About the role
Scientist, Computational Sustainability, IHPC role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
ResearchOnsite
Key Responsibilities
Responsibilities are not available for this post.
Requirements
- A strong academic background in physics and/or engineering, preferably with a PhD in Mechanical, Aerospace, Civil, Environmental, Chemical, Computational Engineering, Applied Physics, or a closely related discipline.
- Solid understanding of core physics and engineering principles, including fluid dynamics, transport phenomena, and thermodynamics, with demonstrated expertise in multi-phase and multi-component flows.
- In-depth knowledge of numerical methods for fluid flow simulations (e.g. finite volume methods, lattice Boltzmann methods, volume-of-fluid techniques) and experience with high-performance computing.
- Experience in developing computational methods, including the use and customization of open-source CFD codes (e.g. OpenFOAM, Nek5000, Palabos); familiarity with optimization techniques (e.g. linear, nonlinear, and real-time optimization) is an advantage.
- Proficiency in programming languages such as Python, C/C++, Fortran, CUDA, and/or Julia.
- Experience with machine learning techniques, including neural networks and deep learning, is highly desirable.
- Strong interpersonal and communication skills, with the ability to work effectively both independently and as part of a multidisciplinary team; excellent command of written and spoken English; self-motivated, resourceful, and committed to high standards of professional integrity.