MIT Sloan is building a group of highly skilled, collaborative, and motivated individuals to conduct research with our faculty as full-time predoctoral research assistants for a period of one to two years. Our intention is to provide experience in and exposure to academic research at a top-tier institution, with the goal of assisting predocs in determining whether an academic or research career is right for them. We will also provide guidance on admission to top PhD programs.
Pathways to Research and Doctoral Careers (PREDOC)
Predoctoral research programs provide valuable early-career exposure to research techniques and offer participants a preview of what to expect in an academic career. The Pathways to Research and Doctoral Careers (PREDOC) consortium aims to foster a talented, diverse, and inclusive population in the quantitative social sciences, with a long-term goal of increasing diversity among faculty in business schools and economics departments.
Please direct questions related to MIT Sloan Predoctoral opportunities to Ray Reagans.
Cross-cultural management—the management of individuals of different cultural backgrounds and values—is crucial in the 21st century. This research advances cross-cultural management through two distinctive research streams. The first research stream uncovers the “Bamboo Ceiling,” a puzzling phenomenon whereby some Asian subgroups are underrepresented in leadership in the US despite their educational and economic achievements. These studies systematically examine the scope, mechanisms, and potential solutions of the Bamboo Ceiling. The second research stream elucidates how multicultural experiences (e.g., working abroad, intercultural friendships) shape outcomes key to organizations, including individuals’ leadership, creativity, and ethics.
Skills required: conscientious, passionate about social science research, statistical and programming skills (R and STATA preferred), English proficiency.
Start date: Currently open
The project is a worldwide study of the relationship between credit expansions, macroeconomic fluctuations, and financial crises. The study is based on the construction of a large and novel database on the sectoral distribution of private credit for 116 countries starting in 1940. The project is motivated by the observation that many credit booms end in financial crises, but others are linked to more benign macroeconomic outcomes. Theory predicts that the sectoral allocation of credit --- what credit is used for --- matters for distinguishing between these “bad” and "good" credit booms. These novel data allow us to more closely examine the nature of credit booms and how the characteristics of credit booms shape their aftermath. These results will inform macro-finance models of credit cycles and financial crises, as well as the policy response to these booms. This is a large ongoing research project and has recently been awarded with the European Systemic Risk Board's Ieke van den Burgh Prize.
Skills required: Proficiency in Stata and Python are required
Start date: July 2022
My research interests use applied-micronomics tools to study the returns to healthcare spending and interventions, as well as child welfare policies and practices.
Skills required: Proficient in Stata or R
Start date: July 2022
My work investigates the implications of workplace policies and management practices for firms, workers, and families. I am interested in specific organizational changes and work conditions and how they affect organizational performance, workers' wellbeing, and equity. I am currently engaged in collaborative research on participatory work practices in warehouses and the impact of family leaves and flexibility initiatives on careers, as part of understanding and potentially reducing gender inequality. I am committed to making my analyses and theorizing more explicitly intersectional than it has been in the past, and those projects begin to do that. I am also interested in new research on remote and hybrid work, comparative research on organizations and racial and gender inequality, and better linking work conditions to both wellbeing and specific performance outcomes.
Skills required: R (preferred) or Stata, Qualtrics, excellent written and verbal communications skills, and project management skills because this person would likely be a primary point of contact for the management and employees in the partner company.
Start date: July 2022
Our goal is to understand the causes and consequences of rational and irrational judgment. To do this, we take a highly interdisciplinary approach that combines cognitive science and behavioral economics, and investigate a wide range of decisions using a blend of computational cognitive modeling and behavioral experiments.
Start date: January 2022
The OR/STAT group has wide research interests related to optimization modeling, data science modeling, statistical and stochastic systems, and machine learning, as well as specific applications in healthcare, fairness and equity, and operations in general. I would be happy to discuss any candidate's specific interests and then seek a match with the faculty in our group.
Skills required: Good programming skills and very good to excellent math skills are very important to the success of most (but not all) of our research projects.
Start date: Flexible
What strategies do cultural entrepreneurs like livestreamers and social media influencers use to build their audiences and why are some of these strategies more successful than others? This project uses data from popular websites like Twitch and Reddit to understand the social processes underpinning cultural entrepreneurship. The primary role of the predoc/RA will be to scrape and process data from social media platforms and other websites. Depending on the experience and goals of the predoc/RA, additional responsibilities could include (1) automating scraping tasks by developing a cloud-based data extraction and processing pipeline, (2) analyzing text data using natural language processing methods, and/or (3) conducting statistical analyses.
Skills required: Required skills: Ability to use Python to query APIs and scrape data from websites.
Start Date: January 2022
MIT Center for Collective Intelligence and MIT Computer Science & AI Lab see a candidate to work on computer science issues in a project aimed at creating “superintelligent” human-computer groups. Reporting to professors Malone, Rus, and Almaatouq will be part of a team designing, implementing, and testing configurations for human-computer groups that have the potential to perform far better than humans alone, computers alone, or other baselines. Work may include developing and using state-of-the-art AI software and developing formal approaches for automatically generating and evaluating human-computer systems. May also participate in manuscript writing, supervising students, and presentation of research results.
MIT Center for Collective Intelligence and MIT Computer Science & AI Lab seek candidate to work on social science issues in a project aimed at creating “superintelligent” human-computer groups.
Reporting to professors Malone, Rus, and Almaatouq will be part of a team designing, implementing, and testing configurations for human-computer groups that have the potential to perform far better than humans alone, computers alone, or other baselines. Work may include designing and carrying out experiments with humans and various kinds of advanced software; gathering and analyzing other kinds of data to help characterize possible types of tasks and possible types of human-computer groups; and developing formal models of group performance. May also participate in manuscript writing, supervising students, and presentation of research results.
It has been a joy working with Jamari and amazing how quickly he has grasped the key issues and questions, gotten the hang of the new datasets, and come back with great analyses.