Postdoctoral position in the field of Remote Sensing of vegetation
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The Department of geosciences and natural resource management offers a two-year Postdoctoral position in the field of Remote Sensing of vegetation Department of geosciences and natural resource management offers a two-year, with a specific focus on tree cover in drylands using very high resolution satellite imagery and machine learning.
Project description:
Drylands cover large parts of the terrestrial land surface but their tree cover and carbon stocks are largely unknown. Large proportion of dryland trees grow isolated without canopy closure and most scientific interest is devoted to forests, while the density and size of trees outside of forests is not well documented. However, non-forest trees play a crucial role for biodiversity and provide ecosystem services such as carbon storage, food resources, livelihoods and shelter for humans and animals and the economic and ecological importance of non-forest trees is largely unknown at large scale.
The project works towards a wall-to-wall identification of trees in global drylands, and development of methods to study their carbon stocks and socio-environmental determinants. Trees are not only assessed as canopy fraction of an area, but as individuals, allowing to identify not only their coverage but also their density, crown size, and key ecological services. Very high resolution satellite data will be applied in conjunction with fully convolutional neural networks and field surveys. Complementary, passive microwave data will be used to develop dynamic canopy cover and carbon density products.
The aim of the Postdoctoral position is to develop a framework on the assessment of individual trees across African drylands based on PlanetScope data.
The applicant must be prepared for undertaking fieldwork in Sub-Saharan Africa.
The position will be an integral part of a 4 year research project financed by DFF: “Mapping, characterizing and analyzing individual trees and shrubs outside forests in African drylands”, and integrated in the 5 year research project entitled: “DeReEco: Deep Learning and Remote Sensing for Unlocking Global Ecosystem Resource Dynamics” financed by the Velux Foundations.
Eligible candidates:
Work environment
Your work place will be the Department of Geosciences and Natural Resource Management (IGN), which conducts research and education on the past, present and future physical, chemical and biological environments of the Earth and their interactions with societal and human systems to provide graduates and research in support of sustainable future solutions for society. The department has strong experience in interdisciplinary collaboration within and beyond the department.
Further information on the Department can be found at http://www.science.ku.dk/english/about-the-faculty/organisation/.
Inquiries about the position can be made to Professor Rasmus Fensholt (e-mail: [email protected]) or Assistant Professor Martin Brandt ([email protected]).
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Terms of employment
The position is open for appointment starting from 1 July 2020 or as soon as possible hereafter.
The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
The starting salary is currently up to DKK 437.843 including annual supplement (+ pension up to DKK 74.871). Negotiation for salary supplement is possible.
The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
Please include
The deadline for applications is 13 May 2020, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.
Kilde: Jobnet.dk
Project description:
Drylands cover large parts of the terrestrial land surface but their tree cover and carbon stocks are largely unknown. Large proportion of dryland trees grow isolated without canopy closure and most scientific interest is devoted to forests, while the density and size of trees outside of forests is not well documented. However, non-forest trees play a crucial role for biodiversity and provide ecosystem services such as carbon storage, food resources, livelihoods and shelter for humans and animals and the economic and ecological importance of non-forest trees is largely unknown at large scale.
The project works towards a wall-to-wall identification of trees in global drylands, and development of methods to study their carbon stocks and socio-environmental determinants. Trees are not only assessed as canopy fraction of an area, but as individuals, allowing to identify not only their coverage but also their density, crown size, and key ecological services. Very high resolution satellite data will be applied in conjunction with fully convolutional neural networks and field surveys. Complementary, passive microwave data will be used to develop dynamic canopy cover and carbon density products.
The aim of the Postdoctoral position is to develop a framework on the assessment of individual trees across African drylands based on PlanetScope data.
The applicant must be prepared for undertaking fieldwork in Sub-Saharan Africa.
The position will be an integral part of a 4 year research project financed by DFF: “Mapping, characterizing and analyzing individual trees and shrubs outside forests in African drylands”, and integrated in the 5 year research project entitled: “DeReEco: Deep Learning and Remote Sensing for Unlocking Global Ecosystem Resource Dynamics” financed by the Velux Foundations.
Eligible candidates:
- The applicants should hold a PhD degree in Geography & Geoinformatics or related fields.
- Proficiency in spoken/written English, including skills in academic writing and publishing in peer-reviewed journals are essential. It is considered an advantage if candidates have proven records of innovative remote sensing-based work in drylands
- Candidates with a strong background in remote sensing, vegetation monitoring, land use and land cover change (LULCC), cloud computing and time series analysis will be preferred.
- Candidates should have strong quantitative skills (statistics and land-use modeling) and have experience with one or more script languages (preferably Python) as well as having proven experience with handling, processing and analyzing large EO datasets.
- Candidates should be open for learning and applying new machine learning techniques.
- Prior field data collection experience in drylands of the Global South is preferred.
Work environment
Your work place will be the Department of Geosciences and Natural Resource Management (IGN), which conducts research and education on the past, present and future physical, chemical and biological environments of the Earth and their interactions with societal and human systems to provide graduates and research in support of sustainable future solutions for society. The department has strong experience in interdisciplinary collaboration within and beyond the department.
Further information on the Department can be found at http://www.science.ku.dk/english/about-the-faculty/organisation/.
Inquiries about the position can be made to Professor Rasmus Fensholt (e-mail: [email protected]) or Assistant Professor Martin Brandt ([email protected]).
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Terms of employment
The position is open for appointment starting from 1 July 2020 or as soon as possible hereafter.
The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
The starting salary is currently up to DKK 437.843 including annual supplement (+ pension up to DKK 74.871). Negotiation for salary supplement is possible.
The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
Please include
- Cover Letter
- Research Plan
- Curriculum vitae
- Diplomas (Master and PhD degree or equivalent)
- Complete publication list
- Separate reprints of particularly relevant papers (maximum 3)
The deadline for applications is 13 May 2020, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i København K.
Jobbet er oprettet på vores service den 28.4.2020, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- København K
- Onsdag den 13. maj 2020
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