Job Type: Full time
Job Number: JR105436
Engineering a world of possibilities
The Department of Applied Mathematics and Statistics (AMS) at the Colorado School of Mines (Mines) is seeking applicants for two faculty positions with expertise in the fields of Data Science and Statistics.
The first position is tenured or tenure-track open rank, while the second position is tenure-track at the rank of Assistant Professor. The positions require high-quality, academic teaching experience in data science and statistics at the intersection of theory and substantive applications, as well as a research focus on modeling and computation.
• Consistent with the intended rank, candidates will possess a strong record of academic scholarship and research contributions supported by peer-reviewed journal publications
• Consistent with the intended rank, candidates will demonstrate evidence or the potential to support a vibrant research program based on external support from government, foundations, industry or non-profit organizations
• Preference will be given to candidates with expertise in the application of data science to spatial and space-time data including scientific problems in the geosciences, human health and biosciences, the environment, and energy systems
• Consistent with the intended rank, candidates should demonstrate evidence of, or the potential for, significant engagement and leadership skills that will benefit the AMS department, the university, and professional societies, through active participation in committees and service to the scientific community
Successful candidates will contribute to the University's mission of creating a sustainable global society by educating the next generation of scientists, engineers, and leaders, and by expanding the frontiers of knowledge through research. A high value is placed on applicants who can collaborate across disciplinary boundaries and secure research funding from a diverse array of sources, including support from industry. Mines seeks to hire candidates who contribute to an outstanding university experience for our students through their education and preparation for careers after graduation. In addition, preference is given to candidates with a passion to advance the university's and department's commitment to diversity and inclusion.
For questions about this opportunity, contact Douglas Nychka, AMS search committee chair, at nychka@mines.edu.
PRIMARY RESPONSIBILITIES
• Develop and implement a vigorous, externally supported research program that enhances the overall research portfolio of the AMS department
• Teach courses that are valuable to undergraduate and graduate students across multiple departments and programs
• Contribute to the growth and development of undergraduate students, graduate students, and postdoctoral scholars through leadership, mentorship, and collaboration
• Contribute to AMS, Mines, and professional communities through active service
• Promote and contribute to an inclusive and diverse Mines community
MINIMUM QUALIFICATIONS
• Ph.D. in Data Science, Statistics, or a related field from an accredited program
• Research experience in an academic, research lab, and/or industry environment with a record of peer-reviewed publications in statistics and/or data science
• Demonstrated experience and/or commitment to diversity, equity, access, and inclusion efforts
• Associate and Full Professor candidates must possess an established, funded, and impactful research program with clear potential for continuance. Assistant Professor candidates must show a positive trajectory in this regard. In addition, Full Professor candidates must demonstrate an established international reputation.
PREFERRED QUALIFICATIONS
• Successful record of teaching in higher education, conducting academic research, and/or industry or national lab experience
• Successful record of leading research initiatives that include methodology in statistics or data science
• Demonstrated record of scholarship through peer-reviewed and first author publications
• Demonstrated record of or potential for external research funding
Department Description
The Department of Applied Mathematics and Statistics (AMS) at Mines has been notably successful in creating programs that draw on the strengths and richness from both the mathematical and statistical sciences. Our teaching and research are focused at the interface of Computational Applied Mathematics, Statistics, and Data Science allowing us to provide structure, rigor, and quantitative insights for the collaborative solution of data-driven problems that are a feature of the 21st century world. A common theme throughout much of the department's activity is a focus on models and methods for "data" in its many forms: ranging from large remotely sensed observations to the often complex output from numerical models to subject responses in medical studies. This broad interest in mathematical models and substantive data has created a
Location: Golden, CO
Posted: Oct. 11, 2024, 4:25 p.m.
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