Faculty - Data Science

Position Summary: The KAPSARC School of Public Policy (KSPP) invites applications for a faculty position in in data science. We welcome candidates whose research, teaching, and outreach activities broadly focus on the public sector with some connection to public policy, public affairs, and/or economics. The KSPP offers a highly competitive MPP program and executive education programs. Situated in the thriving capital city of Riyadh, Saudi Arabia, on the state-of-the-art KAPSARC campus, the KSPP is well placed to offer students an exceptional educational experience and faculty an exceptional work environment. The KSPP offers a highly competitive salary and benefits package, including children’s educational support, housing support, premier health insurance, and a teaching load of 2:1. The KAPSARC community hosts families from 40 nationalities, offering a welcoming and friendly environment. The KSPP’s vision is to be a world-class education and research institution that prepares the next generation of public policy leaders and professionals within the Kingdom of Saudi Arabia and globally. To achieve this vision, the school is committed to providing high-quality educational programs and creating a bridge between academia, industry, and government. As the first public policy school in the Kingdom of Saudi Arabia, the KSPP is uniquely positioned to offer public policy degrees focusing on management and leadership, energy and climate policy, and data analytics. By providing concentrations in these areas, the school aims to help students develop the skills and knowledge necessary to address pressing policy challenges and make a meaningful impact in their communities and beyond. Responsibilities: The successful candidate must also have a strong theoretical orientation, excellent methodological skills, the ability to publish in highly ranked journals and academic presses, and the potential for effective teaching at the graduate level. Ability to contribute to core courses and/or electives in data science, data visualization, programming, machine learning, artificial intelligence, and civic technology, and contribute to the overall academic environment of the School. Qualifications: The successful candidate must have a Ph.D. in data science or a related field.

The successful candidate must have a Ph.D. in data science or a related field.

The successful candidate must also have a strong theoretical orientation, excellent methodological skills, the ability to publish in highly ranked journals and academic presses, and the potential for effective teaching at the graduate level. Ability to contribute to core courses and/or electives in data science, data visualization, programming, machine learning, artificial intelligence, and civic technology, and contribute to the overall academic environment of the School.