Cincinnati, Ohio
Cincinnati, Ohio
Cincinnati, Ohio
Cincinnati, Ohio
Cincinnati, Ohio
Cincinnati, Ohio
Cincinnati, Ohio
Cincinnati, Ohio
Posted: 27-Mar-25
Location: Cincinnati, Ohio
Internal Number: 98672-en_US
Current UC employees must apply internally via SuccessFactors
Founded in 1819, the University of Cincinnati ranks among the nation?s best urban public research universities. Home to 53,235 students, more than 11,000 faculty and staff and 350,000+ living alumni, UC combines a Top 35 public research university with a physical setting The New York Times calls ?the most ambitious campus design program in the country.?
With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, three straight years of record enrollment, worldwide leadership in cooperative education, a dynamic academic health center and entry into the Big 12 Conference, UC?s momentum has never been stronger. UC?s annual budget stands at $1.85 billion, and its endowment totals nearly $1.8 billion.
Job Overview
The Complex Fluids and Multiphase Transport Lab at the University of Cincinnati is looking for a well-qualified postdoctoral research associate in the area of thermal-fluid sciences and machine learning (ML). The lab conducts research to advance fundamental thermal-fluid, interface, and data sciences, and apply them to enable efficient energy conversion and storage systems, sustainable manufacturing, and effective thermal management solutions. Our lab has pioneered the use of ML and data-driven approaches to enable thermal-fluid discoveries.
Essential Functions
The candidate will work in a convergent team environment with data scientists and engineers to integrate machine learning, data science, and artificial intelligence methods for applications in clean energy, advanced manufacturing, and climate change mitigation. The candidate will also lead projects and supervise graduate students.
Required Experience
Prior experience in the following areas is expected:
- Multiphase flow and heat/mass transfer.
- Programming and algorithm development.
- Mathematical and statistical ML.
Required Education
Ph.D. degree in Mechanical Engineering or Chemical Engineering.
Additional Qualifications Considered
- Prior experience in scientific machine learning is highly desired.
- Possess excellent communication skills.
Physical Requirements/Work Environment
- Office environment/no specific unusual physical or environmental demands.
Application Process Information
Please upload the following under the ?Additional Documents? section of the application:
- Cover Letter
- Current CV
- Names and contact information for two (2) references
Please use the ?Additional Documents? option as needed for these documents.
Compensation and Benefits
UC offers a wide array of complementary and affordable benefit options, to meet the financial, educational, health, and wellness needs of you and your family. Eligibility varies by position and FTE.
- Competitive salary range dependent on the candidate's experience.
- Comprehensive insurance plans including medical, dental, vision, and prescription coverage.
- Flexible spending accounts and an award-winning employee wellness program, plus an employee assistance program.
- Financial security via our life and long-term disability insurance, accident and illness insurance, and retirement savings plans.
- Generous paid time off work options including vacation, sick leave, annual holidays, and winter season days in addition to paid parental leave.
- Tuition remission is available for employees and their eligible dependents.
- Enjoy discounts for on and off-campus activities and services.
As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).
To learn more about why UC is a great place to work, please visit our careers page at https://www.uc.edu/careers.html.
For questions about the UC recruiting process or to request accommodations with the application, please contact Human Resources at jobs@uc.edu.
The University of Cincinnati is an Equal Opportunity Employer.
REQ: 98672
SF:OMJ SF:RM SF:HEJ, SF:INS SF:HERC SF:DIV SF:LJN SF:IHE