Post-Doctoral Position In Atmospheric Chemistry F/H

2 semanas atrás


Porto, Portugal Ineris Tempo inteiro

Organisation/Company: Ineris
Research Field: Chemistry, Environmental science » Ecology
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Country: France
Application Deadline: 30 Dec 2024 - 22:00 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Offer Starting Date: 6 Jan 2025
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description As part of its research activities and support to public authorities (French Ministry of Environment), the unit ANAE (methods and analytical development for environmental characterization) develops analytical procedures for the characterization of various environmental matrices including air. Its research activities are strongly linked to its implication in the French national air quality monitoring laboratory (LCSQA) and are focused on the study of atmospheric aerosols including their physicochemical characterization, understanding of their sources, emission and/or formation processes, as well as their impact on air quality (toxicity) and climate.
The knowledge of aerosols (particulate matter, PM) in ambient air is essential to assess health and climate impacts of air pollution. Their sources, formation processes and chemical composition are still poorly known. Biomass burning accounts for a significant part of the primary emissions of fine PM in the ambient air notably in winter period due to wood combustion used for residential heating purposes. This source also emits large quantities of volatile and semi-volatile organic species leading to the formation, via (photo-)chemical processes, of secondary organic aerosols (SOA) accounting for a substantial part of fine PM concentrations.
In this context, the main objectives of this post-doctoral work are to study and understand the SOA formation processes from residential wood-burning appliance emissions (logwood stove) and from typically emitted SOA precursors (e.g., polycyclic aromatic hydrocarbons (PAHs) and phenolic compounds or mixture of them) (WOODNIGHT and SOTOX projects). To do so, logwood stove emissions, or pure precursors, will be aged using an oxidant flow reactor (OFR) under different oxidation conditions (OH, NO3 or Cl radicals), simulating the diurnal and nocturnal atmospheric processes. A detailed physicochemical characterization of the gaseous and particulate phases will be carried out.
Your mission will focus on the following priorities:
Operate the oxidation flow reactor (PAMOFR) and the state of art of on-line instrumentation (SMPS, CPMA, AAC, ACSM/AMS, CI-ToF-MS + EESI and PTR-MS + CHARON) to perform the aging experiments and measure the chemical and physical properties of the gaseous and particulate phases together with related QA/QC procedures.
Independently operate these instruments, and other instruments (e.g., gas analyzers) in the laboratory and on the INERIS biomass burning facility.
Validate and analyze the data by these instruments and interpret the results obtained.
Link physicochemical characterization with toxicological responses.
Present results at scientific meetings and during international scientific conferences. Valorize the results through research project reports and publish them in peer-reviewed literature.
PhD recent graduate (less than 3 years) in chemistry, physics, atmospheric sciences (aerosol/atmospheric chemistry/physics), environmental engineering to which Ineris will be able to provide additional training within the framework of this post-doctoral contract under private law with reference to Articles L1242-3 of the Labor Code and L431-5 of the Research Code.
You have experience in experimental sciences and data analysis, including:
Operating instrumentation such as PTR-MS/CI-ToF-MS and/or ACSM/AMS.
Performing smog chamber or OFR experiments.
Troubleshooting and resolving problems with instrumentation.
Coding and analyzing complex data sets using Igor Pro.
In addition, you demonstrate the following abilities:
Strong experimental and lab/field work interest.
Autonomy.
Scientific rigor.
Adaptability.
Teamwork.
Synthesis and writing abilities.
Dynamism, and stress tolerance.
Very good written and oral English.

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