KUMMER ENDOWED PROFESSOR OF DATA SCIENCE - Mathematics and Statistics - #00083283
Missouri University of Science and Technology | |
United States, Missouri, Rolla | |
1870 Miner Circle (Show on map) | |
Dec 04, 2024 | |
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51899Location
RollaFull/Part Time
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The Department of Mathematics and Statistics at Missouri University of Science and Technology invites applications for a Kummer Endowed Full or Associate Professorship, with an anticipated start date of August 2025. The department seeks an excellent scholar with a mathematical or statistical research focus in data science, including machine learning, artificial intelligence, and other data-driven research areas. Data science is a priority for the department and the university. We anticipate hiring additional positions in this field in the near future. There is a strong group of faculty members within the department engaged in data science related research and teaching, as well as a rich culture of interdisciplinary data science related research collaborations. Information about the research of the Department of Mathematics and Statistics at Missouri S&T can be found at https://math.mst.edu/research/currentresearch/. The Department of Mathematics and Statistics consists of 15 tenured and tenure-track faculty and 5 ranked non-tenure-track teaching faculty. The research interests of the faculty range over many areas, including statistics, computational and applied mathematics, analysis and differential equations. The department has B.S., M.S., and Ph.D. programs, with about 40 graduate students (the majority being doctoral students) and approximately 80 undergraduate majors. The Ph.D. program has three emphasis areas: mathematics, computational and applied mathematics, and statistics. Additional information about the department can be found at the department website: http://math.mst.edu/. Qualifications
Applicants must have a Ph.D. in mathematics or statistics or a closely related discipline and must hold the rank of full or associate professor. They should have an outstanding portfolio of scholarship evidenced by a strong record of publication and external funding, as well as a strong record of excellence in teaching and mentoring students at all levels. Preference will be given to applicants who demonstrate the potential to secure substantive external funding for data science research, engage in interdisciplinary data-driven research, and significantly contribute to the department's data science educational efforts. The successful candidate is expected to play a significant role in partnership with the Kummer Institute (https://kummerinstitute.mst.edu/) in leading data science research and education initiatives on campus. Application Materials
Applicants must submit the following materials to two places: (1) Missouri S&T's Human Resources (HR) Office website (https://hr.mst.edu/careers/academic-employment/) to Position #00083283 and (2) the AMS MathJobs site (https://www.mathjobs.org/jobs/list/24688): The review of applications will begin on 10/15/2024. We will continue to accept and consider applications until the position is filled. Inquiries about the position may be directed to the search committee chair, Dr. Gayla Olbricht, at OlbrichtG@mst.edu.
Community Information
University Information KUMMER CASE About Rolla Benefit Eligibility
This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits. Values Commitment In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research, and engagement. Equal Employment Opportunity The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo or call Human Resources at 573-341-4241. |