The project aims at understanding past, ongoing, and future shrubs dynamics by linking locally observed differences in shrub cover, productivity, growth and recruitment, with satellite- and drone-based remote sensing data collected across Greenland. Comparing local and remotely-sensed patterns of shrub dynamics across strong climatic gradients is highly important for improving our understanding of the potential biodiversity and ecosystem consequences of arctic shrub dynamics. The project builds on local observations and drone-based remotely sensed data collected at more than 15 sites across Greenland as well as satellite based remote sensing products. In addition, further data will be collected on Disko island, Greenland in summer 2019.
We are seeking a candidate trained in analyzing remote sensing data (satellite, airborne and drone-based) which has strong skills in advanced statistical modeling, machine learning, and profound knowledge and interest in community ecology and vegetation dynamics. Documented skills in vegetation classification and point-cloud analyses as well as programming in R and Python are an advantage. Experience with Arctic-Alpine ecosystems and drone-based fieldwork in Arctic-Alpine areas is an advantage, but not a prerequisite.
The postdoc will be part of the Vegetation Dynamics Group and the UAS4Ecology lab at the Section for Ecoinformatics and Biodiversity (ECOINF) and the Center for Biodiversity Dynamics in a Changing World (BIOCHANGE). In addition, the post doc will be affiliated with the Arctic Research Center and the Interdisciplinary Center for Climate Change Research at Aarhus University. Hence, the candidate will be working in a world-leading and dynamic research environment with ample opportunities to interact with other researchers nationally, as well as internationally, on related topics. The project is led by Associate Professor Signe Normand.
Candidates should have obtained a PhD in remote sensing, ecology, or other related fields. The successful candidate must document a strong research record as well as a broad knowledge of the field of satellite- and drone-based remote sensing.
The position is expected to be filled by the 1th of January 2019 or as soon as possible here after.
Applicants are encouraged to seek further information by contacting Signe Normand, email@example.com, +45 23718009.
Further information can be found at http://www.signenormand.net, http://bios.au.dk/om-instituttet/organisation/oekoinformatik-biodiversitet/projects/biochange/, and twitter @SigneNormand, @VegDyn, @UAS4Ecology, @ECOINF, @BIOCHANGE.
Place of Work and area of Employment
The place of work is Ny Munkegade 116, 8000 Aarhus C, and the area of employment is Aarhus University with related departments.
Shortlisting is used. This means that after the deadline for applications and with the assistance from the assessment committee chairman, and the appointment committee if necessary, the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants, including the main considerations emphasized during the selection process.
Formalities and salary range
Science and Technology refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.
The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.
Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities. Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.
All interested candidates are encouraged to apply, regardless of their personal background. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.
Aarhus University offers Relocation service to International researchers. You can read more about it here.
All applications must be made online and received by: 30.11.2018