-------- Original Message -------- Subject: [APA] Position announcement at Virginia Tech Date: Mon, 19 Nov 2018 12:01:31 -0500 From: Yasuo Miyazaki yasuom@VT.EDU Reply-To: Yasuo Miyazaki yasuom@VT.EDU To: DIV5@LISTS.APA.ORG
Dear List,
Please apply or distribute the info. below to those who may be interested.
Thanks.
Yasuo Miyazaki, Ph.D.
Associate Professor
Educational Research and Evaluation
Faculty of Leadership, Counseling and Research
School of Education
Virginia Tech Corporate Research Center
1750 Kraft Drive/Suite 2107 (0302)
Email: yasuom@vt.edu mailto:yasuom@vt.edu
Phone: 540-231-9731
Fax: 540-231-7845
*Tenure-Track Assistant Professor, Educational Research and Evaluation Program,*
*School of Education, Virginia Tech*
The Educational Research and Evaluation (EDRE) Program in the School of Education at Virginia Polytechnic Institute and State University (Virginia Tech) is seeking applicants for the position of Tenure-Track Assistant Professor, with a starting date of August 10, 2019.
The Educational Research and Evaluation program is a doctoral program in the School of Education, College of Liberal Arts and Human Sciences, at Virginia Tech. The program produces research methodologists who work in education, the social sciences, and other fields, disciplines, and work environments. The program offers four focus areas that include applied statistics, evaluation/assessment, measurement, and qualitative methods.
*Responsibilities*: The successful candidate will teach graduate level courses, conduct research, publish in scholarly journals, and pursue external funding in a collaborative environment – Program, School, College, and University. The standard teaching load includes two graduate-level courses per academic year semester, which could include structural equation modeling (SEM), multivariate statistics, multiple regression, or a special topic in quantitative research methods. Some of these courses may be delivered online or remotely in real time to students who are not on the Blacksburg campus. The successful candidate will advise doctoral students in the EDRE program and serve on other student advisory and dissertation committees. He or she will also be expected to provide various forms of service to the EDRE program, the School of Education, the College of Liberal Arts and Human Sciences, and/or the university. The position may include occasional travel to attend professional meetings or conferences.
*Qualifications*:
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*/Required Qualifications/*: Applicants must have an earned doctorate (prior to August 10, 2019) in educational research or a closely related field, and extensive formal training in quantitative research methodology as it is applied to education. More specifically, in-depth knowledge of SEM, multiple regression, and multivariate statistics is required. Applicants must also show evidence of, or potential for, a program of research that includes methodological research on quantitative research methods.
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*/Preferred Qualifications/*: In-depth knowledge of mathematical statistics and econometrics is preferred, as are in-depth knowledge of, and computing skills for, computer-intensive statistical methods such as simulation, bootstrapping, propensity score methods, and Bayesian statistics. Other preferred computing skills include the ability to program in environments such as R, STATA, SAS, or SPSS.
*Application*:
/Application materials should include the following:/
1. A detailed cover letter that addresses the applicant’s professional qualifications for the position and his or her current research agenda and plans for future research.
2. A current curriculum vitae.
3. Unofficial copies of transcripts* *for all undergraduate and graduate education completed.
4. Two writing samples (e.g., scholarly publications, technical reports), at least one of which must have a methodological focus.
5. Three names and contact information of professional references. These references will be contacted by email through the automated software immediately after your application has been submitted.
Review of applications will begin on January 1, 2019 and will continue until the position is filled.
*Submission*:
Application materials must be submitted online at www.jobs.vt.edu (select /Search Postings/ and posting number TR0180180). Employment is contingent upon a submission of official university transcripts and a criminal background check.
Questions may be directed to Dr. Yasuo Miyazaki, Search Committee Chair, by email at yasuom@vt.edu mailto:yasuom@vt.edu or by phone at (540) 231-9731. During Dec. 16, 2018 – Jan. 10, 2019, contact Dr. Gary Skaggs, Program Leader, gskaggs@vt.edu mailto:gskaggs@vt.edu, 540-797-0799.
Virginia Tech [http://www.vt.edu] is a public land-grant, comprehensive, multi-campus research university serving all regions of the Commonwealth of Virginia, the nation, and the world community. The discovery and dissemination of new knowledge are central to its mission. Through its focus on teaching and learning, research and discovery, and outreach and engagement, the university creates, conveys, and applies knowledge to expand personal growth and opportunity, advance social and community development, foster economic competitiveness, and improve the quality of life. As the commonwealth’s most comprehensive university and its leading research institution, Virginia Tech offers about 280 undergraduate https://vt.edu/admissions/undergraduate.html and graduate https://graduateschool.vt.edu/admissions.html degree programs to more than 34,000 students. Virginia Tech has a strong commitment to the diversity of its faculty, staff, and student body, and applications are encouraged from individuals of diverse backgrounds. The main campus of Virginia Tech* *is located in Blacksburg, Virginia, a college town that is situated in the scenic Appalachian Mountains, where a wide variety of opportunities for outdoor recreation are available.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, or veteran status; or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees, or applicants; or any other basis protected by law. For inquiries regarding non-discrimination policies, contact the Office of Equity and Access at 540-231-2010 or Virginia Tech, North End Center, Suite 2300 (0318), 300 Turner St. NW, Blacksburg, VA 24061.
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