Adjunct/Visiting Faculty Position - Data Science
Date: Oct 9, 2024
Location: Riyadh, SA
Company: KAPSARC
Position Summary:
The KSPP is a newly established graduate school that offers master’s and executive education programs. The first cohort of master’s students commenced their graduate studies in the fall of 2024. 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.
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.
The KAPSARC School of Public Policy (KSPP) invites applications for a Adjunct/Visiting faculty position in Data Science. We welcome candidates from any subfield of Dat Science, including those with research interests that intersect with political science, decision science, and/or economics.The KSPP offers a highly competitive salary and benefits package, including children’s educational support, housing support, and premier health insurance.
Responsibilities:
- The successful candidate will be expected to carry out impactful research, teach courses related to the candidate’s research field, contribute to core courses and/or electives in public sector management and leadership, supervise capstone projects, and contribute to the overall academic environment of the School.
Qualifications:
- PhD or equivalent degree in data science or similar discipline and strong teaching, research, and services record