Ecological Inference for Conservation
Collaborate
Research and conservation partners
We welcome contact from conservation organisations, public bodies, monitoring programmes and applied research partners working on questions related to biodiversity management, animal movement, population change or environmental monitoring.
Relevant questions may include:
- Which demographic process limits population recovery?
- How do animals use landscapes or seascapes under changing environmental conditions?
- Can tracking or sensor data reveal exposure to pressures such as disturbance, disease risk, fisheries, waste sites or habitat change?
- What kind of monitoring would reduce ecological uncertainty in a useful way?
- How can animal-borne data complement field surveys, remote sensing or existing monitoring programmes?
We are particularly interested in projects where ecological modelling can help clarify mechanisms, uncertainty and possible management relevance.
Researchers and institutions
We collaborate with researchers working on movement ecology, conservation demography, animal-borne sensors, disease ecology, remote sensing, machine learning and ecological modelling. Possible collaborations include joint research projects, grant applications, comparative analyses, methodological development, and integration of tracking, demographic and environmental data.
Current interests include integrated population models, hidden-state models, behavioural inference from biologging data, sentinel indicators, annual-cycle limitation, and monitoring systems that connect ecological data to conservation questions.
Students and early-career researchers
Students interested in MSc projects, thesis projects or research visits are welcome to contact us. Projects usually involve a combination of ecological data, quantitative analysis and biological interpretation. Depending on the project, this may include animal tracking data, demographic models, accelerometer data, environmental covariates, remote sensing products or conservation scenarios.
Useful skills include experience with R or Python, statistics, ecological modelling, GIS or movement analysis. These skills are helpful but not always required at the start; motivation to work carefully with data and uncertainty is more important.
Possible student projects may involve:
- movement and behaviour of migratory birds
- animal-borne sentinel indicators
- conservation demography and population modelling
- behavioural annotation from accelerometer data
- ecological monitoring and environmental change
- links between movement, habitat use and conservation management
Contact
Please include a short description of the question or project, the data or system involved, the intended timeline, and what kind of collaboration you have in mind. For student enquiries, also include your study programme, thesis requirements or deadlines, and any relevant quantitative or ecological experience.
Funded PhD and postdoc openings will be posted when available.