Postdoc: Data-Driven Ecology & AI Visualization

DTU — Technical University of Denmark; Aarhus; Hybrid; DKK 380,000 - 480,000; Full time

Job summary

Aarhus University, Department of Biology, seeks a postdoctoral researcher to lead data integration and visualisation work at the Ecoinformatics interface. You will integrate field and sensor data with maps and satellite data to create knowledge graphs and AI-driven insights for landscape research.

You will design workflows, manage data and apply advanced AI/ML methods, working across biology, geography, and agroecology with international partners.

Qualifications

• PhD in Data Science with experience in biology/geography or related fields.
• Proven expertise in temporal/geospatial analyses of ecological patterns.
• Experience in developing new methodological approaches.
• Strong skills in AI/ML methods and analysing land-use data.
• Ability to handle large geospatial datasets from diverse sources.

Responsibilities

• Conceptualise and synthesize data integration and visualisation workflows.
• Develop knowledge graphs and manage data pipelines.
• Apply AI/ML methods to ecological data and dashboards.

Skills

Geospatial analyses

Temporal analyses

AI/ML methods

Data integration

Knowledge graphs

Data workflows

English communication

Education

PhD in Data Science

Tools

Python

R

GIS

Job description

Aarhus University, Department of Biology, seeks a postdoctoral researcher to lead data integration and visualisation work at the Ecoinformatics interface. You will integrate field and sensor data with maps and satellite data to create knowledge graphs and AI-driven insights for landscape research.

You will design workflows, manage data and apply advanced AI/ML methods, working across biology, geography, and agroecology with international partners.