The University of Chicago Booth School of Business is the second-oldest school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges. Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud to claim: -an unmatched faculty. -degree and open enrollment programs offered on three continents. -a global body of nearly 50,000 accomplished alumni. - strong and growing corporate relationships that provide a wealth of lifelong career opportunities. As part of the world-renowned University of Chicago, Chicago Booth shares the University's core values that shape the distinctive intellectual culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http://www.chicagobooth.edu/.
The Principal Researcher will be collaborating with Prof. Bryon Aragam and will work on problems in causal inference and graphical models. The ideal candidate will have a background in graphical models, optimization, or nonparametric statistics and will be given the opportunity to pursue a broad research agenda at the intersection of statistics, machine learning, and causal inference.
This position is expected to last at least one year, with the possibility of renewal for up to three years.
- Performs and produces high-quality research and code.
- Conducts literature reviews and performs research.
- Disseminates work to the research community through workshops and conference talks.
- Engages in the intellectual environment of the University of Chicago through workshops, presentations, seminars, and collaboration with faculty and other researchers.
- Maintains effective communication with all members of the faculty and outside institutions.
- Uses subject matter and best practices knowledge to perform lab and/or research-related duties and tasks. Works independently to assist with project design.
- Guides data collection, evaluation and analysis. Designs and manages databases. Writes reports, articles and manuscripts.
- Performs other related work as needed.
Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
- Doctoral degree status or all-but-dissertation status.
- If ABD, PhD within one year of start date.
- A minimum four years of relevant research experience.
- Evidence of ability to publish in high-impact conferences and journals.
- Strong mathematical and statistical background at the research level.
- Programming and computing skills, including familiarity with statistics and machine learning software, such as those in R or Python.
- Exceptional analytical and problem-solving skills and ability to handle multiple projects.
- Excellent verbal, written, and presentation skills.
- Work well independently, as well as with others.
- Seek out, coordinate, and appropriately disseminate information.
- Resume/CV (required)
- Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
The University of Chicago is an Affirmative Action/ Equal Opportunity /Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form .
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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