PHD STUDENT POSITION ON ANTARCTIC VEGETATION ECOLOGY AND REMOTE SENSING Vrije Universiteit Amsterdam. 4 research positions

-




PHD STUDENT POSITION ON ANTARCTIC VEGETATION ECOLOGY AND REMOTE SENSING Vrije Universiteit Amsterdam


4 research positions (2 PhDs and 2 postdocs) will be available at the Department of Ecological Science, for the research project entitled "The Antarctic biota count (ABC): a functional trait-based approach to scale biodiversity from plot to region'', funded by the Netherlands Polar Program (NWO).

Locatie: AMSTERDAM
FTE: 1
JOB DESCRIPTION
The aim of this work package is to quantify the cover of dominant cryptogam groups along the Antarctic Peninsula region. A central question within this package is: 'How much vegetation cover is there along the Antarctic Peninsula?' By linking surveys of vegetation type and cover to remote sensing methods we aim to scale plot measurements to the entire Antarctic Peninsula region. To unravel the mechanism behind species specific reflectance spectra, the intended PhD will also work on physiological aspects and characteristics of the main cryptogam (lichen and moss) groups.

Your duties
Quantify cover of dominant cryptogam groups at various field sites along the Antarctic Peninsula. Use remote sensing techniques to scale plot measurements to regional cover of dominant cryptogam groups along the Antarctic Peninsula
Unravel the morphological/physiological mechanisms behind cryptogam specific reflectance spectra
Make vegetation maps of dominant cryptogam groups along the Antarctic Peninsula
The applicant will present the results at national and international conferences, and contribute to teaching courses
Write four peer-reviewed publications that will be the basis of the PhD thesis
REQUIREMENTS
MSc in Ecological Sciences or comparable, with relevant research experience
Experience with cryptogam ecology/identification is a plus
Experience with remote sensing methods or willingness to learn this
Willingness and physical ability to work in cold and remote Antarctic regions for 2-5 months/year
Proficiency with statistical approaches and use of R
Excellent social skills to work in an interdisciplinary international research team
English language proficiency both in speech and in writing. Please provide evidence for the latter.
WHAT ARE WE OFFERING?
A challenging position in a socially involved organization. The salary will be in accordance with university regulations for academic personnel and amounts €2,395 (PhD) per month during the first year and increases to €3,061 (PhD) per month during the fourth year, based on a full-time employment. The job profile: is based on the university job ranking system and is vacant for at least 1 FTE.

The appointment will initially be for 1 year. After a satisfactory evaluation of the initial appointment, the contract will be extended for a total duration of 4 years.
Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:
a maximum of 41 days of annual leave based on full-time employment
8% holiday allowance and 8.3% end-of-year bonus
a wide range of sports facilities which staff may use at a modest charge
ABOUT VRIJE UNIVERSITEIT AMSTERDAM
The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavour – from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences.

Vrije Universiteit Amsterdam is home to more than 26,000 students. We employ over 4,600 individuals. The VU campus is easily accessible and located in the heart of Amsterdam's Zuidas district, a truly inspiring environment for teaching and research.

Diversity
We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences.

The Faculty of Science
The Faculty of Science inspires researchers and students to find sustainable solutions for complex societal issues. From forest fires to big data, from obesity to medicines and from molecules to the moon: our teaching and research programmes cover the full spectrum of the natural sciences. We share knowledge and experience with leading research institutes and industries, both here in the Netherlands and abroad.

Working at the Faculty of Science means working with students, PhD candidates and researchers, all with a clear focus on their field and a broad view of the world. We employ more than 1,250 staff members, and we are home to around 6,000 students.
About the department, institute, project
The Department of Ecological Science (DES) answers fundamental ecological and evolutionary questions regarding the relationship between organisms and their environment at the full array of hierarchical levels: from molecular ecology to ecosystem research. The department comprises a dynamic community of researchers and provides an excellent research environment with state-of-the-art facilities and high quality training.

The overall aim of this project is to deliver spatially explicit data on terrestrial biodiversity along the Antarctic Peninsula for evidence-based systematic conservation planning. Each research position has its own objectives but by combining the data from each work package, we aim to deliver a comprehensive status of the current vegetation and associated biodiversity patterns. This will form a data-driven approach to Antarctic conservation planning and provide a baseline to which future changes can be monitored. The project will be run in close collaboration with the British Antarctic Survey (UK), University of Birmingham (UK) and the University of Insubria (Italy).
APPLICATION
Are you interested in this position? Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae and the names of one or two references. Applications (mention the vacancy number) should be sent before November 10th, 2020 to the attention of Prof. Dr. Hans Cornelissen.

Applications received by e-mail will not be processed.

Vacancy questions
If you have any questions regarding this vacancy, you may contact:

Name: Prof.dr. J.H.C. (Hans) Cornelissen
or
Name: Dr. S.F. (Stef) Bokhorst
Phone number +31 (0)20 5987078 




Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://www.facebook.com/Applied.Geography
http://geogisgeo.blogspot.com

Comments

Post a Comment

Popular posts from this blog

Spatial feature manipulation in remote sensing

-
Image
Spatial feature manipulation in remote sensing refers to the process of altering or modifying the spatial characteristics of a particular feature in an image or data set. This can be done for a variety of reasons, such as to improve the accuracy or clarity of the image, to enhance the interpretability of the data, or to extract specific information from the image. One common method of spatial feature manipulation is resampling, which involves changing the resolution or spatial extent of an image. This can be done to match the resolution of other data sets, to reduce the size of the image for faster processing, or to increase the resolution for greater detail. Another technique is spatial filtering, which involves applying mathematical operations to the image data to remove noise or highlight specific features. This can be done using convolution filters, which apply a pre-defined mathematical function to the image data, or using image enhancement techniques, such as contrast stretching
Read more

Grey level thresholding. Level slicing. Contrast stretching lo p

-
Image
Grey level thresholding. Level slicing. Contrast stretching. Image enhancement Lillesand and Kiefer (1994) explained the goal of image enhancement procedures is to improve the visual interpretability of any image by increasing the apparent distinction between the features in the scene. This objective is to create "new" image from the original image in order to increase the amount of information that can be visually interpreted from the data. Enhancement operations are normally applied to image data after the appropriate restoration procedures have been performed. Noise removal, in particular, is an important precursor to most enhancements. In this study, typical image enhancement techniques are as follows: Grey level thresholding Grey level thresholding is a simple lookup table, which partitions the gray levels in an image into one or two categories - those below a user-selected threshold and those above. Thresholding is one of many methods for creating a binary mask for an i
Read more

Spatial filtering, Remote Sensing. Low-pass filter. High-pass filter

-
Spatial filtering encompasses another set of digital processing functions which are used to enhance the appearance of an image. Spatial filters are designed to highlight or suppress specific features in an image based on their spatial frequency. Spatial frequency is related to the concept of image texture. It refers to the frequency of the variations in tone that appear in an image. "Rough" textured areas of an image, where the changes in tone are abrupt over a small area, have high spatial frequencies, while "smooth" areas with little variation in tone over several pixels, have low spatial frequencies. A common filtering procedure involves moving a 'window' of a few pixels in dimension (e.g. 3x3, 5x5, etc.) over each pixel in the image, applying a mathematical calculation using the pixel values under that window, and replacing the central pixel with the new value. The window is moved along in both the row and column dimensions one pixel at a time and the ca
Read more