Postdoc Landscape Ecology for Digital Twins

Are you an expert in landscape ecology with interest in studying spatial patterns and relationships between species and their environment?

Are you experienced with handling large geospatial (e.g. remote sensing) and environmental datasets and combining them with biodiversity observations?

Do you want to contribute to the development of Digital Twins to analyse how biodiversity and ecosystems are impacted by multiple global change stressors (e.g. nitrogen deposition, drought, habitat fragmentation)?

Are you enjoying working in an interdisciplinary research setting bridging ecology, biodiversity science and Earth Observation with informatics, computer science, and environmental management?

The Institute for Biodiversity and Ecosystem Dynamics (IBED) at the University of Amsterdam is looking for an ambitious Postdoc in Landscape Ecology who can contribute to the building of Digital Twins of ecosystems. The position is part of a larger project that develops LTER-LIFE, a novel large-scale research infrastructure for studying and predicting how changes in climate and other human-induced pressures affect ecosystems and biodiversity.

Your work will be embedded in the Biogeography & Macroecology (BIOMAC) lab of the Department Theoretical and Computational Ecology  at IBED, and involve collaborations with other consortium partners from Dutch research institutes and universities (e.g. Netherlands Institute of Ecology NIOO-KNAW, National Institute for Public Health and the Environment RIVM, Royal Netherlands Institute for Sea Research NIOZ, and Wageningen University & Research WUR). You will also interact with data scientists, developers and software engineers from other project partners (e.g. Netherlands eScience Center, SURF, DANS-KNAW, NDFF, NLBIF, Datahuis Wadden).

To truly predict how ecosystems and landscapes will respond to current and future global change, we need to integrate diverse and heterogenous datasets at a landscape scale, including airborne and satellite remote sensing data, cadastral and topographic information, weather and climate data, data from in-situ abiotic sensors, and various biodiversity data (occurrence and abundance data, animal movement, species traits, and species interactions). The LTER-LIFE project will do this by building a user-friendly and secure, cloud-based platform for digital modelling and simulation, and by providing Virtual Research Environments to foster scientific collaboration. The infrastructure will allow scientists to investigate multiple scenarios by integrating (1) long-term data on plants, animals, and the environment, (2) profound ecological knowledge on species and their interactions, (3) advanced modelling that applies Big Data tools on ecological datasets, and (4) high-performance computing and data science techniques. Scientific use cases will centre around developing Digital Twins of ecosystems for the Wadden Sea and the Veluwe.

What are you going to do?
 

You will support the integration of diverse geospatial and environmental data within a Digital Twin virtual research environment at a landscape scale, and the combination with biodiversity data for ecological analysis and modelling in terrestrial ecosystems. In this context, you will customize, analyse and aggregate diverse geospatial datasets from remote sensing or modelled environmental data, such as satellite and airborne remote sensing products, climate and land cover maps, habitat information, nitrogen and pesticide deposition, aerial photographs, meteorological and air quality data, and human infrastructures. To make the geospatial and environmental data relevant for ecological analysis and modelling, the environmental annotation of biodiversity data (e.g. inventories, species occurrences, digital sensor observations) is required to specify the spatial and temporal resolution and buffering of environmental conditions. You will be involved in the work package of the LTER-LIFE project that is dedicated to integrating data and making them FAIR for modelling and Digital Twinning virtual research environment. You will interact with project partners that develop and manage the scientific use cases in the De Hoge Veluwe National Park, an ecosystem consisting of heathlands, sand dunes, and woodlands. You will also interact with other work packages that design the infrastructure services, develop the models and computer codes, and organise capacity building and training for ecologists and environmental scientists.

Tasks and responsibilities:

• Accessing, handling, customizing, and processing diverse geospatial datasets;
• Testing, applying, and prototyping environmental annotation tools for biodiversity data;
• Conducting scientific analyses that integrate environmental data with biodiversity observations;
• Working with ecologists, stakeholders, database managers, data scientists and software engineers to integrate biodiversity and environmental data;
• Contributing to building an inventory of relevant biotic and abiotic datasets and collecting relevant metadata;
• Working together with computer scientists, eScience engineers and stakeholders to establish digital connections to various external data platforms and repositories;
• Writing publications in peer-reviewed journals to present analytical results or developed tools;
• Engaging in training courses for data handling, processing, and visualisation.

What do you have to offer?
 

Your experience and profile:

• • PhD in landscape ecology, ecological informatics, geoscience, environmental science or a closely related field;
• Interest, passion and experience with biodiversity and environmental data at a landscape scale;
• Exceptional quantitative skills and profound experience in scripting/programming (e.g. R, Python) and handling of diverse datasets;
• Willingness to work in a multidisciplinary team (ecology, computer science; software engineering, remote sensing, environmental management);
• Proficiency in scientific writing;
• Ability to speak and communicate in English at an academic level.

Our offer
 

We offer a temporary employment contract for 38 hours per week for a period of 12 months, with the possibility to the extend the contract for another 36 months upon a positive evaluation of your performance. The preferred starting date is as soon as possible.

The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,345 – €  5,278 (scale 10) . This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile Researcher, level 4 (Post doc Researcher) is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.

Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:

• 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
• multiple courses to follow from our Teaching and Learning Centre;
• multiple courses on topics such as leadership for academic staff;
• multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
• 7 weeks birth leave (partner leave) with 100% salary;
• partly paid parental leave;
• the possibility to set up a workplace at home;
• a pension at ABP for which UvA pays two third part of the contribution;
• the possibility to follow courses to learn Dutch;
• help with housing for a studio or small apartment when you’re moving from abroad.

Are you curious to read more about our extensive package of secondary employment benefits, take a look here.

About us

The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 30,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.

The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.

The Institute for Biodiversity and Ecosystem Dynamics  is one of eight research institutes of the Faculty of Science at the University of Amsterdam. The research at IBED aims to unravel how ecosystems function in all their complexity, and how they change due to natural processes and human activities. At its core lies an integrated systems approach to study biodiversity, ecosystems and the environment. IBED adopts this systems approach to ecosystems, addressing abiotic (soil and water quality) and biotic factors (ecology and evolution of plants, animals, and microorganisms), and the interplay between those. The IBED vision includes research encompassing experimental and theoretical approaches at a wide variety of temporal and spatial scales, i.e. from molecules and microorganisms to patterns and processes occurring at the global scale. IBED also works with non-academic partners to deliver transdisciplinary science for society.

The position is embedded in the Department Theoretical and Computational Ecology (TCE) of IBED which focuses on understanding the complexity of ecological systems by using theoretical and advanced computational approaches. A key research focus is to address how organisms cope with changing environmental conditions and how nature and life is distributed across our planet. Within TCE, the position is embedded in the Biogeography & Macroecology (BIOMAC) lab, a research group which aims to quantify how biodiversity and abiotic components of the Earth system vary across space and time, how they interact, and how responses of species and ecosystems to changing environmental conditions can be predicted and forecasted. The group covers a wide variety of scientific backgrounds, including ecology, data science, conservation science, physical geography, Earth science, and global change biology.

Want to know more about our organisation? Read more about working at the University of Amsterdam.

Any questions?

Do you have any questions or do you require additional information? Please contact:

• Dr. W. Daniel Kissling Associate Professor of Quantitative Biodiversity Science

T: +31 (0)20 525 8423 and email W.D.Kissling@uva.nl

Job application

If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below.

We accept applications until and including 15 November 2024.

Applications should include the following information (all files besides your cv should be submitted in one single pdf file):

• a letter of motivation
• a CV (with the months, not just years, when referring to your education and work experience), names of 2(-3) referees, and a list of publications

Only complete applications received within the response period via the link below will be considered.

A knowledge security check can be part of the selection procedure.

(for details: national knowledge security guidelines)

We will invite potential candidates for interviews soon after the closing date.

The UvA is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.

No agencies please.