The Data Driven Material Discovery for Bioengineering Innovation Project supervised by Prof. Parvathi Chundi, Computer Science department, College of Information Science and Technology, University of Nebraska-Omaha, is seeking a Research Associate in the areas of machine learning to support material discovery and bioengineering innovation. The major research focus is on developing machine learning methods to analyze the massive amounts of data to support speedy discovery of new material properties, materials, and material-biofilm interactions. This is a full-time, benefits eligible position with an anticipated start date in August 2021. The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. UNO is a VEVRAA Federal Contractor and an E-Verify employer.