Post-doc in statistical ecology: development and consolidation of biodiversity 
indicators 
from the Vigie-Nature programme

Context
Vigie-Nature citizen science programme, initiated with STOC-EPS more than 30 
years ago, 
produces for many taxa structured data over large spatial and temporal scales 
(multi-
species data; semi quantitative data; data associated with circumstantial 
co-variables). 
Organized into a big database, these data provide a particularly relevant base 
for exploring 
the effects of global changes on biodiversity at multiple spatial and temporal 
scales. An 
output of the research conducted using these data is the documentation and 
production of 
biodiversity status indicators (synthetic information reflecting biodiversity 
trends) whose 
changes in space and time can be interpreted in terms of dynamics of 
environmental and / 
or anthropic pressures. There is indeed a growing demand for this type of 
information, at 
various decision- making and organizational scales (Europe, country, region, 
municipalities).

Missions
At the interface between research in macroecology and social demand for the 
production 
of indicators, this project will rely on the state of the art of the 
statistical methods available 
for the analysis of structured data. The aim will be to develop a clear 
methodology and 
relevant tools to ensure the sustainable update of indicators by the existing 
team of 
engineers. In addition to strong methodological and statistical skills, a 
successful 
candidate will have excellent written and verbal communication skills, and the 
ability to 
work both in autonomy and as part of a team. Overall, excellent social skills 
are required 
for extensive collaborations.

Profile
Ph.D. in Statistical Ecology (i.e., a statistician with strong experience in 
ecology or ecology 
with strong skills on spatial and temporal sampling plan issues and statistical 
methods 
adapted to long time series collected at many sites).

Qualifications
-Strong experience with statistical tools, in the development and application 
of Bayesian 
methods and hierarchical modeling
-Solid programming experience (at least with R) required, ideally for 
structured data 
analysis
-Experience in database management (ex: PostgreSQL, MySQL)
-Knowledge of occupancy models and / or state-space models
- Interest in the field of application, macroecology, citizen sciences or 
naturalism would
be counted as an advantage

Work location
The mission will be carried out within the research teams of the UMR CESCO 
involved in 
the analysis of citizen sciences and will require close collaboration with the 
engineering 
team of the Vigie-Nature platform.

Appointment details
Location: Paris Museum of Natural History (Jardin des plantes)
Starting date: January 1st, 2018
Contract: Fixed-term contract, 1900-2100 € net depending on the appointee’s 
qualifications and experience
Duration : 12 months, possibility to renew

Information and application
The application file must consist of a CV and a cover letter. These documents 
will have to 
be sent in the form of a single PDF entitled 
“Application_IndicatorsVN_LASTNAME_Firstname".
Application should be submitted before November 12, 2017 to: 
anne.dozie...@mnhn.fr

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