[AISWorld] Tenure Track Assistant Professor in Digital Analytics, Boston University Questrom School Of Business

[Nachiketa Sahoo]

*Job Description*

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.



*Required Skills*

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.



*How to Apply*

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

   1. “Assistant Professor - Digital Analytics” in the email subject line
   2. A cover letter stating interest and qualification
   3. A *curriculum vitae*
   4. Three letters of recommendation
   5. Research and teaching statements
   6. Representative publications
   7. 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.



*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