Post Doctoral Fellow in Mechanical Engineering

Abu Dhabi, United Arab Emirates
01 Oct 2019
End of advertisement period
31 Oct 2019
Contract Type
Full Time

Location AE

Organization Name Mechanical Engineering

About University

The newly-established Khalifa University of Science and Technology combines the Masdar Institute of Science and Technology (MI), Khalifa University of Science, Technology and Research (KUSTAR), and the Petroleum Institute (PI) into one world-class, research-intensive institution, seamlessly integrating research and education to produce world leaders and critical thinkers in applied science and engineering.

Brief Description

To provide high quality research support and undertake internationally competitive research aimed at publication thereby contributing to the academic and research mission of the University. Since the Postdoctoral, experience is transitional to becoming an independent researcher or faculty member, the Postdoctoral tries their best to acquire the varied skills necessary to advance their career with guidance from the advisor. These skills include, but are not limited to, the ability to present research plans and findings in a convincing style, both in oral and written modes of communication, the ability to understand research group management and supervision of others, the ability to establish contacts and network with colleagues pursuing a similar research agenda, the ability to organize and teach a class or a course if more inclined towards a teaching career.

Detailed Description

Build and validate a comprehensive CFD model for a lab-scale Rotating Packed Bed (RPB) used for CO2 removal from gas streams using an Amine Use Machine Learning techniques to improve the CFD model prediction   Work closely with a research engineer in building, testing and acquiring data from the Lab-scale RPB   

Help the project leader supervise graduate students working for the project  Report weekly both verbally and in written to the project leader on the tasks progress

Job Requirements

  • PhD Degree in Mechanical Engineering or Chemical Engineering 
  • First-Hand Experience in Computational Fluid Dynamics for multiphase flow in particular for gas-liquid systems 
  • Experience in coding programming with several programming languages 
  • Experience in Machine Learning techniques is desirable 
  • Very good publications record in the field of CFD  
  • Strong communication skills both written and verbal

How To Apply

CV + Research Interest Statement

Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team (

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