Application link: http://apply.interfolio.com/66455
Description:
The Department of Statistics and Data Sciences at The University of Texas at Austin is
seeking applicants for three open-rank faculty positions to begin in Fall 2020.
The successful candidates will be expected to teach undergraduate and graduate
statistics and data science courses, have an active research program, supervise
graduate students, collaborate with other faculty, and be involved in service to the
university and the profession.
The Department of Statistics and Data Sciences currently has 16 tenured and tenure-
track faculty in statistics, biostatistics, and machine learning whose associative
affiliations encompass biology, business, computer science, medicine, population
health, engineering, and mathematics. The department is growing rapidly into a globally
recognized center of excellence for research and education in statistical methodology,
applied statistics, computationally-intensive statistical methods, and machine learning.
The department sits amid one of the most intellectually vibrant universities in the
country, with abundant opportunities for interdisciplinary research within the College of
Natural Sciences and across the LBJ School of Public Affairs, the McCombs School of
Business, Dell Medical School, the Oden Institute for Computational Engineering and
Sciences, and many other research entities across the campus. A partnership with the
Texas Advanced Computing Center (TACC) provides access to world-class computing
resources. The department is dedicated to the goal of building a culturally diverse and
pluralistic faculty and staff committed to teaching and working in a multicultural and
diverse environment. We are therefore interested in candidates who will contribute to
such diversity and equal opportunity in higher education through their teaching,
research, and service.
Qualifications:
Full consideration will be given to applicants with research interests in any area of
statistical applications, theory, or methods and in the emerging field of data science.
The minimum qualification is a doctoral degree; strong applicants whose primary degree
is not in statistics, machine learning, data science or a related area will also be
considered, as long as their research exhibits independence and excellence in one of
these areas. Candidates for tenured positions are expected to have an internationally-
recognized research program and to have demonstrated a strong commitment to
excellence in teaching, mentoring, and service.
Application Instructions:
All applicants should submit a cover letter, a CV, and a statement of research interests,
and should arrange for three letters of support to be provided under separate cover.
Applicants should not submit any supplemental material. However, applicants’ CVs
should include links to a web site (or sites) where all papers and software packages
listed on the CV can be downloaded.
Applications will continue to be accepted until the position is filled, but the review of
applications will begin on or around November 1, 2019.
Background check will be conducted on applicants selected for the positions.
Questions about the search process should be directed to Professor Peter Mueller
(statjobs@austin.utexas.edu), SDS Faculty Search Committee Chair.
Application Process:
This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to
this position receive a free Dossier account and can send all application materials,
including confidential letters of recommendation, free of charge.
Application link: http://apply.interfolio.com/66455
Equal Employment Opportunity Statement:
The University of Texas at Austin, as an equal opportunity/affirmative action employer,
complies with all applicable federal and state laws regarding nondiscrimination and
affirmative action. The University is committed to a policy of equal opportunity for all
persons and does not discriminate on the basis of race, color, national origin, age,
marital status, sex, sexual orientation, gender identity, gender expression, disability,
religion, or veteran status in employment, educational programs and activities, and
admissions.