Stanford University

CAREERS + OPPORTUNITIES

Full-Time Postdoctoral Fellows

Stanford Institute for Human-Centered Artificial Intelligence
Stanford Digital Economy Lab

Posted
August 11, 2021

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Position
The Stanford Digital Economy Lab (S-DEL) is currently seeking two (2) Full-Time Postdoctoral Fellows to begin as early as winter 2021 and end in June 2024.

Employer
Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Stanford Digital Economy Lab

Location
Stanford, CA

Deadline
Applications will be considered on a rolling basis until both positions are filled. To guarantee full consideration, please submit by October 1, 2021.

Job description

Postdoctoral Fellows

S-DEL is currently seeking two Postdoctoral Fellows. Both positions will focus on key topic areas related to the digital economy. Each hire will have a priority project, led by Professor Erik Brynjolfsson, as well as the opportunity to work with other Stanford faculty and PIs on additional topics. Priority projects will be shaped based on shared interests, available data, and alignment with S-DEL’s research priorities. S-DEL has five general areas of research:

AI & The Future of Work
Our research seeks to understand the evolution of the global workforce in a rapidly changing digital economy. AI and other digital technologies have the potential to radically transform work, including the displacement of workers, the creation of new types of organizations, and changes in productivity and performance. We also examine the effects of automation and augmentation of the workforce, as well as the impact that AI and robotics will have on employment, wages, and inequality.

Measuring the Digital Economy
Our research team explores and creates better methods and models to measure the health of an increasingly digital-centric economy. We are building new metrics for measuring the digital economy, including changes in consumer well-being that capture the value of currently unmeasured—and often free— digital goods and services.

Data-Driven Decision-Making and Management Practices
Our research measures, assesses, and predicts how data-driven decision-making and management practices are impacting the global economy and workforce. We have access to large data sets, including US Census Data, and have the ability to add questions to the Management and Organizational Practices (MOPS) survey, which includes 50,000 manufacturers in the United States.

Economic and Productivity Impacts of COVID-19
In a short span of time, the COVID-19 pandemic drastically disrupted the way we live and work—and will have profound effects on the economy and productivity for years to come. Our research team is examining how businesses and workers are adapting to measures, such as lockdowns and remote working, brought on by the pandemic. We offer insights, models, and analysis to help business leaders, lawmakers, and the public solve challenges posed by COVID-19.

Digital Platforms
Digital technologies are allowing companies to spawn new business and economic value in ways unthinkable just a decade ago. These technological advancements have virtually eliminated constraints on business and competition while creating opportunities for winner-take-most markets. At the same time, digital and intelligent technologies are vastly reducing search and transaction costs while improving the matching of even traditional goods and services. Our research examines how these digital platforms operate and how they could affect society, business, and the economy

Across the above five workstreams, S-DEL is engaged in over 45 different individual research projects, with a growing network of faculty and researchers from across campus and from other institutions around the world. We encourage multi-disciplinary engagement. In addition to specific priority projects, each postdoctoral associate will have the opportunity to work with other researchers at Stanford and within our network of fellows. Our research projects balance rigor and relevance, aiming to produce papers for top academic journals while also informing policy and practice through other contributions.  

Requirements
Highly motivated postdoctoral researcher(s) with extensive experience in (1) data processing, data analysis, and econometrics; and (2) familiarity with and interest in the literatures on innovation, organizational economics, and/or business strategy.  Must be able to work well with academics and industry executives alike. English language skills (verbal and written) must be strong. Ph.D. in Economics or a Management Science field. 

Salary
Commensurate with experience and competitive with similar positions.

To apply  
Please submit an application here to include a CV, cover letter, publications or working papers, and references. Zoom interviews will be scheduled this fall.

Note: This form will also allow you to apply for the postdoc position at the Stanford Golub Capital Social Impact Lab if you wish to be considered.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. 

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

About us

The Stanford Digital Economy Lab brings together an interdisciplinary group of passionate researchers to study how digital technologies are transforming work, organizations, and the economy. Our insights are helping companies, policymakers, students, and professionals rise to the challenges and opportunities created by digitization. We believe in the power of human work and that augmenting human capabilities with machine capabilities will lead to the most profitable gains for everyone.

The Lab is part of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and is co-sponsored by the Stanford Institute for Economic Policy Research (SIEPR).

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