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Open Positions
Job opening title
PhD student in Numerical Modeling of Volcanic Plume Transport with the Lattice Boltzmann Method
Job description
As a PhD student in the field of numerical modeling of physical systems in Earth sciences with the lattice Boltzmann method, you will be responsible for developing new numerical models and implementing them in the massively parallel simulation platform Palabos using GPUs. The primary goal of the project is to develop a three-dimensional volcanic plume model, capturing compressible, turbulent, and multi-phase flow phenomena. Your work will also include frequent interaction and contributions to the work of team members carrying out field work and experimental validation.
Your tasks will include
- (In collaboration with group members specialized on the simulation of compressible flows) Selection and implementation of a lattice Boltzmann method for compressible flows.
- Selection and implementation of a model for atmospheric layers with different density, pressure, and temperature.
- Selection and implementation of (1) particle transport models and (2) gas-particle and particle-particle interactions and turbulence at multiple scales to better constrain the conditions that favor particle aggregation and settling-driven gravitational instabilities.
- Implementation and validation of a large-scale multi-GPU simulation system.
- Execution of simulations, comparison and validation with field and laboratory observations.
- Participation and contribution to field measurements and observations.
Profile
- Master’s degree, diploma, or similar level of education in Computer Science, Applied Mathematics, Engineering, Physics, Geophysics, or Geology or a related field.
- High interest in numerical modeling of physical systems. Previous experience in geophysical systems is an advantage.
- Strong background in numerical mathematics.
- Experience in Computational Fluid Dynamics. Experience in lattice Boltzmann Methods and in modeling of compressible flows is an advantage.
- Experience in high performance computing. Experience in code development for GPU-based applications is an advantage.
- Languages: English (fluent). Solid knowledge of French is an advantage.
Job location
Place of work: University of Geneva, Switzerland
Supervisors: Prof. Costanza Bonadonna of the Physical Volcanology and Geological Risk Group (UNIGE), Prof. Jonas Latt of the Scientific and Parallel Computing Group (UNIGE) and Dr. Paul Jarvis (UNIGE and GNS Science, New Zealand).
Applications
Application deadline is February 28, 2022. Interested applicants please email a CV, a list of 2 referees, and a cover letter detailing why your motivation for this specific project and summarizing your previous relevant experience (maximum 1 page) to Prof. Jonas Latt