PhD Position: Turbulent Flow Reconstruction : A PhD position is available at Universitat Politècnica de Catalunya · BarcelonaTECH (UPC), focusing on pioneering advancements in the reconstruction of turbulent flows using data-driven methods. The successful candidate will work at the intersection of data science and fluid mechanics, developing advanced algorithms with applications in aerospace, energy, and environmental engineering.
PhD Position: Data-Driven Turbulent Flow Reconstruction
Designation:
PhD Candidate
Research Area:
Data-driven turbulent flow reconstruction using Deep Learning and fluid mechanics.
Location:
East Barcelona Engineering School (EEBE), Universitat Politècnica de Catalunya, Barcelona, Spain.
Eligibility/Qualification:
- Master’s degree in Engineering, Physics, Applied Mathematics, or a related field.
- Strong programming skills (Python, C++, or similar).
- Passion for research and problem-solving in fluid dynamics.
Job Description:
The PhD candidate will develop and apply advanced data-driven algorithms to reconstruct turbulent flows from experimental and computational data. The role involves close collaboration with experts in fluid dynamics and machine learning, and offers opportunities for global academic and industry collaborations. Candidates will have access to state-of-the-art experimental facilities and high-performance computing resources.
How to Apply:
Send an email expressing your interest to:
- lluis.jofre@upc.edu
- joan.calafell@upc.edu
Last Date for Application:
23rd October 2024
Join UPC’s research team and contribute to the future of turbulent flow research!
