Ph.D. Scholarships in Computational Multiphase Flows, University of California, USA

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State

Ph.D. Scholarships in Computational: The Department of Mechanical Engineering at San Diego State University (SDSU), in collaboration with the University of California, San Diego (UCSD), is offering two five-year Ph.D. positions in the field of Computational Multiphase Flows. These positions, supervised by Prof. Amncet Pal 5. Bhalla, provide an excellent opportunity for motivated candidates to join the Computational Fluid Dynamics and Flow Physics laboratory and contribute to cutting-edge research projects. Successful candidates will benefit from comprehensive support, including tuition coverage, health insurance, and a monthly stipend.

Designation:Ph.D. Positions
Research Area:Computational Multiphase Flows
Location:San Diego, California, USA
Eligibility/Qualification:– B.S. or M.S. degree in a related area (e.g., Mechanical/Aerospace/Chemical Engineering)
– Interest in pursuing a research career
– Strong fundamental understanding of fluid mechanics and numerical methods (e.g., finite volume schemes)
– Proficiency in large-scale programming
– English language proficiency (GRE and TOEFL/IELTS/PTE scores as specified)
Description:The Ph.D. candidates will engage in the development of multiphase flow codes with applications in metal additive manufacturing and wave energy conversion. They will work closely with Prof. Amncet Pal 5. Bhalla and a co-advisor from UCSD. SDSU’s joint Ph.D. program with UCSD offers access to both campuses’ facilities and resources.
How to Apply:Interested candidates should contact Prof. Amncet Pal 5. Bhalla via email (, attaching a detailed CV that includes contact information for two referees supporting their application.
Last Date for Application:December 15

For more details about SDSU’s Ph.D. program and application requirements, please visit [link to program details]. Join us in advancing research in the fascinating field of Computational Multiphase Flows while benefiting from a collaborative and stimulating academic environment.


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