main topic: Tropical cyclones undergo periods of rapid intensification whose dynamics are currently not understood and therefore not correctly forecast. Considering the huge demographic, societal, and economic effects of hurricane and typhoons, it is of paramount importance to study
those events. Recent work indicates that small scale asymmetries embedded in the cyclonic structure can be important in affecting the intensification rate. Using newly developed diagnostics, such as the boundary layer ventilation metric, this study will investigate the role of small scale sea surface temperature features on the evolution of tropical cyclones.
Considering that typically atmospheric models correctly generate the observed distribution of intensification rates of tropical cyclones (although not at the right time and location), aim of this work is to use such models to investigate the links between small scale dynamics and
the evolution of tropical cyclone intensity. To this aim, both CMIP6 and HighResMIP outputs will be analyzed and hypothesis on the relevant processes will be formulated. Convection
permitting numerical simulation will then be run in idealized configurations to test the
hypothesis.
The project will be performed in collaboration with ISTA (Institute of Science and Technology Austria), where the PhD candidate is expected to spend at least 6 months.
supervisor's webpage: https://sites.google.com/unimib.it/pasquero
field: PhD Course in Chemical, Geological and Environmental Sciences
Call for Interest 38th cycle - Curriculum Terrestrial and Marine Environmental Sciences, University of Milano Bicocca
contact for application/requests: This email address is being protected from spambots. You need JavaScript enabled to view it.
main topic: The project builds upon previous studies on the relationship between land surface properties and precipitation. For instance, the observational and modeling investigations performed in the framework of the international AMMA project showed that precipitations in semi-arid regions are affected by soil moisture gradients, favoring precipitations on drier land next to moister surfaces. The importance of surface gradients has also been studied over the oceans, demonstrating that precipitations are favored over strong sea surface temperature fronts. Current studies are also indicating that extreme precipitations in urban areas have been
increasing over the last few decades more than in rural areas. These studies indicate that the reasons at the base of the generally observed increase in occurrence and/or intensity of heavy rainfall events might be both related to global climate change and to local land-use change. Discovering under what circumstances one of the two processes dominates is of paramount importance for policymakers and administrators, in order to tackle the problem in the correct way and reduce risks associated with strong meteorological events.
In this project, high-resolution precipitation and land surface properties datasets will be analyzed to investigate the presence of links between land cover and its gradient with extreme precipitations. Based on the results of this data analysis part, a physical hypothesis on the possible mechanisms at play will be formulated, most likely involving surface fluxes, boundary layer dynamics, and stability of the air column. In the second part of the PhD, high-resolution numerical modeling tools will be used to test the hypothesis and study the
sensitivity to large-scale climatic conditions (such as, for instance, sub-tropical vs mid-and high-latitude settings).
The project will be performed in collaboration with the Ecole Normale Superieure in Paris, where the PhD student is expected to spend 12 months. It is foreseen that a joint PhD agreement will be signed by the two Universities, with the possibility of awarding two PhD degrees.
link of the supervisor's website: https://sites.google.com/unimib.it/pasquero
deadline: open
field: PhD Course in Chemical, Geological and Environmental Sciences
Call for Interest 38th cycle - Curriculum Terrestrial and Marine Environmental Sciences, University of Milano Bicocca
contact for requests/applications: This email address is being protected from spambots. You need JavaScript enabled to view it.
Are you interested in the remote sensing observations from a ground-based microwave radiometer, a cloud radar, and a differential absorption lidar? Are you interested in being a part of the extensive Paris 2022 field experiment? Then maybe a research fellow position at the CNRS is a great opportunity for you!
Check out the call below, the application deadline is 15 March 2022!
main topics:
Monitoring of the data quality of several remote sensing instruments during the field campaign.
Extension of an already existing one dimensional variational data assimilation scheme to retrieve vertical profiles of temperature, humidity and cloud microphysical properties by including DIAL observations.
Evaluation of different configurations of the AROME model during high impact weather events (severe convection and pollution).
place: CNRS, Toulouse, France
qualification required: Ph.D. degree in meteorology or a related technical or scientific discipline, expertise on remote sensing and the retrievals of geophysical properties from raw remote sensing measurements, good skills in Linux, Fortran languages and data processing.
application deadline: 15 March 2022
link: https://bit.ly/3H3i2Kg
Are you interested in urban meteorology and in development of the next generation of weather and climate models? Are you interested in being a part of multi-disciplinary teams? Then maybe a position at University in Reading is a great opportunity for you!
Check out the call below, the application deadline is 23 March 2022!
main topics:
Lead the Reading observational fieldwork and collaborate with others across the groups.
Contribute to analysis and field operation of observations (e.g. Doppler Lidar, thermal infra red cameras, scintillometry, ceilometers).
Undertake research that contributes to improved understanding of surface-atmosphere exchanges using observations (Thermal IR cameras, scintillomtetry, etc) and the influence of changing scales.
place: University of Reading, UK
qualification required: Ph.D. degree in meteorology or a related technical or scientific discipline. Experience using and analyzing data from Doppler Lidars, IRT Cameras, Scintillometry, Ceilometers. Excellent computing and data management skills.
application deadline: 23 March 2022
link: https://jobs.reading.ac.uk/displayjob.aspx?jobid=10205
contact person: prof. Sue Grimmond, This email address is being protected from spambots. You need JavaScript enabled to view it.
Are you passionate about meteorology and would you like to use your knowledge and skills to contribute to the green energy transition? Then a postdoc position at DTU Wind Energy could be the next step in your research career!
Check out the call below, the application deadline is 1 April 2022!
main topics:
Retrieve wind and rain information from satellite observations.
Analyze satellite-based data sets in combination with other data types such as ground based remote sensing observations, in situ observations, and outputs from weather models.
place: Technical University of Denmark, Lyngby, Denmark
qualification required: PhD in Meteorology, Physics or a related field. Some experience with analysis of spatial data sets from satellites or weather models. Competent programming skills in Matlab or Python.
application deadline: 1 April 2022
link: https://www.dtu.dk/english/About/JOB-and-CAREER/vacant-positions//job?id=56285a2e-ea61-4df9-8fcd-c0a608256b3d
contact person: Professor Charlotte Bay Hasager (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Are you interested in cloud microphysics? Are you interested in numerical models? Then maybe a postdoctoral position at the Jagiellonian University is a great opportunity for you!
Check out the call below, the application is open from February 2022!
main topics:
Modelling isotopic signatures in precipitation using particle-based cloud microphysics.
supervision of a BSc/MSc student and engagement in development of our open-source Python projects.
place: Jagiellonian University, Kraków, Poland
qualification required: Ph.D. degree in relevant field, fluency in English; solid programming skills.
application is open from February 2022
link: https://github.com/atmos-cloud-sim-uj/#we-are-hiring
contact person This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.
Are you interested in physical processes at the earth-atmosphere interface? Are you interested in taking part in field measurements? Then maybe a doctoral position at the Oslo University is a great opportunity for you!
Check out the call below, the application is open from February 2022!
main topics:
To investigate the spatial variability of land-atmosphere fluxes and develop methods to better account for the heterogeneity of land surface fluxes in climate models.
The research will be based on a combination of field measurements, statistical or data sciences methods, and high-performance computing.
To develop a stochastic parameterisation for turbulent fluxes, where random perturbations in the model reflect the representation of model uncertainties.
place: Oslo, Norway
qualification required: Master’s degree or equivalent in Meteorology, Atmospheric Sciences, Physics, Applied Mathematics, or a related field. Experience and interest in statistical and/or computational methods.
application is open from February 2022
link: https://www.jobbnorge.no/en/available-jobs/job/219810/phd-research-fellow-in-geosciences
contact address: Associate Professor Nikki Vercauteren, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Are you interested in modelling of transport and chemical reactions of air pollutants? Are you interested in characteristics of ultrafine particles? Then maybe a postdoc position at CEREA is a great opportunity for you!
Check out the call below, the application deadline is 30 March 2022!
main topics:
Map urban air quality through multi-scale modelling for pollutants of health interest (organic aerosol, ultrafine particles, black carbon).
Use a regional chemistry-transport models and a street network model for downscaling concentrations to the streel level over the Paris region.
place: CEREA, l’École des Ponts ParisTech, Marne-la-Vallée, France
qualification required: A PhD or equivalent experience in areas related to air quality, climate science, aerosol modelling, computational physics. Familiar with LINUX environment. Python.
application deadline: 30 March 2022
contact person: Dr Karine Sartelet (This email address is being protected from spambots. You need JavaScript enabled to view it.)
Are you interested in lidars technologies and their application in the field of wind energy? Are you interested in being a part of world-leading company? Then maybe a position at University at Leosphere is a great opportunity for you!
Check out the call below, the application is open from March 2022!
main topics:
Management of a team of research and application engineers.
Realization of R&D projects and campaigns demonstrating benefits of Lidar technology.
Identification of product improvements and new applications, algorithms development and improvements.
place: Leosphere, Paris, France
qualification required: Ph.D. degree in meteorology or a related technical or scientific discipline. Experience using and analyzing data from Doppler Lidars, IRT Cameras, Scintillometry, Ceilometers. Excellent computing and data management skills.
application open in March 2022
link: https://careers.vaisala.com/job/Paris-Research-and-Application-Manager/737693302/
Are you interested in cloud microphysics? Are you interested in how bioaerosols can change formation of clouds? Then a postdoc position at Lund University is a great opportunity for you!
Check out the call below, the application deadline is 28 March 2022!
main topics:
Upgrade a cloud model by performing some lab observations of an uncertain process of ice initiation.
Simulate a case of layer-cloud observed in USA, comparing with coincident observations.
Study this linkage between bioaerosols and clouds on the global scale by treating it in a global model of climate by means of a deep learning tool.
place: Lund University, Lund, Sweden
qualification required: PhD in Meteorology, with a bachelor's degree in physics or engineering. Experience in numerical modelling and knowledge of mesoscale meteorology. Programming language experience in UNIX environments, with fluency in Fortran and either Python or C.
application deadline: 28 March 2022
link: https://lu.varbi.com/en/what:job/jobID:458096/
contact person: Vaughn Phillips, This email address is being protected from spambots. You need JavaScript enabled to view it.
