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Research Physicist in Multiphase Fluid Dynamics
1 week ago
The KTH Royal Institute of Technology in Stockholm is seeking a talented researcher to join the Fluid and Surface Group within FLOW. This position offers an exciting opportunity for motivated researchers to contribute to cutting-edge research projects using computational fluid mechanics to explore fundamental questions about multiphase fluid flows interacting with complex surfaces and materials.
About the JobWe are currently seeking a PhD student in fluid mechanics to develop and apply state-of-the-art numerical codes to study transport processes in both laminar and turbulent flows containing two or more fluid phases. The candidate will work closely with a strong community of researchers engaged in fundamental and applied research in fluid mechanics within the department.
This project uses computational fluid mechanics to understand how complex surfaces—whether rough, porous, or lubricated—can be used to control transport processes. This could lead to technological advancements in several sectors, including energy, health, and engineering.
As part of LUBFLOW, funded by the European Research Council (ERC), this project offers a unique opportunity for researchers to contribute to innovative solutions in fluid dynamics.
Responsibilities- Develop and apply state-of-the-art numerical codes to study transport processes in fluid flows.
- Contribute to the development of novel computational methods to simulate complex fluid phenomena.
- Collaborate with colleagues from various departments to integrate computational results into experimental studies.
- Master's degree in Physics, Applied Mathematics, or related fields.
- Experience in computational fluid dynamics and programming languages such as Python or Fortran.
- Strong communication and collaboration skills.
- A competitive salary according to KTH's Doctoral student salary agreement.
- Opportunities for professional growth and development in a dynamic research environment.
- A supportive team environment with access to cutting-edge computational resources.