Assistant Professor in "Big Data Analytics for Natural Resources"
University of Twente
Universidad Estatal (Países Bajos), Examinar oportunidades similares
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Universidad Estatal (Países Bajos), Examinar oportunidades similares
Methods for handling, storing, analysing, and retrieving information from big data are becoming increasingly important for applications in natural resources such as agriculture, biodiversity and environmental monitoring, forest management, and food security.
The activities of our department are expanding to address new opportunities in applying increasing volumes of remotely sensing imagery and ancillary GIS data layers for natural resource management at regional, continental, and global levels. We specialise in using large volumes of image data derived from remote sensing that characterise the physical properties of vegetation and the environment from individual leaves, to landscape/ecosystem, and even global levels. Exploiting and modelling these increasingly large volumes of data to inform end users fills important gaps in our understanding of vegetation condition, biodiversity and environmental monitoring, forest management and food security and contribute to new approaches for upscaling and exploiting these data. This position will complement and expand existing expertise in the NRS department.
You will develop research and teaching that focuses on handling, processing, and upscaling large volumes of spatial and temporal information at local to global levels requiring experience in the domain of natural resources. The position requires expertise in Artificial Intelligence approaches for mining and analysing as well as developing large database applications in the natural resources domain (e.g., forest and natural area ecosystem structure & ecosystem function, and deriving crop productivity parameters).
You will develop a research profile and network in this domain. You will conduct research in collaboration with staff and as a co-supervisor of PhD candidates. You will contribute to grant/project acquisition and to project deliverables related to the department’s research themes and geographic focus areas. You will contribute to ITC education programmes at MSc level including the development, coordination, teaching, and supervision of topics such as the theory and practice of big data, the theory of advanced computer processing algorithms, as well as developing applications for assessing large data for natural resource management.
You are excited to work in an international team with project activities around the world. The position will be a point of contact with ITC's Centre of Expertise in Big Geodata Science. ITC, and this position, are focused on collaboration to develop high-quality research outputs that demonstrate the societal impact of big data and open science.
You have:
The following are an advantage but can also be developed over time.
We offer an inspiring and challenging international environment. You will be initially employed for four years. Prolongation of the contract after this period is possible.
Additional information about this position can be obtained from Prof. Dr. A. Skidmore (e-mail: a.k.skidmore@utwente.nl). You are also invited to visit our homepage.
Please submit your application before 1 March 2021 (choose “apply here” below). Your application must include (i) a motivation letter outlining your research and teaching interests and (ii) a CV with references.
The Department of Natural Resources aims to enable society to effectively develop and use geo-information and Earth observation knowledge and technologies for agricultural and environmental sustainability. These information sources and methods are used in novel ways to understand and characterise the processes that affect the availability, stability, quality, and sustainability of natural resources. The outputs contribute to better monitoring and managing of natural resources which in turn enables their sustainable use, development, and restoration under global change.
The Faculty of Geo-Information Science and Earth Observation (ITC)
The Faculty of Geo-Information Science and Earth Observation (ITC) provides international postgraduate education, research and project services in the field of geo-information science (GIS) and earth observation. We use remote sensing and GIS for collecting spatial data. Our aim is to contribute to the international exchange of knowledge, focusing on capacity building and institutional development in developing countries and emerging economies. As part of a ‘people-first' university of technology, we ensure that everything we do is aimed at maximum impact on people and society through the sustainable utilisation of science and technology. We also seek to sustain and expand our role as a leader in academic social entrepreneurship.
As an employer, the ITC Faculty offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With our Faculty, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customizable conditions.
University of Twente (UT)
University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As ‘the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.
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