Postdoctoral fellowship in Water Desalination and Machine Learning

King Abdullah University of Science and Technology
July 17, 2024
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
King Abdullah University of Science and Technology: Postdoc Positions:

Biological and Environmental Science and Engineering Division (postdoc): Environmental Science and Engineering (postdoc)


Thuwal, Saudia Arabia

Open Date

Feb 01, 2023


The Innovations in Desalination Technologies Theme at Water Desalination and Reuse Center (WDRC) in King Abdullah University of Science and Technology (KAUST), invites suitably qualified applicants holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial intelligence framework for RO systems. Candidates with background in conventional and innovative membrane-based technologies with data driven modeling approach are encouraged to apply for this position. We are looking for young scientists who are passionate about water desalination and machine learning with its potentially transformative applications in research and industry. The two-year post-doctoral position, with possible extension, is fully funded by an industry partner. Effective oral and written communication skills in English are key for dissemination purposes.


Required technical skills:

  • Deep knowledge in membrane desalination technologies.
  • Experience in Pilot facility is an advantage.
  • Experience with computational frameworks for machine learning ( e.g. , PyTorch and TensorFlow).
  • Experience with high-performance computational environments (e.g., cloud and clusters).
  • Experience with handling large-scale datasets through Python.
  • Solid background in statistics and probability theory.
  • Track record of high quality publication.
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