Assistant Professor of Statistics - Tenure-Track Position in Data Science and Biostatistics with Opportunities for Interdisciplinary Research and Career Growth

Join Our Dynamic Team: Assistant Professor of Statistics - Tenure-Track The University of Vermont, a prestigious comprehensive research institution, is seeking a talented and motivated individual to fill the role of Assistant Professor of Statistics on a tenure-track basis. This exciting opportunity is part of our ongoing efforts to strengthen our Department of Mathematics and Statistics, with a focus on statistics, data science, and biostatistics. As a successful candidate, you will have the chance to contribute to our vibrant academic community, engage in cutting-edge research, and teach undergraduate and graduate statistics courses. About the University of Vermont Established in 1791, the University of Vermont is a dynamic and highly collaborative institution that offers a unique blend of academic excellence, innovative research, and stunning natural beauty. Located in Burlington, Vermont, our university is situated on the shores of Lake Champlain, surrounded by the Adirondack and Green Mountains. With a current enrollment of over 12,000 undergraduate, graduate, and medical students, UVM offers a diverse and inclusive environment that fosters intellectual curiosity, creativity, and personal growth. Position Overview As an Assistant Professor of Statistics, you will be expected to maintain an excellent research program that leads to publication and presentation in peer-reviewed scholarly outlets. You will also have the opportunity to secure extramural funding, teach undergraduate and graduate statistics courses, and supervise graduate students. This tenure-track position offers a competitive startup package and the chance to work with various research centers and institutes across campus, including: Vermont Complex Systems and Data Science Center Larner College of Medicine UVM Cancer Center UVM Transportation Research Center Justice Research Initiative and National Center on Restorative Justice Center on Disability and Community Inclusion Vermont Advanced Computing Core Rubenstein School of Environment and Natural Resources Key Responsibilities As an Assistant Professor of Statistics, your primary responsibilities will include: Developing and maintaining an active research program in statistics, data science, or biostatistics Teaching undergraduate and graduate statistics courses, including introductory and advanced courses Supervising and mentoring graduate students, including master's and Ph.D. students Participating in departmental and university service, including committee work and advising Contributing to the diversity and excellence of the academic community through research, teaching, and service Essential Qualifications To be considered for this position, you must have: A doctorate in statistics, biostatistics, data science, or a related field prior to the start date A strong research record and potential for publication and presentation in peer-reviewed scholarly outlets Excellent teaching skills and a commitment to undergraduate and graduate education The ability to work effectively in a collaborative and interdisciplinary environment Preferred Qualifications While not required, the following qualifications are highly desirable: Experience with statistical computing and programming languages, such as R, Python, or MATLAB Familiarity with data science and machine learning techniques Experience with grant writing and extramural funding A strong record of mentoring and supervising students Skills and Competencies To succeed in this role, you will need: Excellent communication and interpersonal skills The ability to work effectively in a team environment A strong commitment to diversity, equity, and inclusion The ability to teach and mentor students from diverse backgrounds A willingness to adapt to changing departmental and university needs Career Growth Opportunities and Learning Benefits The University of Vermont is committed to the professional growth and development of its faculty. As an Assistant Professor of Statistics, you will have access to: A competitive startup package Opportunities for extramural funding and research support Professional development opportunities, including workshops and conferences A dynamic and supportive academic community Work Environment and Company Culture The University of Vermont is a vibrant and inclusive community that values diversity, equity, and inclusion. Our campus offers: A stunning natural setting, with easy access to outdoor recreation A diverse and inclusive community, with a strong commitment to social justice A range of cultural and recreational activities, including concerts, exhibitions, and sports A supportive and collaborative work environment Compensation, Perks, and Benefits The University of Vermont offers a competitive compensation package, including: A competitive salary Comprehensive health and dental insurance A generous retirement plan Paid time off and holidays Opportunities for professional development and growth How to Apply If you are a motivated and talented individual with a passion for statistics, data science, and education, we encourage you to apply for this exciting opportunity. To apply, please submit: A current curriculum vitae A teaching statement A detailed statement of research interests A diversity impact statement The names of at least three people who can provide letters of reference Application materials must be submitted online at , position number 00023336. Inquiries may be addressed to Jeff Buzas, Search Committee Chair ( [email protected] ). Applications will be accepted until the position is filled; applications received by November 6, 2023, will receive full consideration. Conclusion We invite you to join our dynamic team as an Assistant Professor of Statistics on a tenure-track basis. This exciting opportunity offers the chance to contribute to our vibrant academic community, engage in cutting-edge research, and teach undergraduate and graduate statistics courses. If you are a motivated and talented individual with a passion for statistics, data science, and education, we encourage you to apply for this rewarding role. Apply for this job