Tenure-track Assistant Professor – Fall 2020

The International Society for Bayesian Analysis; Pittsburgh (Allegheny County); On-site; USD 70,000 - 120,000; Full time

Job summary

The Department of Statistics & Data Science at Carnegie Mellon University invites applications for a Tenure-track Assistant Professor position. Candidates should have a Ph.D. in relevant fields and an interest in developing an independent research program. The role includes teaching various statistics courses and engaging in collaborative research.

Qualifications

• Ph.D. required in relevant field.
• Candidates should be able to develop an independent research program.
• Teaching experience is beneficial.

Responsibilities

• Develop an independent research program in statistics.
• Teach courses at all levels from introductory to advanced graduate courses.
• Collaborate in cross-disciplinary research.

Education

Ph.D. in statistics, biostatistics, machine learning, or a related area

Job description

Tenure-track Assistant Professor – Fall 2020

Tenure-track Assistant Professor – Fall 2020
Location
Pittsburgh, PA
Position Type
Tenure Track Faculty

Position Description
The Department of Statistics & Data Science at Carnegie Mellon University invites applicants to apply for tenure-track faculty positions at its Pittsburgh, Pennsylvania campus.

The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu ) is world-renowned for its contributions to statistical theory and practice. Research in the department runs the gamut from pure mathematics to the hottest frontiers of science. Our faculty members are recognized around the world for their expertise and have garnered many prestigious awards and honors. (For example, two current members of the faculty have been awarded the COPSS medal, the highest honor given by professional statistical societies.) Current collaborative research by our faculty is helping to make fundamental advances in neuroscience, cosmology, networks, finance, genetics, public policy, high-dimensional inference, and theory and methods at the intersection of statistics and machine learning.

The Department augments all these strengths with a friendly, energetic working environment; exceptional computing resources; and strong research ties with other units on campus and across the nation. Talented graduate students join the department from around the world and add a unique dimension to the department’s intellectual life. We welcome applicants from all areas of statistics. Joint appointments with other units in the Pittsburgh area are possible.

Carnegie Mellon University is an equal opportunity employer. The University and the Department are committed to building a culturally diverse and pluralistic community. We enthusiastically welcome faculty applicants who will contribute to this diversity, including women, members of minority groups, protected veterans, individuals with disabilities, and others who would contribute in different ways.

Duties and Responsibilities:
Tenure-track faculty are expected to develop an independent research program in statistics, with complete freedom to pursue all areas of statistical science. There are many opportunities to continue the department’s tradition of cross-disciplinary collaboration. The department is looking for candidates who will progress to take leadership in their area and make a significant impact in their work. Tenure-track faculty are also expected to teach, and both junior and senior faculty teach classes at all levels, from introductory statistics to advanced graduate courses. While teaching loads cannot be guaranteed, they have typically been one course per semester for many years. New faculty are not expected to bring in grants or to advise Ph.D. dissertations during their first few years on the tenure track, though they are welcome to do so.

Qualifications
A Ph.D. is required, in statistics, biostatistics, machine learning, or a related area.

Applicants for this position must submit: cover letter, curriculum vitae, statement of research, transcripts, and names and email addresses of 3-5 individuals who have been asked to provide letters of reference, and are encouraged to also include 1-3 representative papers and a statement of teaching. Contact email: [e-mail].

Application period closes on December 2, 2019.

The Interfolio Scholar Services Team is available to help if you have questions about submitting required documents. You can email them anytime at [e-mail] or call them at 877.997.8807 – Monday – Friday 9am – 6pm Eastern time.