Research Jobs at the University of Cincinnati, Cincinnati, Ohio

Position: Senior Research Associate on Biological Transplant Modeling under the College of Engineering and Applied Science

About the University of Cincinnati

The University of Cincinnati is a public institution in Cincinnati, the United States of America. The university ranks in 133rd  in National Universities in 2018 edition of Best Colleges. In addition to that, it practices the semester-based academic calendar. In addition to that, it is the oldest institution of higher education in Cincinnati and has an annual enrollment of over 44,000 students, making it the second largest university in Ohio. Above all, it is part of the University System of Ohio. In the 2017 U.S. News & World Report rankings, UC was listed as tied for the 189th best global university, tied for 135th ranked national university, and tied for 64th best public university (U.S.). In overall, the university has 14 academic colleges and schools.

About Position

The University of Cincinnati is seeking dynamic and capable senior research associate to contribute to a research project in the University of Cincinnati Stimulation Center. Moreover, the research project will be about modeling of transport phenomena, sorption, and partitioning of chemical species in skin layers. Basically, the successful appointee will be the computational scientist leading application and development of mathematical models. In general, those mathematical models are to develop innovative new products and materials which interact with the skin.

Furthermore, the senior research associate will do the following specialization to contribute to the research project

• The individual must be able to work with a team to define the model requirements.
• Following, develop the equations which govern a given phenomenon.
• Implement the equations wherever necessary.
• Verify the model implementation as well as validate the model.

Required qualifications

• University degree in Chemical Engineering or closely related field with specialization in the mathematical modeling of transport phenomena, applied mathematics, and numerical methods. However, the Ph.D. is preferable.
• Similarly, deep understanding of chemical engineering science, mathematical optimization, and model validation techniques.
• Ability to work independently.
• However, knowledge of python programming and biological system dynamics will be an asset.