What are the responsibilities and job description for the Pre-Doctoral Research Fellow, Tech Ethics position at University of Notre Dame?
Yong Suk Lee, Program Chair in Technology Ethics for the Notre Dame Ethics Initiative and Associate Professor at the Keough School of Global Affairs is accepting applications for one pre-doctoral research fellow to begin as soon as possible in Fall 2024. The position will last for one year, with an opportunity for extension.
Professor Lee studies how new technologies such as AI will influence work and workers and the ethical and policy implications of AI. Most research will be conducted with large-scale observational data using applied microeconometric techniques (e.g. diff-in-diffs, RDs, etc), survey experiments, as well as applied machine learning tools. Prior research experience using these methods and large datasets will be preferred. More information on Professor Lee’s research can be found at https://sites.google.com/view/yongslee
Responsibilities
Project Management:
The ideal candidate will be detail oriented, have strong coding skills, and experience with research using statistical programming (e.g., STATA, R, Python).
Required
Application Instructions
Please Upload The Following Documents To Interfolio
Contact: Any questions regarding this opportunity should be addressed to tech-ethics@nd.edu.
Equal Employment Opportunity Statement
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and is committed to building a culturally diverse workplace. We strongly encourage applications from female and minority candidates and those candidates attracted to a university with a Catholic identity. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and requires affirmative action by covered contractors to employ and advance veterans and qualified individuals with disabilities in compliance with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a).
Background Check
This appointment is contingent upon the successful completion of a background check. Applicants will be asked to identify all felony convictions and/or pending felony charges. Felony convictions do not automatically bar an individual from employment. Each case will be examined separately to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty with respect to felony disclosures can result in the disqualification of a candidate. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597.
Professor Lee studies how new technologies such as AI will influence work and workers and the ethical and policy implications of AI. Most research will be conducted with large-scale observational data using applied microeconometric techniques (e.g. diff-in-diffs, RDs, etc), survey experiments, as well as applied machine learning tools. Prior research experience using these methods and large datasets will be preferred. More information on Professor Lee’s research can be found at https://sites.google.com/view/yongslee
Responsibilities
Project Management:
- Drive a portfolio of developing and active research projects forward
- Act as the lead research assistant to and project manager for Dr. Lee on his portfolio of projects focused on technology and labor
- Liaise between other researchers and relevant parties
- Assist in the composition of research grant proposals
- Carry out IRB procedures for assigned projects
- Data acquisition, management and cleaning.
- Maintain program data on Notre Dame’s secure servers
- Analyze data and present results to researchers and agency partners
- Maintain code repositories
- Support in writing up results for academic articles
- Draft policy briefs and other materials for broader audiences
The ideal candidate will be detail oriented, have strong coding skills, and experience with research using statistical programming (e.g., STATA, R, Python).
Required
- An interest in the societal and ethical implications of technology
- Bachelor’s or master’s degree in economics, computer science, mathematics, or related social science fields
- Training in econometric and statistical techniques employed in social science research
- Statistical programming experience (STATA, R, Python)
- Highly organized with ability to juggle multiple demands simultaneously
- Strong written and oral communication skills
- Self-directed, with willingness to take initiative over project tasks and explore potential evaluations
- Experience working for economics researchers as a research assistant
- Experience communicating or working with industry or government partners
Application Instructions
Please Upload The Following Documents To Interfolio
- A cover letter describing your interest in this position, your familiarity with programming languages (e.g. Stata, R, Python), your prior experience as a research assistant and/or with independent research projects, your preferred timeline, and names and e-mail addresses of two references (letters not required yet)
- A current CV
- An unofficial transcript of your undergraduate (and graduate) coursework
- A writing sample (e.g. course paper or a thesis).
Contact: Any questions regarding this opportunity should be addressed to tech-ethics@nd.edu.
Equal Employment Opportunity Statement
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and is committed to building a culturally diverse workplace. We strongly encourage applications from female and minority candidates and those candidates attracted to a university with a Catholic identity. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and requires affirmative action by covered contractors to employ and advance veterans and qualified individuals with disabilities in compliance with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a).
Background Check
This appointment is contingent upon the successful completion of a background check. Applicants will be asked to identify all felony convictions and/or pending felony charges. Felony convictions do not automatically bar an individual from employment. Each case will be examined separately to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty with respect to felony disclosures can result in the disqualification of a candidate. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597.
Salary : $50,000