Researcher in modeling of bioaerosols, layer-clouds and climate with AI - Hiring in process/Finished, not possible to apply

Subject description
Bioaerosols in mixed-phase layer-clouds can initiate ice and thereby may influence the precipitation and microphysical properties of the clouds, such as the numbers and sizes of cloud-particles aloft.  This in turn may influence radiative fluxes and meteorological conditions at the land surface where the bioaerosols are emitted.  It is an open question whether bioaerosols, if their microphysical effects are treated in detail with competing sources of ice also represented, can influence the climate on the global scale.  The project will address this topic.

Work duties
These tasks will be performed:

• 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.
• Predict the impact from various groups of bioaerosols on the simulated cloud properties.
• 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.

Qualification requirements

Applicants must have:

• Experience in numerical modelling and knowledge of mesoscale meteorology.
• A doctoral (PhD) degree in meteorology, with a bachelor's degree in physics or engineering.
• Oral and written proficiency in English.
• Programming language experience in UNIX environments, with fluency in Fortran and either Python or C.

Meriting:

Documented knowledge in the following areas is advantageous: - (1) mathematics, especially differential equations; (2) numerical methods, such as how to write finite-difference schemes; (3) physical meteorology, such as cloud microphysics and radiative transfer; and (4) microbiology.

Experience with machine learning and other AI techniques would be an advantage but is not essential.

Assessment criteria and other qualifications
Applicants must provide proof of how they meet the above requirements in the application. Consideration will be given to collaborative skills and motivation.

Terms of employment
This is a full-time, fixed-term employment for one year initially. Subject to satisfactory performance, the position can be extended for up to one additional year.  Further employment can then be discussed after two years, depending on performance.
Start date 2022-07-01 or in accordance to agreement.

Contact person is Vaughan Philipps +46 46 222 17 32, vaughan.phillips@nateko.lu.se

Instructions on how to apply
Applications are to be written in English and compiled as a PDF-file containing:

• résumé/CV, including a list of publications.
• a general description of past research and future research interests (no more than three pages).
• contact information of at least two references.
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.