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Reference : UMR5558-SANCHA-001
Workplace : VILLEURBANNE
Date of publication : Tuesday, January 29, 2019
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 April 2019
Proportion of work : Full time
Remuneration : from 2555,39€ to 2948,92€ (raw monthly salary) according experience
Desired level of education : PhD
Experience required : Indifferent
- Select appropriate non-linear models to obtain statistically robust estimates of concentrations for which there is a 50% effect on the species tested (ER50);
- Define an SSD procedure to include censored ER50 estimates (ie defined as intervals and / or unbounded values) allowing to statistically estimate hazardous concentrations for 5% of species (HC5), covering the full range of sensitivities displayed in studied sets of NTTP;
- Apply this SSD procedure to construct an applicable decision tree for risk assessment based on case studies;
- Design a user-friendly user interface, compatible with good laboratory practices (GLP) applicable to computer systems, making it easy to implement the decision tree and the SSD procedure;
- Publish the results.
For NTTPs, multi-species data are generated in line with the standard tests implemented in OECD guidelines 208 and 227. From these tests, ER50 values are estimated to be used as inputs within Species Sensitivity Distribution (SSD) analyses. Often noticed, some of these ER50 values are unbounded and it is not clear within regulatory guidelines on how to deal with these values within SSD analyses. In order not to loose such valuable data, the current SSD approach needs to be revisited, in particular for NTTPs; this is the main objective of the project in which the recruited person will be involved in order to:
- Deliver guidance on how to implement the statistical analyses (ER50 / HC5 estimates) in a report;
- Asses impacts on if/how the inclusion of unbound values may change the conservatism of HC5;
- Built a decision tree when to include unbound values in ERA;
- Establishing MOSAIC in the regulatory environment;
- Publish the results in peer-review journals.
This position will be co-supervised by the Laboratory of Biometry - Evolutionary Biology (resp. Sandrine CHARLES, CNRS, University Lyon 1, France) and the European Crop Protection Agency (ECPA, resp. Virginie DUCROT and Peter SOWIG).
High-level skills in modelling and statistical inference (especially Bayesian inference), in R programming and if possible, in applied ecotoxicology, ecology and/or risk assessment will be a plus. A deep knowledge of written and spoken English is absolutely necessary.
The recruited person will work within the "Predictive Modeling and Ecotoxicology" team of the Laboratory of Biometry - Evolutionary Biology, UMR 5558 of the CNRS and the University Claude Bernard Lyon I whose research is organized around two unifying themes: "Biometrics" and "Evolutionary Biology". This specificity has presided over the creation of the laboratory and gives it its originality. The scientific results of the LBBE are born in the synergy of the methodological points of view, whose core is the mathematical as well as the statistical and computerized modeling, and of the evolutionary perspectives which organizes the researches independently of the level of biological organization.
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