Postdoctoral Fellow - IT Management

Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About Scheller College of Business
The Scheller College of Business' Full-time MBA Program is ranked #9 among public universities by Bloomberg BusinessWeek (2021) and U.S. News & World Report (2023). Georgia Tech is one of the nation's leading research universities and consistently ranks among the top public universities in the country. Atlanta is the 9th largest metropolitan area in the U.S. and serves as a cultural and economic hub for the region.

The Information Technology Management (ITM) Area of the Scheller College includes 10 tenured or tenure track faculty members who study a wide range of research topics related to technology, such as fintech, e-commerce, cybersecurity, online labor market, knowledge management, digital marketing, as well as behavioral and social issues related to AI and generative AI. Many of our faculty members serve in editorial roles at premiere business school journals, including one of the Department Editors at Management Science, and the Editor-in-Chief of Information & Management. Our faculty also prides itself on its variety of research methods, ranging from econometrics, statistics, experiments, to analytical modeling, behavioral research, machine learning and other design science methods. Additional information about our faculty can be found at https://www.scheller.gatech.edu/academics-research/it-management/index.html

Atlanta, GA

The Scheller College of Business at the Georgia Institute of Technology in Atlanta, Georgia, seeks applications for a research-focused Postdoctoral Fellow in Information Technology Management (ITM). The initial appointment is for one year and may be renewed for up to three years, depending on satisfactory performance. The postdoc can begin as soon as January 2025 or as late as August 2025 - we are happy to accommodate the timeline that works best for the selected candidate.

Research Focus

The role involves close collaboration with the ITM area faculty on mutually selected research projects in the Economics of Artificial Intelligence. Two preferred areas of focus for our group:

• Studying the AI industry, such as documenting technology firm strategies, characterizing the sources of innovation, and other critical dynamics shaping firms in the AI space. Particular interest includes characterizing strategic differences between large companies and startups, analyzing how labor flows between companies and institutions influence the development of AI technologies, documenting the interplay between the public and private sectors and its effect on innovation, and establishing the critical role of open-source software in this nascent technology.
• Studying the impact of AI technologies on modern business. This includes analyzing how AI affects firm strategy, such as changes in decision-making processes and competitive dynamics. We are also interested in labor outcomes, specifically how AI impacts different types of workers, who can best leverage AI, and how expertise interacts with these technologies.

We are primarily interested in producing empirical research that contributes to journals in Economics and Management. We are particularly interested in candidates who share our passion for (recursively) applying AI to study AI by applying frontier AI technologies as a research tool to capture signals in large datasets.

Responsibilities for this position include:

• Work on high-impact research projects, from conceptualization, data collection, and data analysis to manuscript preparation and publication.
• Teach one 3-credit course each year.
• Perform related duties based on the needs of the ITM area

• A Ph.D. or equivalent degree in economics, management science, computer science, information systems, statistics, operations, or other related quantitative and/or social science domains
• The degree must be completed by the position start date. For example, ABD (All but dissertation) candidates must have successfully defended their dissertation no later than July 1, 2025 for an August 1, 2025 start date.
• Strong analytical, quantitative, and communication skills.

• Expertise in causal inference methods
• Strong programming and data engineering skills, especially familiarity with "big data" technologies and the use of APIs
• Knowledge in machine learning, deep learning, and large language models.
• Prior teaching experience

Applicants should submit:

• A cover letter (please discuss research themes or topics that you'd like to pursue and any relevant research or industry experience)
• Your CV
• Names and contact information of three references as a single pdf file, and
• One published or working paper.

Applicants can contact Professor Daniel Yue daniel.yue@scheller.gatech.edu with outstanding questions.

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

More information on these policies can be found here: https://www.usg.edu/policymanual/section6/c2714 Board of Regents Policy Manual | University System of Georgia (usg.edu).

This is a full-time, one-year, benefits-eligible appointment with the possibility of extension. The salary will be competitive and will commensurate with skills and experience.

The candidate of choice will be required to pass a pre-employment background screening. http://policylibrary.gatech.edu/employment/pre-employment-screening.

Review of applications will begin immediately and continue until the position is filled. To receive full consideration, please submit your application no later than January 15, 2025.

The selection process for the chosen candidates will include passing a pre-employment background screening, submission of transcripts, as well as other pre-employment documents once top candidates have been identified.