PhD Position in mathematical modelling of infectious diseases and climate change

Karlstad University; Strasbourg; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Une opportunité passionnante vous attend dans un projet de doctorat innovant, axé sur la modélisation mathématique des maladies infectieuses et le changement climatique. Ce projet de recherche de pointe vous permettra de contribuer à la compréhension des dynamiques épidémiques face aux défis climatiques. Vous aurez l'occasion de développer des modèles novateurs et d'appliquer vos compétences en programmation pour analyser des données cruciales, tout en collaborant avec des experts internationaux. Si vous êtes passionné par la recherche en épidémiologie et que vous souhaitez avoir un impact significatif sur la santé publique, cette position est faite pour vous.

Prestations

Environnement de recherche stimulant

Collaboration avec des experts internationaux

Possibilité d'extension du contrat

Qualifications

• Master requis en biostatistique, physique, mathématiques ou informatique.
• Expérience en modélisation mathématique et analyse de données souhaitée.

Responsabilités

• Développer des modèles innovants pour étudier l'impact du climat sur les maladies.
• Collaborer avec des experts internationaux sur des études de cas réelles.

Connaissances

Modélisation mathématique

Analyse de données

Programmation en R

Programmation en Python

Modélisation statistique

Simulation numérique

Compétences en communication en anglais

Formation

Master en discipline quantitative

Outils

R

Python

C++

Description du poste

PhD Position in Mathematical Modelling of Infectious Diseases and Climate Change

The Université catholique de Louvain (UCLouvain) is internationally recognized for research and teaching quality in many different fields of expertise.

Climate change is reshaping our world, and its impact on the spread of infectious diseases is profound. Rising temperatures, shifting precipitation patterns, and increasingly frequent extreme weather events like floods create new opportunities for disease vectors such as mosquitoes to thrive. These changes are expanding the geographic range of vector-borne diseases and amplifying the scale and timing of outbreaks.

This PhD project offers you the opportunity to unravel the complex interplay between climate, flooding events, and epidemic dynamics. Using cutting-edge tools like mechanistic modeling and remote sensing data, you will contribute to groundbreaking research aimed at predicting and mitigating the risks of infectious diseases in a changing climate.

Key Project Highlights:

1. Review the available information on outbreaks in the aftermath of flooding events.
2. Develop innovative models incorporating hydroclimatic variables and population displacement.
3. Apply these models to real-world case studies, exploring "what-if" scenarios to guide interventions and policies.
4. Collaborate with international experts and leverage state-of-the-art datasets.

Make a lasting impact by advancing our understanding of how climate change influences public health and shaping strategies to protect vulnerable communities worldwide.

Your Profile:

1. Master's degree in a quantitative discipline (such as biostatistics, physics, mathematics, computer science). If you do not hold a master's degree but expect to acquire it before October 2025, please specify the expected date.
2. Experience in mathematical and/or statistical modeling, programming and numerical simulations, and data analysis.
3. Proficiency in programming with R and/or Python. Experience with C++ is considered a plus.
4. Fluent in written and oral English.
5. Experience in mathematical modeling of infectious diseases is advantageous but not mandatory.

What We Offer:

1. An initial appointment of two years, with the possibility of extension to a total of four years, starting in October 2025.
2. A competitive salary range of €2400-€2500 per month.
3. A stimulating research environment and the opportunity to work on cutting-edge topics in epidemiology, mathematical modeling, and climate change.
4. Possibility of collaboration with international experts.

Application Process: To apply, please send your CV, a cover letter explaining your interest in the position, and any relevant documents (e.g., transcripts of exams and publications) to [e-mail]. Please include in your CV the contact information of who could be contacted to support your application (e.g., Master thesis supervisor). The deadline for the application is the 31st of May, and applications will be reviewed on a rolling basis.

Education Level: Master Degree or equivalent

Languages: ENGLISH

Level: Good

Additional Information

Work Location(s)

Number of offers available: 1

Job Details

Title: PhD Position in Mathematical Modelling of Infectious Diseases and Climate Change

Published: 2025-04-09

Application Deadline: 2025-05-31 12:00 (Europe/Brussels)