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 collegial
research environment among our
Location: Evergreen, CO
Posted: Oct. 11, 2024, 4:25 p.m.
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