Tenure-track Assistant Professor

50% – Instruction – Teach and develop graduate and undergraduate courses in statistics; take an active part in graduate committees, exams, and program development; participate in instructional service programs of the department; supervise students' training as statistical consultants and statistical scientists. In addition, this position will serve as a statistical expert on research teams and provide statistical consultation for scientists in the University Community.
50% – Research – The successful candidate will develop an independent and collaborative research program in theory and methods of applied statistics and develop statistical applications to solve agricultural, biological, social, and other science problems. A candidate should possess the capability to create a nationally and internationally recognized program of externally funded research with the expectation that they will disseminate their research findings.

The candidate should have demonstrated knowledge and awareness of professional developments related to expertise and provide leadership in independent and collaborative research. The position holder should provide leadership in service to the community by engaging in peer review activities, service on academic committees, and participation in professional societies.

Minimum Qualification:

Applicants should have a Ph.D. in Statistics or a closely related field, with a proven interest in applications, demonstrated excellence in research, teaching, consulting, and qualifications necessary to hold a tenured academic rank in the Department.

Preferred Qualifications:

Applicants with expertise in artificial intelligence, machine learning, large language modeling, precision agriculture, causal inference, big data analytics, text mining or other modern applied statistical methods are preferred. Post-doctoral or other experience beyond the Ph.D. is ideal. Experience is highly desired with online and flexible teaching and experiential learning; ability to build collaborations of high impact; ability to be highly effective in a diverse, inter-disciplinary, collaborative, high performing work environment;

ability to work effectively and collegially with university administrators, faculty, staff, and students; and ability to engage in effective verbal and written communication; effective interpersonal, and organizational skills. Research collaboration is encouraged.