Postdoc Position

Il y a 3 mois

Gent, Belgique Universiteit Gent Temps plein

**Faculty of Bioscience Engineering**:

- **Department: BW20 - Omgeving**:

- **Occupancy rate:100%**:

- **Number of positions: 1**:

- **Type of employment: Contract of unlimited duration with clause**:

- **Term of assignment**:

- **Wage scale: PD1 to PD4 (doctoral degree)**:

- **Required diploma:PhD**

***

**Postdoc position (vegetation modeller)**:
This position is opened at Q-Forestlab (UGent) in the framework of the Belspo research project AFRO-CARDS: “African Forest RecOvery and CArbon Dynamics monitoring through Remote Sensing”.

**ABOUT GHENT UNIVERSITY**

Ghent University is a world of its own. Employing more than 15,000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 80 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

**YOUR TASKS**

Applications are invited for a postdoctoral research position in the field of vegetation modelling at the research group Q-Forestlab (UGent) in the framework of the Belspo research project: “African Forest RecOvery and CArbon Dynamics monitoring through Remote Sensing”.

At least 70% of your assignment will be spent on academic research.

**Project - **Context: The Congo Basin plays a pivotal role in the global carbon cycle. However, increasing human disturbance due to the huge population expansion is generating large uncertainties in the regional carbon balance. This uncertainty mainly stems from a lack of understanding of forest regrowth trajectories. Objective: A fundamental gain in our comprehension of the recovery of the Congo rainforests and of its functions (functional biodiversity, carbon storage and sink) following slash-and-burn agriculture (here-after referred to as “post-disturbance”), to improve the ongoing and projected changes in the regional carbon balance of African tropical forests. Research hypothesis: Our central research hypothesis is that the recovery rates of carbon and functional diversity in regrowth forests are strongly affected by environment (climate and soil) and land-use history (past disturbances). However, we lack the fundamental understanding of the importance of those drivers to constrain current vegetation models. The lack of understanding these dynamics substantially undermines our capacity to assess and monitor the current and future regional (central African) carbon balance. We urgently need a step-change in our comprehension of the forest functioning post-disturbance, especially in a context of intensifying anthropogenic pressure and under a changing climate. Building this understanding is only possible through integrating forest observations at multiple spatial and temporal scales (from leaf traits to satellite remote sensing), coordinated with the development of Land Surface Models specifically calibrated on those ecosystems. Methodology: The consortium built for this STEREO project combines the unique expertise of multiple partners who have been working for decades on the Congo Basin. It will allow - for the first time - bridging the gap between empirical on-the-ground work, which is critical to understanding the underlying mechanisms, and satellite remote sensing, necessary to upscale and map the observed changes through a detailed proxy-sensing approach based on UAV (drone) monitoring. All those observations will feed Land Surface Models, which are the current gold-standard tool to project the fate of ecosystems in a changing world. Expected outcome: A state-of-the-art monitoring tool and products that assess landscape-level recovery dynamics across the basin; A new reference model for projecting the impacts of climate change and anthropogenic pressure on tropical forest functions.

**WHAT WE ARE LOOKING FOR**
- You hold a thesis-based doctorate (obtained max. 6 years ago. This term of 6 years is determined by the date written on the above-mentioned required diploma).
- A PhD degree in a relevant field (such as Bio-Engineering, Physics, Geosciences, Environmental sciences, Computer Science Engineering)
- Knowledge of software development is required: fluent in programming with FORTRAN or C++, and postprocessing languages (Matlab, R, python)
- Familiar with the linux/unix environment and handling large (remote sensing) datasets.
- A good command of English, both written and oral demonstrated by good-quality publications in scientific journals and conferences
- Motivation to write high-level scientific publications
- Willingness to collaborate and be a team player with good communication skills
- A keen interest in tropical forest ecology. A background in this field is an asset
- Experience with vegetation modelling, Earth system modelling,

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