Post Doc on data integration and visualisation

Post Doc on data integration and visualisation

Do you enjoy finding solutions to integrate and analyse large ecological data sets with advanced methodologies? Are you creative and able to couple various data flows and provide end user targeted visualisations?

Departement of Biology advertises a postdoc position focused on data integration and visualisation.

The position is related to Center for Landscape Research inSustainable Agricultural Futures (Land-CRAFT)and Center for Sustainable Landscapes Under Global Change (SustainScapes).

Expected start date and duration of employment

Theposition is expected to start 1 November 2026 and will end 31 October 2029.

The post docposition focuses on research questions related to data integration and visualisation (e.g. digital twins) at theinterface between agricultural and biological sciences. This includes the integration of various types of field-based and sensor-based data (soil, acoustic, images, and species data), aswell as historical maps and satellite- and drone-based data. By addressing research questions relevant to data science, biology,and agroecology the aim is to improve data flows and create knowledge graphs and future visions of landscapes.

The tasks will encompass:

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

Qualifications

Ideally, you hold a PhD in Data Sciences and have several years of experience collaborating with scientists in natural sciences, particularly within biology, geography, agrobiology, or geology.

Specifically, we look for the following qualifications:

• PhD in Data Science and several years of proven experience in one or more of the relevant research fields.
• 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.
• Provencapability to acquire, download, manage, and synthesise large geospatial datasets from diverse sources.
• Provenskills 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.
• Stronginterpersonal and collaborative skills, with a demonstrated ability to work effectively across disciplines and employee groups.

Atthe centres, we value a collegial and inclusive working environment and place strong emphasis on good relationships between colleagues and students. We therefore seek candidates with an open, constructive, and collaborative approach.

The Department of Biology

The Department of Biology (http://bio.au.dk/ ) provides a framework for research and teaching in all major biological subdisciplines. The department is especially known for its research contribution in biodiversity, global change and conservation biology, aquatic biology and ecology, arctic environment and ecosystems, genetics and evolution,microbiology and zoophysiology. The department currently encompasses approximately 200 academic and technical staff and 45 PhD students while 400 students follow the BSc and MSc programs offered by the institute.

Thedepartment offers a vibrant and informal research environment with a long-standing tradition of collaboration with international university partners. Much of the internal communication is in English and we welcome international applicants.

What we offer

• anexciting interdisciplinary environment with many national, international and industrial collaborators
• a work environment encouraging lively,open and critical discussion
• awork environment with close working relationships, networking and social activities
• aworkplace characterised by professionalism, equality and a healthy work-life balance.

Place ofwork and area of employment

The place of employment is Aarhus University, Department of Biology, Section for Ecoinformatics and Biodiversity (ECOINF), Ny Munkegade 114, DK-8000 Aarhus C, Denmark, and the area of employment is Aarhus University with affiliated institutions.

Thework involves some periods of field work away from Aarhus.

Applications must be received no later than 21 September 2026.

Application procedure

Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee ch