The University of Notre Dame is setting up a Center for Social Research and
is looking to hire a data management consultant, a statistical consultant,
and a survey research consultant. The jobs are non-tenure track, but should
afford time to work on your own research and be fairly permanent. I'll post
the job descriptions below, but more information can be found at
https://jobs.nd.edu (this is the portal to apply as well, sorry there is no
direct link to the job ads). Click "search postings" and search on "csr".
The search is genuinely open (no inside candidates and no field preferences)
and we're looking to hire as many highly qualified people as possible.
I may be able to answer some of the questions regarding the positions.
While I am at it, the political science department has two two tenure track
lines this year in American ("institutions" or "behavior with an emphasis on
Latino politics") and in international relations (open to area of focus).
I'd encourage any interested parties to apply to those as well. The job
descriptions should be up on ejobs at the APSA website.
David
---
David W. Nickerson
Assistant Professor
Department of Political Science
University of Notre Dame
email:[log in to unmask] <[log in to unmask]>
web:http://www.nd.edu/~dnickers
*Data Management Consultant
**Job Description* The Data Management Consultant will be a core
contributor to the mission of the CSR. As the primary point of contact for
inquiries related to data management, the Data Management Consultant will be
involved in all phases of research:
- assisting faculty and students with the acquisition, organization,
management, preparation, and utilization of social research data from
organizations including, but not limited to, the Inter-university Consortium
for Political and Social Research (ICPSR), National Opinion Research Center
(NORC), the Roper Center for Public Opinion Research, and government
agencies;
- advising faculty and students in the use of Graphical Information Systems
(GIS) data and software;
- coordinating faculty and graduate students' requests to place or purchase
new and/or revised questions in existing social surveys including, but not
limited to, the General Social Survey (GSS), Panel Study of Income Dynamics
(PSID), and National Election Study (NES); and
- communicating with faculty and students regarding recent updates to
various third party data archives.
The Data Management Consultant will also be responsible for:
- extracting and merging large datasets;
- designing, populating, and maintaining private databases associated with
Notre Dame social research projects; and
- generating descriptive statistics and data visualizations for faculty and
students.
Finally, the Data Management Consultant will be responsible for constructing
and cataloging a publically available web archive of social datasets
generated by faculty and students.
*
Minimum Qualifications* An advanced graduate degree -- Ph.D. preferred
-- in one of the social science disciplines required.
Superior organizational and problem-solving skills.
Excellent written and verbal communication skills, especially the ability to
communicate with faculty members and students.
Strong commitment to providing superior customer service.
Expertise in the acquisition, organization, management, preparation, and
utilization of social research data.
Expert capacity in at least one of the following statistical software
packages: Stata, SPSS, and SAS.
Familiarity with Graphical Information Systems (GIS) data and software.
Ability to prioritize multiple projects while maintaining strong attention
to detail.
*Job Title Statistical Consultant
**Job Description* The Statistical Consultant will be a core contributor
to the mission of the CSR. As the primary point of contact for inquiries
related to quantitative methods and the deployed statistical software
packages utilized by scholars across the entire University, the Statistical
Consultant will be involved in all phases of research:
- assisting faculty and students in developing research design during the
grant writing and proposal stage;
- working with survey research staff during data collection to ensure that
the data meets the needs of the preferred statistical methods;
- facilitating the design of custom methodologies when standard statistical
tools are inappropriate;
- supporting faculty and students in the execution and diagnostics of
quantitative methodology; and
- drafting methodological notes for inclusion in journal articles, books,
and other publications.
The Statistical Consultant will meet with graduate students and
undergraduate students engaged in quantitative social research to help them
understand appropriate statistical concepts for their research needs.
The Statistical Consultant will also instruct graduate and undergraduate
students in non-credit short courses regarding advanced statistical
techniques, data visualization, and introductions to various statistical
computing environments.
Finally, the Statistical Consultant will manage a statistical computing
laboratory.
*Minimum Qualifications* An advanced graduate degree -- Ph.D. preferred
-- in one of the social science disciplines required.
Superior organizational and problem-solving skills.
Highly advanced ability to design and implement advanced quantitative
research methodologies appropriate for social research, utilizing the entire
spectrum of univariate and multivariate techniques including, but not
limited to: regression analysis, factor analysis, hierarchical linear
modeling, structural equation modeling, cluster analysis and other
classification tools.
Expert capacity in at least one of the following statistical software
packages: STATA, SPSS, and/or SAS.
Familiarity with software related to structural equational modeling such as
LISREL or Amos, HLM software for the evaluation of hierarchical linear
modeling, and matrix programming to provide appropriate and customized
quantitative methodologies.
Excellent written and verbal communication skills, especially the ability to
communicate with faculty members and students.
Strong commitment to providing superior customer service.
Ability to prioritize multiple projects while maintaining strong attention
to detail.
*Job Title Survey Research Consultant
**Job Description* The Survey Research Consultant will be a core
contributor to the mission of the CSR. As the primary point of contact for
inquiries related to survey research, the Survey Research Consultant will be
involved in all phases of research:
- assisting faculty and students in the development of survey research
design by applying appropriate sampling techniques, including sampling,
oversampling, stratification, and weighting;
- managing relationships with outside vendors that provide Computer Assisted
Telephone Interviewing (CATI) services and Computer Assisted Personal
Interviewing (CAPI) services;
- drafting methodological notes for inclusion in journal articles, books,
and other publications describing sampling frames, survey research methods
employed, and other technical information to document the research process;
and
- communicating with non-academic departments including, but not limited to,
the Office of Strategic Planning & Institutional Research, Human Resources,
and the Alumni Association regarding survey design, deployment, and
analysis.
The Survey Research Consultant will also be responsible for:
- programming web survey software and deploying web surveys;
- comprehensive fielding of survey instruments, including monitoring
response rates and implementing strategies to convert non-respondents into
respondents; and
- performing initial analyses of data collected.
*Minimum Qualifications* An advanced graduate degree -- Ph.D. preferred
-- in one of the social science disciplines required.
Superior organizational and problem-solving skills.
Excellent written and verbal communication skills, especially the ability to
communicate with faculty members and students.
Strong commitment to providing superior customer service.
Expertise in sampling methods, weighting, and survey design.
Familiarity with web survey programming software such as Vovici.
Expertise in at least one of the following statistical software packages:
Stata, SPSS, and/or SAS.
Ability to prioritize multiple projects while maintaining strong attention
to detail.
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