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Open nowPosted 21 days ago

Assistant Professor of Experimental Statistics (Tenure Track)

LSU Manship School of Mass Communication278 open roles

Where
0141 Martin D Woodin Hall
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Your applicationOpen nowAssistant Professor of Experimental Statistics (Tenure Track)LSU Manship School of Mass Communication · 0141 Martin D Woodin Hall

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. LSU Manship School of Mass Communication postings stay open a median of 14 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 21 days ago

LSU Manship School of Mass Communication median: 14 days open

The posting

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).

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Job Posting Title:

Assistant Professor of Experimental Statistics (Tenure Track)

Position Type:

Faculty

Department:

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

Work Location:

0141 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 Assistant Professor position in the Department of Experimental Statistics (EXST). The individual's academic appointment will be 100% A&M campus with independent and collaborative research, teaching, and consulting responsibilities.

Job Duties:

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 – 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. 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. Demonstrate knowledge and awareness of professional developments related to expertise and provide leadership in independent and collaborative research. 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, LLM, precision agriculture, causal inference, big data analytics 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 an 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.

Salary: Salary will be commensurate with qualifications and experience.

Additional Position Information:

Background Check: An offer of employment is contingent on a satisfactory pre-employment background check.

Additional Job Description:

Special Instructions:

Required attachments include a letter of application, curriculum vitae/resume, transcripts, contact information for at least 3 references, statement of teaching and research interests, and evidence of expertise in statistical sciences. A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required before hiring.

Application review begins immediately and continues until the position is filled. Inquiries should be addressed to:

Dr. Luis Escobar Department of Experimental Statistics Louisiana State University 159A Woodin Hall Baton Rouge, LA 70803 Phone 225-578-8378 Email [email protected]

Skills Needed:

Preferred Skills:

Posting Date:

October 14, 2026

Closing Date (Open Until Filled if No Date Specified):

April 12, 2027

Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):

LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university’s ability to employ individuals in certain positions.

HCM Contact Information:

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email [email protected]. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

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