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: https://www.ghostery.com/fr/products/

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: http://www.youronlinechoices.com/fr/controler-ses-cookies/, 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

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

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 cil-dpo@inra.fr or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal CARRTEL INRAE CARRTEL INRAE USMB logo CARRTEL INRAE CARNOT logo

CARRTEL INRAE USMB

UMR CARRTEL

Centre Alpin sur les Réseaux Trophiques et Ecosystèmes Lacustre

PhD position paleolimnology and microbial ecology

03 May 2021

Application to submit to the Graduate School SISEO, University Savoie Mont Blanc

Lab:    UMR CARRTEL – Alpine Center for Research on Lake Ecosystems and Food Webs
           Domaine Universitaire
           73376 Le Bourget-du-Lac, France

Title:   Application of microbial diversity based approaches in paleolimnology to characterize the historical evolution of local pressures on lake ecosystems

Supervisor:                 Isabelle Domaizon, INRAE, CARRTEL
Co-supervisors:          David Etienne, University Savoie Mont Blanc, CARRTEL
                                     Emilie Lyautey, University Savoie Mont Blanc, CARRTEL

Subject: Long‐term understanding of past environmental conditions and past biological communities is a key challenge to predict how future environmental changes will affect ecosystem properties and biological diversity. Lake sediments are particularly relevant archives because of their ability to record both local and global environmental conditions, and to reconstruct temporal evolutions over the last millennia. In lake ecosystems, understanding the impact of anthropogenic stresses on microbial communities is a major challenge for current and future scientific research. Changes in microorganism diversity are likely to affect associated functions and will theoretically impact the resilience of these environments. As a consequence, lake ecosystems might be affected and less prone to resist to current and future environmental changes. Although multiple paleolimnological studies have already been developed on several lake ecosystems around the world, the analysis of subfossil DNA preserved in lake sediments is currently identified as one of the most promising developments in paleoecology, expanding the range of biological data that can be extracted from lacustrine sediments. While the use of genomic approaches has been successfully developed and applied for reconstructing long‐term dynamics of microbial eukaryotes, few similar application has yet been applied on microorganisms (micro‐eukaryotes, bacteria and archaea), although they may represent valuable indicators of global and local environmental changes affecting the lake ecosystem. This thesis aims to develop an integrative and holistic approach to understand the in natura complexity of microbial communities in the three domains of life within lake ecosystems. In this project, the strategy is to simultaneous study archaea, bacteria and micro‐eukaryotes, considering both the present and active microbial fractions, to understand microbiomes and their dynamics on large time and space scales. This will integrate questions relevant of microbial ecology and paleogenomic centered both on the aquatic and terrestrial communities archived in the sedimentary compartment.

Keywords: Bacteria • Archaea • Eukaryotes • SedDNA • Past and actual communities

Candidate profile: we seek a highly motivated and creative student with good background in microbial ecology or in molecular biology and theoretical ecology, with excellent university records. The candidate should demonstrate curiosity toward paleolimnology, statistical modelling and should be interested in undertaking multidisciplinary studies.

https://www.siseo.univ-smb.fr/wp-content/uploads/2021/04/PDF_2021_CARRTEL_Domaizon.pdf

 

Application: candidates can send an email with a CV, a motivation letter, 2 supporting letters and statements of previous grades and university scores to the contacts below.

 

Deadline for submission: 26.05.2021. A first round of interviews will take place between May 27 and June 1 with the supervisors. Selected candidate will be invited for the final interview at University Savoie Mont Blanc (June 14 and 15), during which the grant awarding decision will take place.

 

Contacts: David Etienne – David.Etienne@univ-smb.fr ; Emilie Lyautey – Emilie.Lyautey@univ-smb.fr – Isabelle Domaizon – isabelle.domaizon@inrae.fr

Site : https://www.siseo.univ-smb.fr/wp-content/uploads/2021/04/PDF_2021_CARRTEL_Domaizon.pdf

See also