The Mechanical and Aerospace Engineering Department at the United Arab Emirates University is actively seeking a highly motivated research assistant/associate to join our team specializing in Computational Fluid Dynamics (CFD) and Machine Learning (ML). We are specifically interested in candidates with a strong background in CFD and ML, focusing on the development of innovative solutions for advanced CFD practices. The ideal candidate should possess a comprehensive understanding of CFD and ML principles, with expertise in multiphase flows and their applications. Previous experience in CFD development and applications, demonstrated through prior work and peer-reviewed publications, is highly desirable. Candidates with experience in integrating machine learning techniques into CFD processes will be given preference. While a bachelor's degree in a relevant field is the minimum requirement, candidates with a master's degree are highly encouraged to apply. We are looking for individuals who have a proven track record of excellence in both academic and professional pursuits, showcasing their expertise and contributions to the fields of mechanical and aerospace engineering. As a successful candidate, you will actively contribute to ongoing research projects, collaborate closely with team members, and play a pivotal role in the development of state-of-the-art CFD practices through the application of machine learning methodologies. Exceptional written and verbal communication skills are vital for effective collaboration and the dissemination of research findings. This position offers an exciting opportunity to work in a dynamic research environment dedicated to making significant contributions to the field of CFD. As a research assistant/associate, you will be at the forefront of cutting-edge research and have the chance to utilize machine learning techniques to advance CFD practices. If you possess a genuine passion for machine learning and computational fluid dynamics, and meet the required qualifications, we strongly encourage you to apply for this position.

A minimum requirement for this position is a bachelor’s degree in a relevant field, although a master’s degree is highly preferred. The candidate should have a demonstrated track record of excellence in their academic and professional pursuits, showcasing their expertise and contributions to the development and application of CFD in mechanical and aerospace applications.

The ideal candidate should possess a comprehensive understanding of CFD and ML principles, with expertise in multiphase flows and their applications. Previous experience in CFD development and applications, demonstrated through prior work and peer-reviewed publications, is highly desirable.

31/12/2023