Assistant Professor Quantitative Methods, Department of Politics

Job description

Job location: Charlottesville, VA


Employment Type: Full-time
Posted data: 2021-02-12
Req: R0021859

The Department of Politics seeks applications for a three-year Assistant Professor General Faculty appointment in quantitative methods. Candidates should have a strong interest in teaching at both the graduate and undergraduate levels, an active research agenda, and a willingness to contribute to the scholarly life of the Department of Politics. Candidates will be expected to teach courses in the Department’s graduate quantitative methodology sequence, including seminars in linear models, maximum likelihood estimation, and the department’s math camp for first-year graduate students. Teaching responsibilities also include a non-credit course each semester consisting of regular consultation with graduate students on the quantitative component of course papers, qualifying papers for the minor in methodology, and MA and Ph.D. theses. The candidate will have the opportunity to participate in the College’s Quantitative Collaborative and other programs in the Department of Politics.

Applicants must have received their Ph.D. by the time of appointment.

Review of applications will begin on March 5, 2021, and will continue until the position is filled. The appointment begins with the fall semester of 2021.

TO APPLY:

*** Please note that ALL REQUESTED documents MUST be uploaded in the cv/resume box, and you can combine documents into one PDF. ***

**Applications that do not have all the required documents will not receive full consideration.***

Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs search for requisition # R0021859, complete the application, and attach the following:

  • Cover letter describing (1) areas of research and teaching interest, (2) demonstrated past experience teaching and mentoring, including courses previously taught, and (3) the candidate’s plans for engaging with the department. The cover letter also must discuss experience working on issues of diversity, equity, and inclusion, and/or working with diverse populations.
  • Current curriculum vitae.
  • Research statement (not to exceed five pages).
  • Teaching philosophy (not to exceed one page). One article-length writing sample.
  • Three letters of recommendation, at least one of which speaks directly to the candidate’s training and potential for excellence in teaching quantitative methods. Letters must be submitted directly to: pol-methods-search2021@virginia.edu.

Questions about this position should be directed to: Todd Sechser, Professor, Department of Politics, at todd.sechser@virginia.edu. Questions regarding the application process should be directed to: Nicole Robinson, Faculty Search Advisor at nr7f@virginia.edu.

The University will perform background checks on all new faculty hires prior to making a final offer of employment.

UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more please visit https://dualcareer.virginia.edu. For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

 

 

 

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Job No:
Posted: 2/13/2021
Application Due: 5/14/2021
Work Type: Full Time
Salary: