human finger pointing inside the head of a robot depicting machine learning.

AI and Data Science

Faculty Positions

Artificial Intelligence (AI) and data science are transforming our world. Both fields are at the forefront of innovation in robotics, health care, system design, media forensics, infrastructure, materials science, sustainability, and countless other areas that are key to the United States’ future economy and security. 

Properly deployed, these tools offer hope for solving complex problems like detecting fraud buried deep in financial systems, reducing human bias in the judicial system, improving emergency response to natural and man-made disasters, enhancing manufacturing, supply chains and transportation systems, and improving human well-being through smart and connected communities.

A new model for multidisciplinary collaboration

Recognizing the transformative potential of AI, the School of Engineering and Applied Sciences at the University at Buffalo seeks applicants for a multi-departmental faculty core group that will engage collaboratively on a variety of shared problems that can benefit from the application of emerging data science tools.

This unprecedented faculty hiring initiative is part of the Provost's Advancing Top 25: UB Facuilty Hiring initiative, in the broader  area of Transformational Technology.

Faculty appointments at all three levels (assistant, associate, and full professor) are anticipated, with one hire each in the Departments of Civil, Structural and Environmental Engineering, Computer Science and Engineering, Industrial and Systems Engineering, Mechanical and Aerospace Engineering, and Materials Design and Innovation. The core group will emphasize a new model for multidisciplinary collaboration, both among faculty within this group and with existing colleagues across the School of Engineering and Applied Sciences and the University at Buffalo. Applicants should have a strong and demonstrated commitment to engagement in collaborative research and education. 

Departments and desired expertise

Applicants are asked to clearly identify the home department to which their application should be directed. Preferred areas of expertise within the departments include but are not limited to:

Smart urban water systems, environmental sensing and real-time control

AI theory development, optimization, natural language processsing, customized and connected learning

Data fusion and intelligence modeling for connected mobility or manufacturing

Data-driven materials design for sustainable infrastructures