Post-Doctoral Position in Fire Observation

Employer / Host Institution
Universitat Politècnica de Catalunya (UPC), CERTEC research group, Department of Chemical
Engineering, Barcelona, Spain

Supervision / PI
Dr. Ronan Paugam

Location
Barcelona, Spain

Sector / Type
Academic / Full time

Relevant Divisions / Fields
Atmospheric Sciences, Geosciences Instrumentation & Data Systems, Natural Hazards

Level / Experience
Experienced, Post-doctoral

Salary / Contract
Minimum €36,000 per year (gross), remunerated over 14 payments (12 months + two extras in
June and December).
Contract until 31 May 2028.

Required Education
PhD

Application Deadline
Open until the position is filled

Background

This position is part of the EUBURN project (Southern EUrope Biomass BURNing), which advances understanding of extreme wildfires in southern Europe, their climate and air quality impacts, and develops forecasting tools for direct (fire spread) and indirect (air pollution) risks. The project couples biodiversity, fire, and atmospheric processes across scales and aims to support operational services via measurement campaigns and open data sharing. A first campaign (SILEX) in July–August 2025 has tested instruments aboard the SAFIRE ATR-42 aircraft. A subsequent campaign (EUBURN-RISK) is planned in summer 2027, including drones, aircraft, ground platforms, and enhanced monitoring across France, Spain, and Portugal. Partner institutions include Météo-France (CNRM), AEMET, IPMA, University of Évora, UPC, and several other European and operational agencies.

UPC (CERTEC) focuses on fire observation, wildland and WUI fire behavior, fire modeling, and
risk analysis. The successful candidate will contribute to the fire observation component under
Dr. Paugam’s supervision.

Job Description / Tasks

The tasks of the post-doctoral researcher include:

  • Process data from the 2025 SILEX campaign: compute Fire Radiative Power (FRP) using the midwave infrared (MWIR) camera aboard SAFIRE ATR-42, and compare with satellite sensors (e.g. VIIRS, SLSTR, FCI).
  • Delineate fire fronts and compute Rate of Spread (ROS) from IR observations. Build on earlier methods developed by Dr. Paugam for helicopter observations; extend to operational scenarios. Fire front segmentation will be enhanced via machine learning, using EMA-INFACO’s data archive.
  • Develop drone payload for fire activity observation during night flights: detect hotspot locations and intensities in real time. A key challenge is geolocating fire activity despite limited IMU accuracy; a spring 2026 prescribed burn in Andalusia will support required precision estimation, and a prototype will be tested in summer 2026 with EMA-INFACO.
  • Facilitate integration of fire observation outputs with modeling teams within the EUBURN consortium.
  • Assist in preparation and execution of the 2027 field campaign.
  • Disseminate results via scientific publications, conference presentations, and stakeholder communications; contribute to project reports and internal workshops.

Candidate Profile / Requirements

  • Holds a PhD in a relevant domain (e.g. remote sensing, fire science, atmospheric science, applied physics, engineering)
  • Experience in satellite/airborne/infrared remote sensing, fire behavior monitoring, or data
    processing
  • Skills in image processing, machine learning, geospatial data, and programming
  • Ability to work independently, initiative in research, and effective communication skills
  • Experience or interest in integrating observational data into modeling frameworks

How to Apply

Submit a CV and cover letter to ronan.paugam@upc.edu.