Applications are invited for one PhD position (“Early Stage Researchers”, ESR) at the Politecnico di Torino. This position is funded by the Marie-Skłodowska- Curie Innovative Training Network “COMPLETE – Cloud-MicroPhysics-Turbulence-Telemetry: An inter-multidisciplinary training network for enhancing the understanding and modeling of atmospheric clouds” within the Horizon 2020 Programme of the European Commission.
Clouds are the largest source of uncertainty in weather prediction, climate science, and remain a weak link in modeling atmospheric circulation. This is rooted in the fact that clouds depend on the physical and chemical processes over a huge range of scales, from the collisions of micron-sized droplets and particles to the airflow dynamics on the scales of thousands of meters. Since ambiguities related to representation of clouds in climate models prevail, explorative observations are still needed. The challenge is on the one hand to establish connections across this range of scales, from aerosol and particle microphysics to macro-scale turbulent dynamics in clouds, and on the other to combine knowledge and training across vastly different scientific and engineering disciplines. The aim of COMPLETE is to develop an inter/multidisciplinary training network that will prepare high-potential early stage researchers (ESRs) with both scientific and industrially-oriented skills that will advance our understanding in these multi-scale complex natural phenomena. COMPLETE will vastly improve Europe’s position as a global leader in technology, science and innovation to address climate change challenges. The training programme will combine the scientific investigation of specific aspects of cloud physics and related turbulent dynamics with training in key professional skills. This comprises an exceptional experimental programme that includes field experiments, laboratory and numerical simulations, the design and development of advanced fast temperature probes, velocity MEMS and innovative atmospheric mini radio-sondes; all aimed at the production of new, Lagrangian based, cloud fluctuation datasets, required to reduce the fragmentation of results and knowledge in this field.
ESR 1: Transport across warm turbulent cloud interfaces.
Objectives: Numerical analysis by using Lagrangian Turbulence spectral solvers of the transport of energy, water vapor and droplets across the interface warm cloud/clear air in a stably and non-stably stratified environment. Lagrangian analysis of small inertial water droplets in suspension (1 - 100 μm) across turbulent-non turbulent cloud interfaces and inside warm clouds. The system includes effects associated to buoyancy and condensation/evaporation.
Expected Results: Measure of the spreading rate of the vapor across the interface and of the entrainment of dry air or detrainment of moisture. Determination of the flow rates and their modelling. Creation of a Lagrangian database for dispersed small water droplets.
Benefits and salary
The successful candidates will receive an attractive salary in accordance with the MSCA regulations for Early Stage Researchers. The salary, includes a living allowance (3318 €/month before taxes and social security contributions) plus a mobility allowance (600 €/month) and a family allowance (if already married). The PhD funding is for 36 months. In addition to their individual scientific projects, all fellows will benefit from further continuing education, which includes internships and secondments at the other partners of the COMPLETE network, a variety of training modules as well as transferable skills courses and active participation in workshops and conferences.
Applicants need to fully satisfy three eligibility criteria:
All candidates are invited to write by email to the contact persons, Prof. Daniela Tordella and Dr. Michele Iovieno (including in cc firstname.lastname@example.org).
Applications must include:
Appicants will need to prove that they are eligible according to the ESR definition, international mobility requirement and English language proficiency.