Three post-doctoral fellowships at the Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Science (FFWS CZU)
We are opening three postdoc positions allowing the candidates to be a part of well-established research teams, with significant potential for high-merit publications, and developing their scientific careers. Our research teams are committed to strong post-doctoral mentoring, career and leadership development, and recruitment of diverse candidates.
Ecosystem Modelling
We seek a post-doctoral scholar focusing on process-based ecosystem modelling, particularly the interactions of climate change, management, and natural disturbances in Central European forests. The successful applicant will join the Global Change Research Group CULS (https://twitter.com/GCRGculs, https://www.researchgate.net/lab/Global-Change-Research-Group-CULS-Prague-Tomas-Hlasny) at the FFWS CZU and will be involved in (but not exclusively) the H2020 Project RESONATE (https://resonateforest.org/).
The main tasks in this position are:
- using the landscape-scale model iLand (https://iland-model.org/startpage) and/or the stand-scale mode BiomeBGCMuSo (http://nimbus.elte.hu/bbgc/) for addressing research questions related to climate change impacts, social-ecological resilience, long-term effects of management on forest ecosystems and ecosystem services, etc.;
- statistical analyses and data processing in R-language;
- actively participating in scientific publications;
- maintaining international collaboration.
A Ph.D. in environmental science, ecology, forestry, or related areas is required. The required qualification includes experience with R, data management, and statistics. Experience with process-based ecosystem modelling is an advantage. A high-quality spoken and written English is necessary.
To apply, contact prof. Tomáš Hlásny by e-mail (hlasny@fld.czu.cz) that includes your CV containing your qualifications, working experience, and publication record. A short motivation letter (1 page) justifying your interest in and fitness for this position is required too. The selected applicants will be invited to the interview.
Remote Sensing in Forestry
We are looking for a post-doctoral scholar focusing on the use of remote sensing technologies for forest inventory, forest growth estimation, and the use of this data for supporting management decisions. We work with cutting-edge technologies in remote sensing, including multispectral lidar, hyperspectral and multispectral airplane and drone-based imagery, as well as a wide range of satellite data. The successful candidate will participate in several international projects, such as Map4Health, Reforest, and 3DForEcoTech.
https://www.chistera.eu/projects/4map4health
https://www.fld.czu.cz/en/r-9417-projects-and-partnerships/r-12439-news-projects-and-partnerships/reforest-agroforestry-at-the-forefront-of-sustainable-agricu.html
https://3dforecotech.eu/
The main tasks in this position are:
- processing and analyzing remote sensing data for forest inventory objectives, such as tree positions and single-tree metrics as well as using the area-based approach;
- estimating forest changes using lidar and other data types;
- developing state-of-the-art data processing workflows implementing machine learning techniques;
- working with terrestrial lidar-based methods, including a static and mobile laser for tree metrics assessment;
- actively participating in scientific publications;
- maintaining international collaboration.
A Ph.D. in environmental science, ecology, forestry, or related areas is required. The required qualification includes experience with R, data management, statistics and remote sensing. A high-quality spoken and written English is necessary.
To apply, contact assoc. prof. Peter Surový by e-mail (surovy@fld.czu.cz) that includes your CV containing your qualifications, working experience, and publication record. A short motivation letter (1 page) justifying your interest in and fitness for this position is required too. The selected applicants will be invited to the interview.
Forest Management
We are looking for a post-doctoral scholar focusing on close-to-nature forest management models, multicriteria decision analysis, risk, and uncertainty in forest management planning, and spatial harvest scheduling. The successful candidate will be involved in (but not exclusively) the H2020 Project SUPERB (https://forest-restoration.eu/).
The main tasks in this position are:
- using mathematical optimization, heuristic methods, and multicriterial decision analysis to optimize close to nature forest management planning with respect to the provision of different ecosystem services;
- conducting statistical data analyses, including spatial statistics;
- actively participating in scientific publications;
- maintaining international collaboration.
A Ph.D. in environmental science, forestry, mathematical programming or related areas is required. The required qualification includes experience with data management, GIS, statistics, and mathematical optimization. A high-quality spoken and written English is necessary.
To apply, contact prof. Róbert Marušák by e-mail (marusak@fld.czu.cz) that includes your CV containing your qualifications, working experience, and publication record. A short motivation letter (1 page) justifying your interest in and fitness for this position is required too. The selected applicants will be invited to the interview.
Final information
The deadline for the applications is July 15, 2022
The expected start date is October 1st, 2022, but there is considerable flexibility in this regard.
These are full-time positions with a one-year appointment with a possible extension.