Open Positions in the Department of Statistics

Associate or Full Professor

The University of Pittsburgh Dietrich School of Arts and Science is seeking applications for a tenured position in the Department of Statistics beginning September 2019, at the level of associate or full professor.

The candidate should have established a strong methodological research program in mainstream modern statistics, with a solid record of publications and research funding. Ideally the candidate’s research can be related to the advantages of Pitt’s resources, such as diverse departments within the Dietrich School of Arts and Sciences, strong medical school, and the newly established School of Computing and Information. The successful candidate must also demonstrate excellence in teaching, mentoring graduate and/or undergraduate students, and administration. Tenured faculty in the Department of Statistics serve as chair on a rotating basis, and the candidate should expect to serve as chair in the near future, if not immediately upon employment. This position is subject to final budgetary approval.

The department currently has eight tenure-stream faculty and two teaching faculty. There are over forty graduate students and very active undergraduate majors and minors programs. The department has close ties to the Department of Biostatistics in the Graduate School of Public Health, the Department of Psychiatry in the School of Medicine, the Department of Industrial Engineering in the School of Engineering, and a number of departments within Arts and Sciences. The University of Pittsburgh has made a strategic commitment to furthering its research infrastructure for data science and also fostering its instructional programs in data science. The newly restructured School of Computing and Information and the Department of Statistics are collaborating in these developments. The University of Pittsburgh is ranked nationally as ninth in science and engineering research funding and fifth in NIH funding.

Additional information about the department can be found at http:www.stat.pitt.edu/. Informal inquiries about this position may be directed to Dr. Satish Iyengar, Interim Chair, at ssi@pitt.edu. Applicants should submit a detailed cover letter, a curriculum vitae, a diversity statement, and three letters of reference. For each reference, you will have the opportunity to input an email address, and an email notification will be sent to the designated address with instructions about uploading the letters to our system. Candidates should apply online at https://facultysearch.as.pitt.edu/apply/index/MjM1. Review of applications will begin November 1, 2018, and will continue until the position is filled. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disable.


Lecturer

The University of Pittsburgh’s Dietrich School of Arts and Sciences is seeking applications for a Lecturer in the Department of Statistics beginning September 2019. The position is outside of the tenure stream with the expectation of rolling multiyear contract renewals for a successful lecturer.

Candidates should preferably have a PhD in statistics, biostatistics or related field and a demonstrated talent for teaching undergraduate statistics courses and possibly applied masters courses. Lecturers are involved in advising undergraduate students, mentoring graduate teaching assistants, course development, and other administrative and scientific activities for the department’s functioning and growth. The candidate is expected to have knowledge about the breadth of statistics and its interface with other disciplines.The normal teaching load is three courses each semester. Reductions in teaching may be possible depending on the approved non-instructional activities supported by a lecturer. (This position is subject to final budgetary approval.)

The department currently has eight tenure-stream faculty and two teaching faculty. There are over forty graduate students and very active undergraduate majors and minors programs. The department has close ties to the Department of Biostatistics in the Graduate School of Public Health, the Department of Psychiatry in the School of Medicine, the Department of Industrial Engineering in the School of Engineering, and a number of departments within Arts and Sciences. The University of Pittsburgh has made a strategic commitment to furthering its research infrastructure for data science and also fostering its instructional programs in data science. The newly restructured School of Computing and Information and the Department of Statistics are collaborating in these developments. The University of Pittsburgh is ranked nationally as ninth in science and engineering research funding and fifth in NIH funding.

Informal inquiries about this position may be directed to Dr. Carl Bodenschatz, Senior Lecturer, at cboden@pitt.edu. Applicants should submit a detailed cover letter, a curriculum vitae, a diversity statement, and three letters of reference. For each reference, you will have the opportunity to input an email address, and an email notification will be sent to the designated address with instructions about uploading the letters to our system. Candidates should apply online at https://facultysearch.as.pitt.edu/apply/index/MjQx. Review of applications will begin November 1, 2018, and will continue until the position is filled. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disable.


2 Assistant Professors

The University of Pittsburgh Dietrich School of Arts and Science is seeking applications for two tenure track Assistant Professor positions in the Department of Statistics beginning September 2019, pending budgetary approval.

The Department of Statistics has a strong commitment to fostering diversity, equality and inclusive excellence in a variety of research and teaching activities. We have a rapidly expanding program, with these two new positions representing growth of our faculty size. We encourage candidates from all areas of research to apply. In addition to outstanding research, the successful candidate will teach undergraduate and graduate courses and supervise graduate students. Candidates should have or be expected to have their PhD in statistics or related field by September 1, 2019.

Additional information about the department can be found at http:www.stat.pit.edu/. Informal inquiries about this position may be directed to Dr. Satish Iyengar, Interim Chair, at ssi@pitt.edu. Applicants should submit a cover letter, a curriculum vitae, a diversity statement, and three letters of reference. For each reference, you will have the opportunity to input an email address, and an email notification will be sent to the designated address with instructions about uploading the letters to our system. Candidates should apply online at https://facultysearch.as.pitt.edu/apply/index/MjUw. Review of applications will begin December 10, 2018, and will continue until the position is filled. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disable.


Open Adjunct Faculty Positions

The Department of Statistics at the University of Pittsburgh invites inquiries and applications for adjunct faculty positions for teaching one or more courses on a part-time basis.

Candidates will be expected to teach a semester-long introductory undergraduate statistics course or a course in statistical practice that is based on the applicant’s specialty and experience in any domain of statistical applications. For introductory teaching, extensive support materials are available.

Minimum qualifications include a master’s degree in statistics or related field. Appropriate professional experience and/or a doctorate are preferred.

For additional information, please contact Dr. Zhao Ren, at zren@pitt.edu. To apply, submit a cover letter and a curriculum vitae to Professor Ren at the above address.