The Institute for Biodiversity and Ecosystem Dynamics
(IBED) at the University of Amsterdam is opening up several new positions to collaboratively further strengthen the research within the institute.
The research is carried out as a collaboration between the four research departments at IBED:
- Ecosystem and Landscape Dynamics (ELD)
- Evolutionary and Population Biology (EPB)
- Freshwater and Marine Ecology (FAME)
- Theoretical and Computational Ecology (TCE)
For one of the positions, embedded in the TCE department, we are looking for a newAssistant or Associate Professor in Land Cover & Land Use Dynamics (0.8 - 1.0 FTE)
focusing on developing and applying models and spatio-temporal data analytics for understanding and predicting the impact of land cover and land use change on biodiversity, ecosystem services or animal habitats.
Ongoing changes in land cover and land use have a major impact on our planet. In the Institute for Biodiversity and Ecosystems Dynamics at the University of Amsterdam we want to improve our understanding of the consequences of these changes for biodiversity, ecosystem dynamics, and ecosystem services.
Are you a researcher combining diverse Earth Observation datasets (e.g. satellite, lidar and/or radar) with advanced spatio-temporal modelling, informatics and artificial intelligence to gain new insights into the current and future consequences of human activities for species and their habitats?
Then join us at the Department of Theoretical and Computational Ecology (TCE).Profile Assistant or Associate Professor Land cover dynamics
We are looking for an innovative scientist who uses computationally intensive ecological and environmental research (e.g. data mining, big data analysis, and spatio-temporal modeling) in combination with remote sensing (e.g. satellite, airborne and/or drone data) and biodiversity data (e.g. from structured monitoring programs, vegetation surveys, citizen science, wildlife and insect cameras, acoustic sensors, or bird radars) to address how land use and land cover changes impact biodiversity, ecosystem services and animal habitats. Potential linkages with biodiversity and ecosystem research elsewhere in IBED would be welcome. With skills in remote sensing and big data analytics, the successful candidate can enhance our education at both the BSc and MSc in relation to the use of geospatial analyses and AI tools for environmental, biodiversity and ecosystem research. The research should preferably contribute to innovative approaches at the science-policy interface, e.g. the digital mapping of habitat quality and habitat condition in the context of the EU Biodiversity Strategy for 2030, or the development of Digital Twin infrastructure for modelling and forecasting changes in biodiversity.Introduction to the department of Theoretical and Computational Ecology
This position will be embedded within IBED's Department of Theoretical and Computational Ecology
However, it is anticipated that the successful candidate would have the potential to develop linkages to other departments within IBED and elsewhere in the university.
Research in the Department of Theoretical and Computational Ecology addresses the complexity of ecological systems in terms of processes, patterns, diversity and functioning. We strive to understand abiotic and biotic drivers of global biodiversity, animal movement and dynamics of ecological communities using advanced theoretical and computational approaches. We address how organisms cope with changing environmental conditions and how nature and life is distributed across our planet. Our research also addresses societal challenges related to sustainable development (e.g. wind energy development), human-wildlife interactions and biodiversity decline.
Our research is organized along three main areas:
Theoretical ecology and evolution where we advance ecological theory through mathematical developments, conceptual structures, and theoretical syntheses
Animal movement and behavioral ecology where we advance understanding of intrinsic and external causes and consequences of animal movement and apply our knowledge to address human wildlife conflicts
Biogeography & macroecology where we quantify how biodiversity and abiotic components of the Earth system interact and vary across space and time, and how responses of species and ecosystems can be predicted and forecasted.
We conduct computationally intensive research through mathematical modelling, spatial explicit modelling, big data analysis, machine learning, development of e-science infrastructure and virtual labs. Our research directly and indirectly contributes to scientifically informed policies. We have been instrumental in developing new methods and analytical approaches for bio-logging, combining GPS and accelerometry (www.uva-bits.nl
), as well as radar monitoring of animal movement. Our facilities include the UvA Bird Tracking System
, two BirdScan radars (bird/insect radars), an operational weather radar data pipeline for ecological research, virtual laboratories for ecological research including centralized databases, a GIS studio, demonstration sites in the biodiversity monitoring infrastructure NIEBA ARISE
and UvA-FNWI high performance computing facilities
. Furthermore, IBED has a computational support team
.Research profile (~50% of the time)
The successful candidate will perform cutting edge research in developing and applying models and spatio-temporal data analytics for understanding and predicting the impact of land cover and land use change on biodiversity, ecosystem services and habitat quality and condition. This will require integrating diverse types of data such as species distributions, biodiversity inventories or aerial biomass flows derived from various digital and in-situ observational sources with remote sensing observations from satellites (e.g. Copernicus Earth observation programme) or airborne and drone imagery. Depending on the expertise of the candidate, the emphasis may lie on a regional, continental or global scale, or a combination across scales. The successful candidate will be able to demonstrate an ability, and enthusiasm, to collaborate with experts already present within IBED, both within the TCE department and our other departments.Key research responsibilities include:
- Develop and establish a research line with a focus on land use impacts on ecosystems by using computational approaches in combination with remote sensing and big biodiversity and environmental data resulting in publications in leading academic journals
- Supervise research of PhD candidates and postdocs
- Acquire external funding to sustain and expand your research line.
- Actively pursue collaborations with relevant stakeholders inside and outside academia.
- Contribute to scientific outreach and /or societal engagement
On average, IBED staff contribute 30-40% of their time to education, including lecturing and supervising of BSc and MSc students in one or more of the core programs we are involved in: BSc Future Planet studies, BSc Biological Sciences, MSc Earth Sciences, MSc Biological Sciences. Depending on the expertise there are possibilities for contributing to education in new programs in FNWI such as Science and Design. We are searching for a candidate that will contribute to and develop computational learning lines in the core programs we are involved in. Examples of courses to contribute to include: Remote Sensing
, Digital Earth
, GIS/RS Science in Ecosystem Dynamics
, Biodiversity and Global Change Biodiversiteit en Ecologie
, Dynamische systemen in de Biologie
and Toekomstperspectief voor de Aarde
. Furthermore, the candidate is expected to supervise individual BSc and MSc student projects. Staff members are also expected to contribute to the organization of educational programs (e.g. serve as committee members on education or exam committees).
Staff members are also expected to contribute approximately 10% to organisational tasks at the institute or faculty level, such as involvement in educational programs (e.g. serve as committee member or in examination boards). The overall balance of the work load for this position will be approximately 50% research, 40% education, and 10% administration.