Tenure-Track Assistant Professor of Statistics, University of Cincinnati

The International Society for Bayesian Analysis; Cincinnati (OH); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Comprehensive insurance plans

Flexible spending accounts

Tuition remission for employees and dependents

Generous paid time off options

Discounts for campus activities

Job summary

The University of Cincinnati invites applications for a Tenure-Track Assistant Professor of Statistics in the Department of Mathematical Sciences. This role involves maintaining an active research program, mentoring students, and teaching courses. An ideal candidate will hold a PhD in statistics or a closely related field and begin their appointment on August 15, 2023. UC offers competitive benefits and a strong commitment to diversity.

Qualifications

• PhD degree must be awarded before August 15, 2023.
• Candidates are expected to have a focus on statistics.

Responsibilities

• Maintain active research program in statistics.
• Mentor graduate and undergraduate students.
• Teach graduate and undergraduate courses.

Skills

Statistical machine learning

Statistical methods for big data

Mentorship

Research

Teaching

Education

PhD in statistics or related field

Job description

Tenure-Track Assistant Professor of Statistics, University of Cincinnati

Assistant Professor of Statistics, Department of Mathematical Sciences, University of Cincinnati

Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to more than 47,000 students, 10,500 faculty and staff and 330,000 alumni, UC combines a Top 35 research university with a physical setting The New York Times calls “the most ambitious campus design program in the country.”

With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, eight straight years of record enrollment, worldwide leadership in cooperative education, a dynamic academic health center and entry into the Big 12 athletic conference, UC’s momentum has never been stronger. UC’s annual budget tops $1.6 billion and its endowment totals $1.9 billion.

Job Overview
Applications are invited for a tenure-track Assistant Professor position in statistics within the Department of Mathematical Sciences, which offers BS, MS and PhD degrees in statistics through its Division of Statistics and Data Science. We seek candidates in research areas such as, but not limited to, statistical machine learning and statistical methods for big data.

The Department is dedicated to excellence in both research and teaching. Statistics faculty in the Department are involved in both methodological and interdisciplinary research. They have diverse areas of research interests, which include scalable Bayesian methods, spatial statistics, and statistical methods for massive or complex data, in general, and high-dimensional data analysis, statistical machine learning, uncertainty quantification, and analysis of network data, in particular.

The appointment will begin on August 15, 2023. Review of applicants will begin on December 30, 2022.

Essential Functions

The job duties include:
Maintaining an active research program in statistics.
Mentoring graduate and undergraduate students.
Teaching both graduate and undergraduate courses in statistics.
Filling service roles for the university such as participation in department and college committees.
The standard teaching load for research-active faculty is 6 credit hours per semester. New faculty receive a 25% teaching reduction and reduced service role in each of the first 2 years.

Minimum Requirements
The position requires a PhD degree in statistics or a closely related field with a focus on statistics.
The degree must be awarded before August 15, 2023.

Application Process
Candidates must submit a diversity and inclusion statement (maximum one page) in their application on the University of Cincinnati recruitment system (@ https://jobs.uc.edu , search Requisition # 91535), and upload the following documents either on Mathjobs.org (@ https://www.mathjobs.org/jobs/list/21717 ), or to the UC recruitment system:

Cover letter
Copy of curriculum vitae
Description of research
Description of teaching experience (if applicable) and philosophy
Candidates must also arrange to have three confidential letters of recommendation submitted via mathjobs.org, or sent via email to [e-mail].

Compensation and Benefits
UC offers a wide array of complementary and affordable benefit options, to meet the financial, educational, health, and wellness needs of you and your family. Eligibility varies by position and FTE.

Competitive salary range dependent on the candidate’s experience.
Comprehensive insurance plans including medical, dental, vision, and prescription coverage.
Flexible spending accounts and an award-winning employee wellness program, plus an employee assistance program.
Financial security via our life and long-term disability insurance, accident and illness insurance, and retirement savings plans.
Generous paid time off work options including vacation, sick leave, annual holidays, and winter season days in addition to paid parental leave.
Tuition remission is available for employees and their eligible dependents.
Enjoy discounts for on and off-campus activities and services.
FOR ALL FACULTY HIRES OFFICIAL ACADEMIC TRANSCRIPTS WILL BE REQUIRED AT THE TIME OF HIRE

The University of Cincinnati, as a multi-national and culturally diverse university, is committed to providing an inclusive, equitable and diverse place of learning and employment. As part of a complete job application you will be asked to include a Contribution to Diversity and Inclusion statement.

As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).

The University of Cincinnati is an Affirmative Action / Equal Opportunity Employer / Minority / Female / Disability / Veteran.