Scientific assistant for ozonesonde intercomparison data analysis
The Royal Meteorological Institute of Belgium (RMI) is looking for a scientific assistant who will analyze data from past ozonesonde intercomparison campaigns.
Ozonesondes are light-weight instruments (see e.g. http://ozone.meteo.be/meteo/view/en/1550381-Ozone+soundings.html), launched with weather balloons, that measure the vertical distribution of the ozone concentrations in the atmosphere, based on a chemical reaction with Potassium Iodide solutions in a Electrochemical Concentration Cell (ECC). At Uccle, these measurements have been taken since 1969 already. In a vacuum chamber at the World Calibration Center for Ozone Sondes (WCCOS) in Jülich (Germany), the typical atmospheric conditions in which an ozonesonde operates are simulated and the the data from 4 different ozonesondes can be compared with a reference instrument. During past of these Jülich Ozone Sonde Intercomparison Experiments (JOSIE), a dataset of around 200 simulations of each time 4 ozone sensors involved has been gathered.
• analyze the impact of different instrumental effects related to the ozonesondes (time lag of the sensor response, sensing solution strength used) on the measured ozone concentrations
• develop calibration functions for different combinations of ozonesonde types and sensing solution strengths to the reference instrument
• develop additional data processing algorithms to correct for e.g. the time lag of the sensor response
• perform additional experiments with ozonesondes in our ozone lab or in the simulation chamber in Jülich
• based on the investigations, formulate recommendations to the Assessment panel of Standard Operating Procedures for Ozone Sondes (ASOPOS).
• Contribute to scientific publications regarding the analysis and the exploitation of the Uccle ozonesonde dataset.
• Master/PhD degree in natural sciences and/or engineering.
• Interested in ozone research and chemical processes that create/destroy and measure ozone.
• Interested in/have experience with data analysis
• programming skills
• Experience with data analysis tools (e.g. R, MATLAB, IDL, …) is an advantage.
• Technical skills (e.g. being able to set up an experiment yourself) are also an advantage.
• Excellent written and oral communication skills in English
• Ability to work effectively both independently and in a team
• one year contract (prolongation not excluded)
• salary according to SW1 scale for scientific staff
• 26 days of annual leave
• dynamic working environment, with many national and international contacts.
• Flexible working hours
• Possibility to work one day a week from home
• Public transport paid by RMI, bike allowance
• A reduction of the hospitalization assurance fee
• Child care at the site during the summer holidays
To apply, please send by e-mail your curriculum vitae and a brief statement of interest related to the position before 15.11.2018 to: Mr. Kevin Knockaert, Koninklijk Meteorologisch Instituut, Ringlaan 3, B-1180, België, E-mail: email@example.com. Further information on the vacancy can be obtained from firstname.lastname@example.org or email@example.com.