

Full time

11 days ago

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Job summary

A leading research university in Nottingham is seeking a Research Fellow in Infection Risk Management. The role involves developing models to assess infection risk in built environments. Candidates should have a PhD (or nearing completion) in a relevant field and robust analytical skills. This full-time position is fixed-term until 31/12/2026, offering experience in an international research consortium with significant public health implications.

Qualifications

  • PhD or near completion in relevant field.
  • Strong quantitative and analytical skills.
  • Experience in systematic literature reviews or meta‑analyses preferred.

Responsibilities

  • Develop and validate models quantifying infection risk in buildings.
  • Link building performance and pathogen transport with health outcomes.
  • Contribute to an international research consortium.

Skills

Quantitative skills
Analytical skills
Systematic literature reviews

Education

PhD or near completion in Building Physics, Environmental Engineering, or related field
Job description
Research Fellow in Infection Risk Management - Built-Environment Modelling (Fixed-Term) (ENG265625)

We are a pioneering institution that provides an exceptional research-led education for 45,000 students from over 150 countries.

Join an ambitious international team working at the frontier of building science and public health. The University of Nottingham is a key partner in the ARPA‑H BREATHE programme’s SCALE project — a multi‑institutional effort to create the world’s first real‑time system for detecting and controlling airborne pathogens in buildings.

You will work within Technical Area 2 (Respiratory Risk Assessment), developing and validating models that quantify infection risk in buildings using airflow and pollutant transport modelling. This role focuses on linking building performance, ventilation design, and pathogen transport with health outcomes, supporting the development of a new generation of infection‑resilient building standards.

You will join an experienced, collaborative team led by Dr Benjamin Jones and Dr Chris Iddon, working with global experts in infection‑risk modelling. The team are the scientific leaders behind the risk analysis that underpins the world’s first international standard for controlling infectious aerosols in buildings (ASHRAE Standard 241). The work involves analysis, simulation, and integration of real‑world data into risk models that directly inform how buildings are designed and operated to protect occupant health.

The post will particularly suit candidates who enjoy combining rigorous scientific modelling with practical application — translating theory into measurable public‑health benefit. Experience conducting systematic literature reviews or meta‑analyses to inform model assumptions would be advantageous.

We are seeking a self‑motivated researcher with a PhD (or near completion) in Building Physics, Environmental Engineering, or a related field, and strong quantitative and analytical skills.

You will gain experience contributing to an international research consortium funded by ARPA‑H, engage directly with policy and industry partners, and have opportunities for authorship on high‑impact publications.

This is an opportunity to conduct science that will help protect the health of millions of people — translating advanced modelling into practical, life‑improving outcomes.

This is a full‑time, fixed‑term position funded until 31/12/2026.

For informal inquiries, please contact Benjamin Jones benjamin.jones@nottingham.ac.uk. Please note that applications sent directly to this e‑mail will not be accepted.

Closing Date: 17 Dec 2025
Category: Research and Teaching (R&T)

Job details

Title: Research Fellow in Infection Risk Management – Built‑Environment Modelling (Fixed‑Term) (ENG265625)

Application Deadline: 2025-12-17 23:59 (Europe/London)

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