Boston University ASSISTANT PROFESSOR, Digital Analytics, Questrom School of Business in Boston, Massachusetts
The Questrom School of Business at Boston University anticipates an opening for a tenure-track Assistant Professor trained in Machine Learning and Artificial Intelligence techniques. The anticipated start date for this faculty position is July 1, 2019.
We seek outstanding candidates who would be comfortable in, stimulated by, and engage with the vibrant cross-disciplinary community of data science. Prospective candidates must have demonstrated the ability to produce high quality scholarly work at the top peer-reviewed outlets. Candidates with relevant research and publication experience in the industry are also 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 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. Boston University is an institution with a rich tradition dedicated to inclusion and social justice. We are proud that we were the first American University to award a Ph.D. to a woman and of our record of inclusiveness.
The Questrom School of Business offers generous research and teaching support. The salary is competitive and commensurate with experience.
DO NOT APPLY THROUGH THE BOSTON UNIVERSITY HR WEBSITE.
Candidates are encouraged to send application details to email@example.com and include the following:
- “Assistant Professor - Digital Analytics” in the email subject line
- A cover letter stating interest and qualification
- A curriculum vitae
- Three letters of recommendation
- Research and teaching statements
- Representative publications
- 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 early August for a July 1, 2019 start.
Candidates with a PhD in core business-oriented disciplines whose research leverages their deep expertise in the methods of Machine Learning and Artificial Intelligence; or with a PhD in Computer Science or Statistics whose research focuses on problems of significant interest to business or social science research community, are particularly encouraged to apply. Although the candidate’s research is expected to be interdisciplinary, the successful candidate upon hiring may have an appointment at a department in Questrom School of Business, such as Information Systems, Marketing, or Operations Management, that is close to the candidates’ area of research.
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.
Tracking Code: 9810/H0417
Job Location: Boston, Massachusetts, United States
Position Type: Full-Time/Regular
Salary: Based on experience