Overview
Aarhus University is recruiting a three-year postdoc in ecological data integration, visualization, digital twins, knowledge graphs, AI and machine-learning workflows.
Complete research opportunity details
The appointment runs from 1 November 2026 to 31 October 2029 in the Department of Biology. The research integrates field and sensor data, soil, acoustic and image data, species records, historical maps, satellite and drone data. Tasks include designing data-integration and visualization workflows, data management and knowledge graphs, and developing and applying AI and machine-learning pipelines. Some fieldwork away from Aarhus is expected.
Eligibility requirements
The source ideally seeks a PhD in Data Science plus several years of work with natural-science researchers. Applicants should demonstrate temporal and geospatial ecological analysis, methodological development, advanced AI and machine learning, large geospatial dataset acquisition/management/synthesis, sensor-data workflows, high-level publication output, excellent English, and cross-disciplinary collaboration.
Tips for this postdoctoral opportunity
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
Official Aarhus University vacancy ID 167603 checked 7 September 2026. The page states 21 September 2026 at 23:59 CEST, normalized to 21:59 UTC, and a full-time fixed term from 1 November 2026 through 31 October 2029. Unknown remuneration details are not invented.
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