The advent of advanced sensors and instrumentation deployed in the facilities and systems of public infrastructure is yielding immense amounts of operational data. This provides compelling opportunities for Data Scientists to partner with operators to enhance many aspects of the infrastructure, including design, management, safety, and user experience. Our cross-disciplinary team, drawn from Texas A&M’s Department of Electrical & Computer Engineering and the Operational Data Science Lab at the Texas A&M Institute of Data Science, seeks to integrate across foundations and practice by (i) applying methods from Data Science, Machine Learning and AI to model and understand the complex relationships within high-dimensional operational datasets including geospatial data and event streams; (ii) developing algorithms that optimize design and operations of facilities subject to outcome goals including cost and performance; (iii) embodying our results in accessible information systems and web-based interfaces; and (iv) working with operational partners for data acquisition, determining relevant project goals and analyses, and aiding implementation.

Required Education: Bachelor’s degree in Engineering, Science or related field or equivalent combination of education and experience. 

Required Experience: Four years of related experience. 

Preferred Education: Appropriate doctoral degree 

Preferred Experience: 

All positions are security-sensitive. 

Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.