Department of Statistics

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Research Professional
The University of Chicago Booth School of Business

Company Information: 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:

Position Title: Research Professional

Duties and Responsibilities: The Econometrics and Statistics group at the Booth School of Business of the University of Chicago invites applications for a Research Professional. The Research Professional will be working under the supervision of Prof. Dacheng Xiu, but will have ample opportunities to collaborate with other members of the group on multiple projects.

The Research Professional will be working on a range of problems involving high dimensional statistics, machine learning, and convex optimization. More specific areas include, but are not limited to, multiple testing, model selection, prediction, deep learning, and their applications in economics and finance. The professional will also have the opportunity to actively participate in the broad interdisciplinary environment at Booth.

Applicants will be considered on a rolling basis, with the first major review to occur on March 1, 2018.This position is expected to last one year, with the possibility of a second year.


-Supports ongoing research projects and faculty by gathering, compiling, processing, and manipulating data.
-Obtains and organizes information for research from other academic institutions and practitioners.
-Proofreads and edits citations of funded research reports, working papers, and publications.
-Maintains effective communication with all members of the faculty and outside institutions.

Position Qualifications: Competencies:

-Analytical and problem solving skills required.
-Excellent and professional verbal, written, and presentation skills, as well as organizational skills and attention to detail, required.
-Strong problem-solving skills and ability to handle multiple projects simultaneously are required.
-Ability to work well independently, as well as with others, and to meet deadlines under pressure is required.
-Ability to seek out, coordinate, and appropriately disseminate information required.

Additional Requirements​​


-Master’s degree or higher required. (this includes ABD)
-Doctoral degree or ABD (all but dissertation) status highly preferred.


-At least one year of research experience required, experience gained in school counts towards the requirement.
-Relevant research experience preferred.

Technical Knowledge or Skills:

-Strong quantitative background and strong computer skills including programming preferred.
-Familiarity with mathematical and statistics software such as Python and Matlab preferred.
-Knowledge of research techniques or methods required.

Salary Range:

Benefits: Standard full-time staff benefits will be awarded. For more information, see We are able to support visas if necessary.


Application Information: Please submit an application at, being sure to include a resume, cover letter, and the contact information for two references.

Contact Email:

Application Deadline: 03/31/2018