Postdoc: Data Integration & Visualization for Ecology

Aarhus Universitet (AU); Aarhus; On-site; DKK 420,000 - 540,000; Full time

Job summary

Aarhus Universitet (AU) i Aarhus C søger en postdoktor til at arbejde med dataintegration og visualisering af store økologiske datasæt ved Land-CRAFT og SustainScapes. Stillingen fokuserer på at skabe sammenhængende workflows, datafiler og knowledge graphs.

Du vil bruge AI/ML-metoder på sammensatte data som jord-, sensor-, billed- og historiske kort samt satellit- og dronedata. Start 1. nov. 2026 med varighed til 31. okt. 2029.

Qualifications

• PhD in Data Science or closely related field with years of collaboration in natural sciences.
• Proven expertise in temporal and geospatial analyses of ecological patterns.
• Experience in the conceptualisation and development of new methodological approaches.
• Strong documented skills in advanced AI and machine learning methods, including demonstrated experience in analysing historical and contemporary land-use data.
• Proven capability to acquire, download, manage, and synthesise large geospatial datasets from diverse sources.
• Proven skills in developing data workflows and data management strategies for a variety of sensor-based datasets.
• Proven ability to publish at a high international level. Excellent written and oral communication skills in English are required.
• Strong interpersonal and collaborative skills, with a demonstrated ability to work effectively across disciplines and employee groups.

Responsibilities

• Conceptualisation and synthesis of data integration and visualisation workflows.
• Data management and the development of knowledge graphs
• Development and application of AI and machine learning methods and pipelines.

Skills

Temporal analyses

Geospatial analyses

AI/ML methods

Data management

English communication

Interdisciplinary collaboration

Education

PhD in Data Science

Tools

GIS software

Job description

Aarhus Universitet (AU) i Aarhus C søger en postdoktor til at arbejde med dataintegration og visualisering af store økologiske datasæt ved Land-CRAFT og SustainScapes. Stillingen fokuserer på at skabe sammenhængende workflows, datafiler og knowledge graphs.

Du vil bruge AI/ML-metoder på sammensatte data som jord-, sensor-, billed- og historiske kort samt satellit- og dronedata. Start 1. nov. 2026 med varighed til 31. okt. 2029.