Post-doc
Postdoctoral researcher in data analysis of global food systems and their impacts
Contexte
Work environment
The selected candidate will be part of an international collaboration network for the FLORA project. At ENS, they will mainly interact with colleagues from the two laboratories at the Department of Geosciences: Geology Lab (LG ENS) and Dynamic Meteorology Lab (LMD), as well as with the interdisciplinary Centre on Environment and Society (CERES).
Both labs are parts of the interdisciplinary research federation Institut Pierre Simon Laplace (IPSL); a unique place for scientific exchange at the intersection of many areas of expertise in environment. Notably, this enables the team to use supercomputers and databases of the IPSL global climate model simulations.
ENS and CNRS are equal opportunity employer. We are committed to building an inclusive and diverse research community and we encourage applications by members of all underrepresented groups.
Hiring process
- Applications will be reviewed starting 21st October 2024 and until the position is filled.
- Pre-selected candidates will be invited to an interview.
Benefits
- Partial remote working possible with prior approval.
- Access to Resources of CNRS, ENS and PSL University, including professional training courses
- Budget available for high-performance IT equipment
- Budget available for research activities such as research collaborations, conferences and open-access publications
- CNRS employee benefits – including health insurance, retirement benefits, subsidised work transportation (bicycle, public transit, car) & meals
Additional Information
This postdoctoral research position is part of the FLORA project (« Sustainable and healthy food solutions: system dynamics and trade-offs »), funded by the European Research Council (ERC) and led by Carole DALIN [], in the Geosciences Department of the Ecole normale supérieure (ENS), in the centre of Paris. The selected candidate will join the FLORA research team, collaborating with researchers in the team, department and beyond, to answer the project’s first main research question: “How far are current global food systems from environmental sustainability and health goals?”.
About the FLORA project: Food systems are crucial to end hunger, but also to mitigate and adapt to climate change, to protect and restore biodiversity, to ensure human health and well-being, to end poverty, and to support sustainable communities. While hunger has receded, food systems are causing increasingly severe damage to our environment and health. The FLORA project will contribute to a transformation of global agri-food production, trade, and consumption necessary to achieve sustainable and healthy food systems.
The project will create essential evidence to identify and implement the shifts in practices and behaviours needed to effectively achieve this transformation, by (1) making a diagnosis of the integrated health and environmental outcomes of food systems globally, from the production and consumption perspectives, with innovative measures of sustainability, (2) identifying key threats and opportunities with system dynamics and complex network analyses, and (3) targeting and evaluating tailored solutions with an inter-disciplinary modelling framework. The project will enable the identification of most effective, targeted solutions by considering trade-offs, synergies, and dynamics of key food systems components.
Global in scope, it sets the ambitious goal to overcome barriers in current approaches by taking a systemic approach and establishing a robust, interdisciplinary framework supported by empirical advancements to tackle complex food systems challenges.
Description
Main missions
The key research objectives for the selected candidate are listed below, with some flexibility to explore further specific aspect(s) depending on the candidate’s skills and interests:
- analysis of the interactions across metrics of environmental sustainability and nutrition security of food worldwide, from the consumption and production perspectives
- analysis of complex systems dynamics
Both objectives build upon work from the team, specifically an integrated indicator of environmental sustainability and nutrition security of food worldwide. This covers impacts of crop and livestock production worldwide on climate change via greenhouse gas emissions; water stress via withdrawals from soil, surface water and groundwater for irrigation; and both aquatic and terrestrial biodiversity via the use of farming inputs (fertilisers) and land, respectively. This is done at a high spatial resolution of approximatively 9km x 9 km across the globe (5arc min). We also have used international food trade data to understand these impacts with a consumption based-perspective, and emerging global spatial datasets available over time to extend the quantification of the indicator.
First, the selected candidate will use statistical methods to characterise, over space and time, the relationships between the environmental and health domains measured by the indicators, as neutral (unrelated), synergistic (win-win), or antagonistic (trade-offs). This will evaluate how the interactions between these indicators have recently evolved, revealing whether they have switched between a synergy and a trade-off, have become stronger synergies or deeper tradeoffs. This knowledge is critical to craft effective sustainability solutions.
Second, the researcher will analyse the temporal evolution of the network of food trade and its health and environmental impacts, using methods such as complex network analysis. Here we will consider the countries as nodes, their trade connections as links, and the indicator values associated with the traded commodities as links’ weights. The network topological (i.e. associated to the structure, made of nodes and links) and weighted (associated to the weights of the links) characteristics will be changing, revealing potential increasingly important nodes (countries) and vulnerabilities/resilience to perturbations of the systems. The temporal trends observed in the dynamic indicators will be teased out into increasing pressures, leading to worsened unsustainability, and increasing resilience, leading to improved sustainability.
Main activities
- Research : data collection and analysis, modelling, publishing results in high-quality peer-reviewed articles
- Presenting results at scientific conferences
- Attending the lab activities such as seminars and relevant workshops
Salary
3081 to 4541 euros gross monthly salary, according to experience.
More
https://emploi.cnrs.fr/Offres/CDD/UMR8538-CARDAL-001/Default.aspx?lang=EN
Compétences requises
Technical skills
Essential
- Computer programming (e.g. Matlab, R, Python)
- Analysis of large (spatial) datasets
- Experience with source control (GitHub)
Preferred
- Knowledge of complex network analysis
- Knowledge of environmental sciences
- Analysis of large-scale agricultural and trade datasets
Behavioural skills
- Evidence of ability to work well in a team as well as independently
- Commitment to a collegial and inclusive workplace