Tenure-track Assistant Professor in Business Analytics

University of Miami – Tenure-track Assistant Professor in Business Analytics Position Title Tenure-track Assistant Professor in Business Analytics Company Information

Miami is rapidly emerging as a leading global hub for innovation and technology. As the seventh-largest metro area in the United States and one of the fastest-growing cities, Miami continues to attract top talent and investment, particularly in the fields of Technology, Fin Tech, Artificial Intelligence, and Healthcare. With its unique combination of cultural diversity, entrepreneurial spirit, no state income taxes, and favorable climate, Miami is drawing a massive influx of wealth and expertise from around the world.

The city is positioning itself as a center for cutting-edge developments in financial technology, healthcare analytics, life sciences, green technology, and digital transformation.

The University of Miami is among the top-tier higher education institutions in the U.S., known for its academic excellence, superior medical care, and cutting-edge research. We are one of the largest private employers in Miami, home to more than 16,000 faculty and staff from all over the world. At the U, we are committed to attracting a talented workforce to support our common mission of transforming lives through teaching, research, and service.

Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork we strive to create an environment where everyone contributes to making the U a great place to work. For additional information, visit https://(Use the "Apply for this Job" box below)..html

Duties and Responsibilities

• conduct high-quality research,
• teach effectively at the undergraduate and graduate levels, and
• contribute to the department’s missions.

Position Qualifications

We are especially interested in candidates whose research focuses on artificial intelligence, machine learning, or causal inference.

Qualifications. Candidates must hold a Ph.D. in Statistics, or Biostatistics by the start of the appointment.

We seek candidates with:

• strong methodological training,
• a promising research agenda,
• excellent communication skills, and
• a genuine interest in interdisciplinary collaboration.