Instructional-Track Faculty Position in Statistics: Lecturer Department of Statistics and Actua[...]

The International Society for Bayesian Analysis; Iowa City (IA); On-site; USD 60,000 - 90,000; Full time

Job summary

An established industry player is seeking a passionate lecturer in statistics to join their instructional track. This role offers the opportunity to teach and inspire students in a dynamic academic environment, contributing to a department known for its strong research interests in Bayesian inference, statistical genetics, and data science. The ideal candidate will possess a Master's or Ph.D. in statistics, excellent communication skills, and a commitment to fostering diversity and inclusion in education. If you are ready to make a significant impact in the field of statistics and engage with a vibrant academic community, this position is perfect for you.

Qualifications

• Master’s or Ph.D. in statistics or related area required.
• Experience teaching statistics courses at the collegiate level.

Responsibilities

• Assume duties of an instructional-track faculty position in statistics.
• Teach statistics courses and engage in departmental research.

Skills

Excellent communication skills

Teaching experience

Statistics knowledge

Research interests in statistics

Education

Master’s in Statistics

Ph.D. in Statistics

Tools

Linux

Windows

High-performance computing

Job description

Instructional-Track Faculty Position in Statistics: Lecturer, Department of Statistics and Actuarial Science, University of Iowa

Jul 26, 2022

The Department of Statistics and Actuarial Science at the University of Iowa invites applications for an instructional-track position in statistics at the rank of lecturer starting August 16, 2023.

Applicants must possess a Master’s or a Ph.D. in statistics or a related area prior to August 16, 2023. A Ph.D. is preferred.

Excellent communication skills and experience teaching at the collegiate level are required. Experience teaching statistics courses and shared research interests with current faculty are desired. Candidates must be able to assume the duties of this position and be legally authorized to work in the United States by the start date.

Applicants should submit applications online at https://jobs.uiowa.edu/faculty/view/74528. To ensure consideration, all materials must be received by November 15, 2022, but screening will continue until the position is filled.

Application materials should include a letter of interest, a current CV, a Statement on Teaching, a Statement on Diversity, Equity, and Inclusion, Ph.D. thesis title and abstract, graduate transcripts, and a list of references with contact information. Three references are required, and they should address the applicant’s potential for excellence in teaching. References will be notified by email with instructions for submitting their letters.

The department has 14 tenured and tenure-track faculty and 2 instructional-track faculty, including four Fellows of the American Statistical Association. The Ph.D. program offers concentrations in actuarial science/financial mathematics, biostatistics, data science, and probability/mathematical statistics. The department’s research interests include computational statistics, statistical genetics, spatial statistics, Bayesian inference, time series, categorical data analysis, bioinformatics, medical image analysis, data visualization, statistical learning, and actuarial science. The department maintains Linux and Windows networks and has invested in the university’s high-performance computing cluster (http://hpc.uiowa.edu).

Founded in 1847, the University of Iowa offers over 200 areas of study to its 28,000 students. Notable features include a large university-owned teaching hospital and the renowned Writers’ Workshop, which has fostered talents like Ray Bradbury, John Irving, and Kurt Vonnegut.

The Department and College are committed to diversity and encourage all qualified applicants to apply. The university is an equal opportunity/affirmative action employer, and all employment decisions are made without regard to race, creed, color, national origin, age, sex, pregnancy, sexual orientation, gender identity, genetic information, religion, disability, or veteran status.