Tenure-Track Data Science Statistics Professor

TopSciNet; Kingston (RI); Híbrido; USD 90.000 - 120.000; Jornada completa

Descripción de la vacante

The University of Rhode Island in Kingston, RI invites applications for a tenure-track Assistant Professor of Statistics with a focus on Data Science, starting in Academic Year 2026–2027. The position remains open until filled, with priority for applications received by January 5, 2026.

URI is a public R1 research university with about 17,000 students. The department emphasizes statistics and data science, offering opportunities for teaching, research, and external funding, in a collaborative,

Formación

• PhD in statistics, biostatistics, data science, or related discipline.
• Ability to publish in peer‑reviewed journals and develop externally funded research.
• Capacity to teach graduate and undergraduate statistics and data science courses.
• Strong communication with diverse groups and collaborators.

Responsabilidades

• Teach and develop undergraduate and graduate statistics and data science courses.
• Develop and maintain a collaborative externally funded research program.
• Advise and supervise undergraduate and graduate students.
• Contribute to service activities within the department and university.
• Pursue external funding opportunities and participate in curriculum development.
• Provide consulting support to students and faculty as needed.

Conocimientos

Teaching statistics

Data science

Research publication

Grant writing

Interpersonal communication

Educación

PhD in statistics

PhD in biostatistics

PhD in data science

Herramientas

R

Python

Jupyter

Descripción del empleo

The University of Rhode Island in Kingston, RI invites applications for a tenure-track Assistant Professor of Statistics with a focus on Data Science, starting in Academic Year 2026–2027. The position remains open until filled, with priority for applications received by January 5, 2026.

URI is a public R1 research university with about 17,000 students. The department emphasizes statistics and data science, offering opportunities for teaching, research, and external funding, in a collaborative,