Skip to main content

PhD fellow in Earth Observation of terrestrial ecosystem stability to climate extremes Københavns Universitet - University of Copenhagen



PhD fellow in Earth Observation of terrestrial ecosystem stability to climate extremes Københavns Universitet - University of Copenhagen


The Department of geosciences and natural resource management is offering a PhD scholarship in Earth Observation and ecosystem science, with a focus on studying large-scale vegetation die-offs using high to very high-resolution satellite imagery.

'Living well, within the limits of our planet' is the overarching goal of the United Nations Sustainable Developments Goals. Underneath this initiative lie vital concerns related to ongoing non-sustainable changes in the global Earth System and their implications for our society. Climate extremes have been responsible for large-scale shifts in ecosystem functioning, biodiversity loss and loss in ecosystem services, and projections show that extreme events will increase in the near future. Despite the significance of such environmental pressures, major gaps remains regarding our understanding of the resilience of global terrestrial ecosystems to climate change and extremes events.

The PhD position is part of the newly funded 'DRYTIP' project (5 years), financed by the VILLUM FONDEN and lead by Associate Professor Stéphanie Horion. The project aims at advancing fundamental and technical knowledge related to drought-induced vegetation die-offs by coupling insights from Earth observation (EO), Dynamic Vegetation Model and Field ecology.

The role of the PhD student will be (1) to investigate a global set of drought-induced vegetation die-offs combing field data with climate and EO proxies; and (2) to develop advanced EO based methods to monitor vegetation die-offs and quantify ecosystem stability to climate extremes (i.e. ecosystem response to disturbance and recovery potential). The project includes fieldwork to key case studies and international research stay.

Principal supervisor is associate professor Stephanie Horion, Department of Geoscience and Natural Resource Management, smh@ign.ku.dk. Co-supervisor is professor Claus Beier, Head of Department of Geoscience and Natural Resource Management, cb@ign.ku.dk.

The position is open from 1 August 2021 or as soon as possible thereafter.

Job description
The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE are:

To manage and carry out your research project
Attend PhD courses
Write scientific articles and your PhD thesis
Teach and disseminate your research
To stay at an external research institution for a few months, preferably abroad
Work for the department and take part in IGNs PhD-community
Formal requirements
Applicants should hold an MSc degree in Geography, Geoinformatics, Environmental Sciences, or related. We are seeking a highly motivated and ambitious individual with good interpersonal and communication skills. Fluency in spoken and written English is a requirement. As criteria for the assessment, emphasis will also be laid on previous publications (if any), relevant experience in remote sensing and ecology, as well as on programming skills (e.g. r, python). Fieldwork experience and experience with dense time series of remote sensing and climate data are an advantage.

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 https://ign.ku.dk/english/.

Terms of employment
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 at a minimum DKK 330,817 (approx. €44,108) including annual supplement (+ pension at a minimum DKK 53,811). Negotiation for salary supplement is possible.

Application Procedure
The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

A cover letter (1 page) describing your background, personal qualities, research interest and motivation for applying for this position
CV (max 2 pages)
Diploma and transcripts of records (BSc and MSc)
Other information for consideration, e.g. list of publications (if any)
A short abstract of the MSc Thesis (max. 300 words)
1-3 reference letters (if any)
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is 15 April 2021, 23:59 GMT +2.

Procedure and Shortlisting
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.

The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at the PhD school of Science. You can read more about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Inquiries about the position can be made to Associate Professor Stephanie Horion (smh@ign.ku.dk).

General information about PhD programmes at SCIENCE is available at https://www.science.ku.dk/phd.




Vineesh V
Assistant Professor of Geography,
Government College Chittur, Palakkad
Government of Kerala.
https://vineesh-geography.business.site

Comments

Popular posts from this blog

REMOTE SENSING INDICES

Remote sensing indices are band ratios designed to highlight specific surface features (vegetation, soil, water, urban areas, snow, burned areas, etc.) using the spectral reflectance properties of the Earth's surface. They improve classification accuracy and environmental monitoring. 1. Vegetation Indices NDVI – Normalized Difference Vegetation Index Formula: (NIR – RED) / (NIR + RED) Concept: Vegetation reflects strongly in NIR and absorbs in RED due to chlorophyll. Measures: Vegetation greenness & health Uses: Agriculture, drought monitoring, biomass estimation EVI – Enhanced Vegetation Index Formula: G × (NIR – RED) / (NIR + C1×RED – C2×BLUE + L) Concept: Corrects for soil and atmospheric noise. Measures: Vegetation vigor in dense canopies Uses: Tropical rainforest mapping, high biomass regions GNDVI – Green Normalized Difference Vegetation Index Formula: (NIR – GREEN) / (NIR + GREEN) Concept: Uses Green instead of Red ...

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl...

Landsat band composition

Short-Wave Infrared (7, 6 4) The short-wave infrared band combination uses SWIR-2 (7), SWIR-1 (6), and red (4). This composite displays vegetation in shades of green. While darker shades of green indicate denser vegetation, sparse vegetation has lighter shades. Urban areas are blue and soils have various shades of brown. Agriculture (6, 5, 2) This band combination uses SWIR-1 (6), near-infrared (5), and blue (2). It's commonly used for crop monitoring because of the use of short-wave and near-infrared. Healthy vegetation appears dark green. But bare earth has a magenta hue. Geology (7, 6, 2) The geology band combination uses SWIR-2 (7), SWIR-1 (6), and blue (2). This band combination is particularly useful for identifying geological formations, lithology features, and faults. Bathymetric (4, 3, 1) The bathymetric band combination (4,3,1) uses the red (4), green (3), and coastal bands to peak into water. The coastal band is useful in coastal, bathymetric, and aerosol studies because...

Landsat 8 Band designation and Band Combination.

Landsat 8 Band designation and Band Combination.  Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Bands Wavelength (micrometers) Resolution (meters) Band 1 - Coastal aerosol 0.43-0.45 30 Band 2 - Blue 0.45-0.51 30 Band 3 - Green 0.53-0.59 30 Band 4 - Red 0.64-0.67 30 Band 5 - Near Infrared (NIR) 0.85-0.88 30 Band 6 - SWIR 1 1.57-1.65 30 Band 7 - SWIR 2 2.11-2.29 30 Band 8 - Panchromatic 0.50-0.68 15 Band 9 - Cirrus 1.36-1.38 30 Band 10 - Thermal Infrared (TIRS) 1 10.6-11.19 100 Band 11 - Thermal Infrared (TIRS) 2 11.50-12.51 100 Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://www.facebook.com/Applied.Geography http://geogisgeo.blogspot.com

Scattering

Scattering