PhD in Disease Ecology: One Health Data-Driven Research

University of Jyvaskyla; Jyväskylä; Presencial; EUR 25.000 - 30.000; Jornada completa

Descripción de la vacante

University of Jyväskylä in Jyväskylä, Finland, is recruiting a Doctoral Researcher in Disease Ecology for a fixed term of 42 months, starting 4 January 2027 (or as agreed). The project uses a One Health approach to study urbanisation, forest management, and zoonotic disease risk across Finland's environments.

The role focuses on integrating large datasets and applying R, GIS, and statistical modelling to answer host-pathogen questions.

Formación

• A suitable master’s degree in epidemiology, biostatistics, quantitative ecology or a related discipline with demonstrated experience using R for data processing, statistical analysis and visualisation.
• A sound understanding of statistical modelling and an interest in integrating complex ecological and environmental datasets.
• A strong interest in disease ecology, wildlife-pathogen interactions, environmental change and One Health. Good written and spoken English.
• The ability to work independently and collaboratively in an international research environment.

Responsabilidades

• Prepare scientific publications and complete the doctoral dissertation and required doctoral studies.
• Conduct quantitative analyses integrating long-term wildlife data, pathogen-screening results and environmental information.
• Collaborate with supervisors and international research team on project deliverables.
• Contribute to dissemination of findings through conferences and journals.

Conocimientos

R for data analysis

Spatial analysis

English proficiency

Educación

Master's degree in epidemiology/biostatistics/quantitative ecology

Herramientas

GIS

Statistical modelling

Descripción del empleo

University of Jyväskylä in Jyväskylä, Finland, is recruiting a Doctoral Researcher in Disease Ecology for a fixed term of 42 months, starting 4 January 2027 (or as agreed). The project uses a One Health approach to study urbanisation, forest management, and zoonotic disease risk across Finland's environments.

The role focuses on integrating large datasets and applying R, GIS, and statistical modelling to answer host-pathogen questions.