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Responsibilities

Computational Biofluidics and Biomechanics Laboratory at Oklahoma State University (www.cbbl-okstate.com) is seeking one highly motivated Ph.D. candidate to join the group of Dr. Yu Feng in the School of Chemical Engineering in SPRING 2023.  The two openings are for graduate students who are interested in (1) applying computational fluid dynamics (CFD) to seeking optimized mitigation plans to control the airborne transmission of SARS-CoV-2 laden aerosols, (2) developing novel whole-lung modeling framework for pulmonary targeted drug delivery integrating CFD and artificial intelligence (AI), and/or (3) developing models to understand embolism formation in arteries. The Ph.D. candidate position will be offered a research assistantship. During his/her Ph.D. study, the successful candidate will: 

• Focus on teamwork/collaboration, engineering fundamentals, creativity, and communication development (both written and oral)

• Establish novel and realistic computer simulation models that will provide quantitative data for the assessment of inhaled aerosol transport, deposition, absorption, and translocation in human bodies.

• Interact with experimentalists and clinical doctors to validate numerical models and theoretical findings.

• Integrate scientific knowledge on pulmonary disease detection and treatment from multiple aspects in addition to pure computational research.

• Analyze numerical results and findings to generate new insights with relevance to, but not limited to, pulmonary health risk assessment, pulmonary drug delivery device optimization, non-invasive pulmonary disease diagnosis, etc.

• Contribute to the preparation of scientific publications and project documentation

Qualifications 

• Meet the admission requirements of the Graduate Program at Oklahoma State University

• B.S./M.S. in Chemical Engineering, Biomechanical Engineering, Mechanical Engineering, or other related engineering/science disciplines

• Solid background in Partial Different Equations, Transport Phenomena, Aerosol Science, and Fluid Mechanics.

• Proficiency in C/C++ and/or Python programming.

• Proficiency in OpenFOAM

• High motivation, great enthusiasm, and commitment to research excellence

• Good verbal and written English skills

• Good commercial CFD code skills for ANSYS CFD/Fluent and mesh generation tools are preferred

• Experience in Artificial Intelligence is preferred

• Experience in AutoCAD/Solidworks is preferred

• Experience in turbulence and multiphase flow modeling is preferred

• Experience in fluid-structure interaction (FSI) modeling is preferred

• Experience in parallel programming and high-performance computing is preferred.

Financial Support 

The qualified candidate will be offered a research assistantship (RA) that includes tuition waiver plus a bi-weekly stipend.

Close Date

Evaluation of applications will begin immediately and continue until the position is filled.

How to Apply

Please contact the PI Dr. Yu Feng, via yu.feng@okstate.edu. Interested candidates should submit applications to OSU Graduate College for the M.S./Ph.D. program in Chemical Engineering.  For admission requirements, please go to the following website.