Tenure Track Assistant Professor, Statistics and Data Scientist
Job no: 499280
College / VP Area: College of Ag & Natural Res
Work type: Faculty
Categories: Applied Economics & Statistics, Full Time
POSITION: The Department of Applied Economics and Statistics at University of Delaware (UD) invites applications for a full time, tenure-track Assistant Professor in Statistics to begin fall 2023. The position will be a 9-month, academic-year appointment with approximately 60% of time devoted to research and 40% of time devoted to teaching. The new hire will have the opportunity to contribute to our goal of a new Ph.D. program in Statistics.
Research: Successful candidates will demonstrate the drive and vision to develop an innovative, cutting-edge, and internationally recognized research program in Statistics, as well as to collaborate with researchers within and outside the University. Specifically, Statistics faculty at UD have the opportunity to participate in interdisciplinary collaborations with the Data Science Institute (https://dsi.udel.edu/), Center for Bioinformatics and Computational Biology (https://bioinformatics.udel.edu/), Center for Applications of Mathematics in Medicine (http://www.mathandmedicine.org), the Delaware Health Sciences Alliance (http://www.delawarehsa.org/), College of Health Sciences (https://www.udel.edu/academics/colleges/chs/ ), and the Institute for Financial Services Analytics (http://lerner.udel.edu/centers/research-centers/institute-for-financial-services-analytics/), among others.
Teaching: A tenure-track assistant professor will be responsible for teaching three courses per year on topics such as biostatistics, applied multivariate analysis, and/or machine learning among other possible topics according to the interests of the candidate and the needs of the department. Teaching could include support for the BS Statistics, MS Statistics, and online MS Applied Statistics.
Service: All members of the Department of Applied Economics and Statistics contribute to Department/University/Professional service activities and to the departmental mission of statistical literacy on campus.
REQUIREMENTS: A Ph.D. in Statistics (or a closely related field) with research interests in Applied and Theoretical Statistics, Biostatistics, Machine learning, Bioinformatics, Data Science, or Economics, among other related areas of application. The successful candidate will have a proven track record of excellence in research and a demonstrated commitment to high quality teaching at both the undergraduate and graduate levels. We seek individuals that will incorporate diversity, equity, and inclusion into their research, teaching, and mentoring both at the graduate and undergraduate levels.
GENERAL INFORMATION: The Department of Applied Economics and Statistics is an interdisciplinary academic unit within the University of Delaware’s College of Agriculture and Natural Resources. Currently, the Department consists of 17 full-time faculty who teach and supervise approximately 100 undergraduate majors and 80 graduate students. The Department includes the Statistical Laboratory, which services clients both on and off campus and the Center for Experimental & Applied Economics, an experimental economics laboratory. The University of Delaware is located in scenic Newark, Delaware, within 2 hours of New York, Philadelphia, Baltimore, and Washington, D.C. The University is a Land Grant, Sea Grant, Space Grant, and Carnegie Research University, with external funding exceeding $250 million. A recipient of a NSF ADVANCE Institutional Transformation award, UD has a service to assist dual-career couples and supports work-life balance through family-friendly policies.
SALARY: University of Delaware salaries and fringe benefit packages are highly competitive. Tenure-track professors receive one semester sabbatical leave during the third year of the appointment. A highly competitive start-up package will be available.
DEADLINE: Review of applications will begin on November 7, 2022, and continue until the position is filled.
APPLICATION: To apply, submit an application including: (i) a letter of application, (ii) a curriculum vitae, (iii) one statement of research interests, (iv) one statement about teaching including courses taught, (v) up to three samples of research, (vi) a statement describing your previous efforts and future plans to create a diverse and inclusive learning environment and (vii) at least three references. (Letters of Recommendation will be requested at time of application submission) Submitted documents will be shared with departmental faculty.
EQUAL EMPLOYMENT OPPORTUNITY: The University of Delaware is an Equal Opportunity Employer which encourages applications from minority group members, women, individuals with a disability and veterans. The University's Notice of Non-Discrimination can be found at http://www.udel.edu/aboutus/legalnotices.html. Employment offers will be conditioned upon successful completion of a criminal background check. A conviction will not necessarily exclude you from employment.
For questions about the position, contact Dr. Jing Qiu (firstname.lastname@example.org), Chair, Statistics Faculty Search Committee, Department of Applied Economics and Statistics, University of Delaware, Newark, Delaware.
Notice of Non-Discrimination, Equal Opportunity and Affirmative Action
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.
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