Post Doc on data integration and visualisation →

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

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 in Sustainable Agricultural Futures (Land-CRAFT) and Center for Sustainable Landscapes Under Global Change (SustainScapes).

Expected start date and duration of employment

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

Job description

The post doc position focuses on research questions related to data integration and visualisation (e.g. digital twins) at the interface 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), as well 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 of knowledge graphs
• Development and 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.
• 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.

At the 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.

The department 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

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

Place of work 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.

The work involves some periods of field work away from Aarhus.

Contact information

For further information, please contact: Prof. Signe Normand, ,

Deadline

Applications must be received no later than 21 September 2026.

Formalities and salary range

Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.

Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.

Salary and terms as agreed between the Danish Ministry of Taxation and the Confederation of Professional Unions at basic salary steps 4-8.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.

Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.

Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more. Please find more information about entering and working in Denmark.

Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it.

At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in their career development. We focus on competency development and career clarification and want to make your opportunities transparent. On our website, you can find information on all types of scientific positions, as well as the entry criteria we use when assessing candidates. You can also read more about how we can assist you in your career planning and development.