Tenure-track Assistant Professor

Statistics Interest Group

Baton Rouge (LA)

On-site

USD 90,000 - 120,000

Full time

39 hours ago
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Job summary

Louisiana State University A&M Baton Rouge seeks a tenure-track Assistant Professor in Statistics to teach and develop graduate and undergraduate courses, participate in graduate committees, and supervise statistical consultants.

The successful candidate will establish an independent and collaborative research program in theory and methods of applied statistics, aiming for externally funded projects and leadership in service to the university and professional societies.

Qualifications

  • Ph.D. in Statistics or related field with evidence of research excellence.
  • Ability to teach graduate and undergraduate statistics courses.
  • Experience in building externally funded research programs.

Responsibilities

  • Teach and develop statistics courses; participate in graduate committees and program development.
  • Develop independent and collaborative research program with potential for external funding.
  • Develop an independent and collaborative research program in theory and methods of applied statistics with funded projects.

Skills

Teaching
Statistical consulting
Research leadership
Communication
Collaboration
Big data analytics
Text mining

Education

Ph.D. in Statistics or closely related field

Tools

R
Python
SAS
Machine learning

Job description

Louisiana State University A&M Baton Rouge – Tenure-track Assistant Professor
Duties and Responsibilities

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.

Position Qualifications

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.

Salary Range Salary will be commensurate with qualifications and experience.
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