Description:
The University of Birmingham is seeking a highly motivated postdoctoral researcher to join the School of Metallurgy and Materials within the College of Engineering and Physical Sciences. This exciting position focuses on understanding and reducing turbulence-generated noise through high-fidelity flow simulations and data-driven methods. The research will contribute to significant noise reduction applications for industries like aerospace, wind turbines, and transportation.
Key Responsibilities:
- Develop and refine research objectives for individual or joint research.
- Generate computational meshes and perform high-fidelity simulations on HPC clusters.
- Contribute to the development of a Computational Fluid Dynamics (CFD) solver with the research group.
- Develop data-driven techniques to model noise generation mechanisms using high-fidelity data.
- Collaborate with internal and external research groups and partners.
- Assist in supervising PhD students and provide tutoring within the School.
- Publish research in academic journals and present findings at conferences.
- Contribute to research funding applications and departmental research activities.
- Support enterprise and public engagement activities with clear academic and commercial benefits.
Person Specification
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Qualifications: First degree in Engineering, Physics, Mathematics, or Computer Science, and ideally a PhD or nearing completion in a relevant field (aerodynamics, fluid mechanics, aeroacoustics, etc.).
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Essential Skills:
- Experience in generating computational meshes for flow simulations.
- Proficient in developing CFD code and using CFD methods.
- Familiarity with Fortran or C++ for CFD solver development.
- Proficient in Python or Matlab for data analysis.
- High-level analytical and time-management skills.
- Strong communication skills and the ability to contribute to research planning and organization.
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Desirable Skills:
- Knowledge of data-driven methods, hydrodynamic instability, and aeroacoustics.
Benefits
- Access to cutting-edge computational resources.
- Opportunity to work with leading academic and industrial partners.
- Exposure to international research conferences and workshops.
- Inclusive and collaborative research environment.
- Support for career development and training in a vibrant academic setting.
Recruitment Timeline
- Closing Date: 2nd March 2025