Post Doc on data integration and visualisation

Økoinformatik og biodiversitet; Denmark; On-site; DKK 360,000 - 480,000; Full time

Job summary

Aarhus University’s Department of Biology invites applications for a PostDoc position focusing on data integration and visualisation. The role centers on combining field-, sensor-, map-, and satellite-derived data to develop end-user visualisations and knowledge graphs for agro-ecological research.

The successful candidate will work across Centre for Landscape Research (Land-CRAFT) and SustainScapes, contributing to AI/ML workflow development and data management in an international,

Qualifications

• PhD in Data Science with several years of evidence of cross-disciplinary collaboration.
• Experience in temporal and geospatial analyses of ecological data.
• Strong skills in AI/ML and knowledge graph development.

Responsibilities

• Conceptualise and synthesise data integration and visualisation workflows.
• Manage data and develop knowledge graphs for ecological datasets.
• Develop and apply AI/ML methods and pipelines.

Skills

Data integration

Data visualisation

Temporal analysis

Geospatial analysis

AI/ML methods

Knowledge graphs

Scientific collaboration

English communication

Education

PhD in Data Science

Job description

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 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.

• 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.

• 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, [phone], [e-mail] .

Application procedure

Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self.

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.

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 here . Please find more information about entering and working in Denmark here .

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

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.