CLINICAL ASSISTANT PROFESSOR, BUSINESS ANALYTICS, Questrom School of Business

Employer
Boston University
Location
Massachusetts, United States
Salary
Competitive Salary
Posted date
Oct 20, 2021

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Position Type
Faculty Positions, Business & Management, Other Business & Management
Employment Level
Non-Tenured Track
Salary Band
Competitive
Employment Type
Full Time
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The Questrom School of Business at Boston University anticipates an opening for a non-tenure-track Clinical Assistant Professor trained in Machine Learning and Data Science techniques. Pending Provost budgetary approval, the anticipated start date for this faculty position is July 1, 2022.

We seek outstanding candidates who would be comfortable in, stimulated by, and engage with the vibrant cross-disciplinary community of data science. Candidates with relevant experience in the industry are encouraged to apply. Faculty will be expected to teach undergraduate and graduate courses in analytics and contribute to cross-disciplinary curriculum development activities.

The Questrom School of Business is building a strong group of faculty with expertise in all aspects of data science and analytics. Key hires in this area in recent years represent a strategic focus for the school. The strengths of the Questrom School in analytics along with its ties to other key institutions focused on data science research at Boston University, such as the Faculty of Computing and Data Science, and the Hariri Institute for Computing, present a unique and exciting opportunity to develop a cross-disciplinary research agenda at the intersection of machine learning and social science.

The Questrom School of Business believes that the cultural and social diversity of our faculty, staff, and students is vitally important to the distinction and excellence of our research and academic programs. To that, we are especially eager to have join our ranks a colleague who supports our institutional commitment to ensuring BU is inclusive, equitable, diverse, and a place where all constituents can thrive. The Questrom School of Business seeks to continue diversifying our faculty, student and staff ranks, recognizing that diversity of experience and thought deepens the intellectual endeavor.

The Questrom School of Business offers generous research and teaching support. The salary is competitive and commensurate with experience.

Required Skills

Candidates with a PhD in core business-oriented disciplines with expertise in the methods of Machine Learning and Data Science; or with a PhD in any Data Science related discipline, Computer Science or Statistics whose expertise focuses on problems of significant interest to business or social science communities, are particularly encouraged to apply. The successful candidate upon hiring may have an appointment at a department in Questrom School of Business, such as Information Systems, Marketing, Markets, Public Policy and Law, or Operations Management, that is close to the candidates’ area of expertise.

How to Apply

Interested candidates should not apply through the Boston University HR website. Candidates are encouraged to send application details to qstmljob@bu.edu and include the following:

  1. “Clinical Assistant Professor – Business Analytics” in the email subject line
  2. A cover letter stating interest and qualification
  3. curriculum vitae
  4. Three letters of recommendation
  5. A statement of where you saw this notice (e.g. the conference name, website, colleague, etc.)

Applications will be reviewed on a rolling basis as they arrive until the position is filled. We will begin interviewing in September for a July 1, 2022 start.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

Job Location

Boston, Massachusetts, United States

Position Type

Full-Time/Regular

Salary

Competitive and commensurate with experience

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