IRSN, Institut de radioprotection et de sûreté nucléaire

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Enhancing Nuclear Safety


Post-doctorate proposals

Developing an innovative approach by combining geostatistics with deterministic dose rate modeling in order to build up a monitoring strategy tailored to the constraints of post-accident situations

Duration: 18 months

Work place: Fontenay-aux-Roses (Île-de-France), France

Deadline for applications: 30 May 2017



PhD in geostatistics, the candidate must have an excellent knowledge of the existing geostatistical tools and a motivation for the environmental applications. Its rigor and autonomy will enable it to work on a consistent database (several thousand or even millions of points per measurement campaign) with various tools (ArcGIS, ISATIS, R, etc.). Experience in exploiting results from physically based models or building spatial-temporal models will be a plus.





Characterizing cesium deposition distribution in both space and time is a challenging issue for managing land remediation after a nuclear accident. During the initial stages of land characterization, soil sampling is scarce and hardly covers the whole surface potentially contaminated by radionuclide fallout. Moreover, this monitoring does not usually target all the various land cover classes encountered within this zone. However, without waiting for soil sampling to cover a large spatial extent, both carborne and airborne monitoring can be quickly operated for unveiling cesium distribution in space and time. This post-doc position aims at developing an innovative approach by combining geostatistics with deterministic dose rate modeling (with SYMBIOSE) in order to build up a monitoring strategy which will be tailored to the constraints of post-accident situations. An emphasis will be especially given for feeding the decision-making process of land remediation in order to optimize the soil volumes to be removed. This strategy will be drawn up by further analyzing the existing dataset available in Fukushima prefecture that is provided by our collaborators from the Japanese Atomic Energy Agency (JAEA). JAEA has been gathering air dose rate and soil activity data into the “Environment Monitoring Database for the Distribution of Radioactive Substances Released by the TEPCO Fukushima Dai-ichi NPP Accident” commonly called the “JAEA-NRA database”. The novelty of this work lies in the development of a new geostatistical approach suited for designing a characterization methodology of radioactive contamination in both space and time in the case of post-accident situations. This approach will provide quantitative insights into the assessment of a confidence level about the maximum extent of radionuclide spreading in space and time, especially for estimating the surface over which decontamination may be required and thus optimizing the amount of soils that may need to be removed depending on the land cover classes affected by the contamination.

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Involved IRSN laboratory

Study of Sub-surface Migrations Laboratory (LT2S)


For more informations and to send your resume, you may contact:

Charlotte Cazala


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