Chief Scientist Data and Artificial Intelligence

Chief Scientist for Data and Artificial Intelligence

Chief Scientist for Data and Artificial Intelligence Job Description

A major donor of the College of Engineering (COE) has committed $5M towards this new position in order to establish an Artificial Intelligence (AI) Excellence Initiative in the college that will enhance faculty and student research and education. This position will advance the development, implementation, and integration of AI- and data-driven academic programs and research within the COE and across the UNL campus.

The role requires deep technical expertise, effective collaboration with faculty and industry partners, and broad understanding of AI and data science applications in engineering and related disciplines. The incumbent will help coordinate and support AI-related research initiatives and funding opportunities in the college and on the UNL campus, contribute to AI-related undergraduate and graduate curriculum development, and promote ethical and responsible AI implementation in engineering education and research.

The successful candidate for this position will be a recognized and collaborative leader with a strong understanding of the capabilities and potential implications of AI and data science in higher education, and an ability to position UNL as a leader in engineering and interdisciplinary AI research. The position requires demonstrated experience in managing complex research projects, fostering partnerships, and advancing data-driven innovation that supports faculty and student success.

The College of Engineering (COE) ambitious research goals are supported by cutting-edge facilities, including a $75M research building and a $115M engineering education building opened in 2024. COE is dedicated to delivering a world-class engineering education, including its unique Complete Engineer® Program. Additionally, UNL COE was one of the first three institutions in the nation to receive the ASEE Diversity Recognition Program Silver Award.

We are seeking a technically accomplished, innovative professional with a commitment to advancing research, education, and engagement in the college through the use of AI and data science.

The University of Nebraska–Lincoln is Nebraska’s land-grant research university, is a member of the Big Ten, and ranks among Doctoral Universities with the Highest Research Activity [Carnegie CIHE]. As the state’s flagship institution, UNL plays a key role in the research and innovation landscape within the region and leverages the department’s co-location in Lincoln and Omaha.

The city of Omaha, the largest metropolitan area in Nebraska, is a rising tech hub in the Midwest. Lincoln, the state capital, is also part of a growing high‑tech region known as the “Midwest Silicon Prairie.” Taking advantage of both communities, UNL offers a vibrant, welcoming, family‑friendly community with a strong economy, excellent public school systems, a modest cost of living, and a high quality of life.

Learn more about life in Lincoln and Omaha at  , aboutlincoln.unl.edu , and  .

• Ph.D. degree in computer science, data science, or a related field.
• Five years relevant experience including the following:
  • Leadership in data science or AI project management.
  • Demonstrated success in managing complex data or AI research projects.
  • Strong collaborative skills and ability to work effectively with diverse teams.
  • Experience developing and implementing new initiatives and technical strategies.
  • Strong organizational and time management skills.
  • Ability to mentor staff and students in data and AI-related projects.
  • Aptitude for problem-solving in complex, multidisciplinary environments.
  • Experience engaging with AI-related start‑up companies or innovation initiatives.

• Experience applying AI and data science in engineering-related or interdisciplinary projects in a higher education setting.
• Proven ability to secure external funding and manage research or technical projects.
• Familiarity with emerging technologies and data infrastructure supporting research.
• Commitment to…