Assistant Professor of Experimental Statistics

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Job Posting Title:

Assistant Professor of Experimental Statistics

   

Position Type:

Faculty

   

Department:

LSUAM COA - Department of Experimental Statistics (Bin Li (00006558))

   

Work Location:

Martin D Woodin Hall

   

Pay Grade:

Academic

   

Job Description:

Louisiana State University A&M Baton Rouge, LA, seeks candidates for a 9-month tenure-track faculty position in the Department of Experimental Statistics (EXST). The individual's academic appointment will be 80% LSUA&M / 20% LSU Ag Center campus with independent and collaborative research, teaching, and consulting responsibilities.

General Information:

LSU is among a handful of distinguished universities that enjoy Land, Sea, and Space Grant status. Louisiana State University represents the largest institution of higher education in the state and is the public university designated a Carnegie Research University with Very High Research Activity. The University offers vital research opportunities for graduate and undergraduate students as it transforms new technology into enterprise and lends expertise to solve endemic problems. Ample collaborative opportunities are available. Louisiana State University maintains state-of-the-art research facilities. Faculty have access to extensive infrastructure and collaborative opportunities within the Department and across campus. Enriched by Louisiana's natural and cultural distinctiveness, the learning community at Louisiana's flagship university prepares students to meet the environmental, social, economic, scientific, creative, and educational challenges that confront us locally and globally.

 

The Department of Experimental statistics consists of 6 faculty members, 3 instructors, 1 administrative coordinator, and approximately 25 masters-level graduate students in applied statistics. The department currently offers a Master of Applied Statistics, a Ph.D. degree in Statistics, and a graduate minor. The department supports the University in offering undergraduate and graduate-level statistical training and provides statistical consulting services for researchers across campus.

Job Duties & Responsibilities:

40% - Instruction - Teach and develop graduate and undergraduate courses in statistics, and be willing to participate in the department’s online program

60% - Research – 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 demonstrate knowledge and awareness of professional developments related to their expertise and provide leadership in both independent and collaborative research. They should take an active part in graduate committees, exams, and program development, participate in the department's instructional service programs, and supervise students' training as statistical consultants and statistical scientists. Additionally, this position will serve as a statistical expert on research teams and provide statistical consultation to scientists within the University Community.

Minimum Qualifications:  Ph.D. degree or equivalent in statistics or related area. Experience in applications, demonstrated excellence in research, teaching, consulting, and qualifications necessary to hold a tenured academic rank in the department. 

Preferred Qualifications:  Ph.D. degree or equivalent in statistics or related area. Expertise in artificial intelligence, machine learning, precision agriculture, causal inference, big data analytics, text mining or other modern applied statistical methods are preferred. Post-doctoral or other experience beyond the PhD. 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 stud