Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free:

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site:, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Google Analytics

Targeted advertising cookies


The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018




Centre Alpin sur les Réseaux Trophiques et Ecosystèmes Lacustre

PhD opportunity

Global soil erosion and carbon transfers to inland waters during the Anthropocene: coupling model and paleolimnological approaches

18 February 2021

Creator: Gary Naylor - Copyright:
CARRTEL is offering the position of a PhD-Thesis (2021-2024) in the field of Hydrology/ Soil Erosion/ Modelling (!! This position is now filled !!)

Accelerated soil erosion alters lateral exports of carbon (C) along the land to ocean aquatic continuum (LOAC) that needs to be accounted for closing the global C budget1,2. However, monitoring data do not extend back as far as few decades, limiting our comprehension of the role of soil erosion and its dynamics in the global C budget on centennial timescale3. As such, we lack the ability to make predictions about the responses of soil erosion and C transfers to long-term climate and land cover changes.

To address this gap, the overall objective of this PhD project is to advance our understanding of the long-term dynamics of soil erosion and C exports from land to inland waters, by coupling data-driven and model approaches. Specifically, the research undertaken will focus on assessing the spatial-temporal variability of soil erosion (i.e. trends, regimes, transitions, hotspots) and on identifying main drivers of changes for the last 300 years, such as the effects of changes in precipitations, deforestation, agriculture and dams’ settlement. The successful candidate will adapt semi-empirical models of soil erosion and C transfers constrained by paleo-data and hydro-climate scenarios to assess temporal trends, but also to quantify the global soil erosion and C exports to inland waters for the period 1700-2100 (i.e., mass of C exported, turnover or retention in watersheds). The model will be calibrated and validated for spatial variations against sedimentation rates and carbon fluxes data measured in French EDF reservoirs, c.f. EDF database including about 600 reservoirs. The model will be further validated for temporal variations against a paleo-data collection managed at CARRTEL of near-annual terrigenous and C signatures preserved in sediments from lakes around the world. In addition to the modelling approaches, the candidate will have the occasion to a lesser extent to participate in new field campaigns and lab analysis on lake sediments in order to implement the set of paleo-data.

 With a new perspective on empirically constrained models of soil erosion and C-exports, the project will advance our understanding of the influence of land use and climate on the C cycle during the Anthropocene.

 Team and Host institution

We offer a three-year funded PhD which is part of the C-ARCHIVES 2021-2024 program funded by the French National Research Agency (ANR). The PhD research will be realized at CARRTEL, Technolac Campus, Savoie Mont-Blanc University (USMB), Bourget du Lac, France (URL). The project involves scientists from CARRTEL, Sol Agro et Hydrosystème (INRAE, Rennes, France) and EDYTEM (CNRS, Technolac) laboratories, and the National company Electricité de France (EDF-CIH, Technolac) (URL). As such, you will be part of a dynamic team with logistical, financial, and staff support, including support for the modelling part of the project (URL).

CARRTEL is a limnological research unit (UMR) of the French National Research Institute for Agriculture, Food, & Environment (INRAE) and of the USMB (URL). The unit includes about 40 permanents scientists dedicated to the study of aquatic systems (lakes mostly) in interaction with water and mass supplies from their catchments. The unit provides several academic and for-profit research, instrumental and field facilities, access to analytical platforms and computing facilities including a shared storage capacity raid and the MUST High Performance Computer cluster. The unit also offers courses and trainings, and an excellent potential for local and international scientific collaborations.

 Start date : Open from now on  

 Required qualifications

  • Completed master degree in hydrology, hydrogeology, geosciences, or a related field.
  • Strong skills in scientific programming and experience in HPC environments.
  • Motivation for modelling approaches
  • Demonstrate an interest in soil erosion, carbon cycle, paleo-environmental issues

 Applications including a cover letter, CV, copies of degree certificates and detailed results (MSc), and the names of one referee should be submitted to the supervisors.

 Thesis directors


  1. Regnier, P. et al. Anthropogenic perturbation of the carbon fluxes from land to ocean. Nat. Geosci. 6, 597–607 (2013).
  2. Naipal, V., Reick, C., Pongratz, J. & Van Oost, K. Improving the global applicability of the RUSLE model – adjustment of the topographical and rainfall erosivity factors. Geosci Model Dev 8, 2893–2913 (2015).
  3. Jenny, J.-P. et al. Human and climate global-scale imprint on sediment transfer during the Holocene. Proc. Natl. Acad. Sci. 201908179 (2019) doi:10.1073/pnas.1908179116.

See also