Matthew Siegfried
Colleagues,
I wanted to draw your attention to the themed faculty searches we have open for 12 different positions at Colorado School of Mines right now. In particular, we are looking to hire faculty within the data analytics theme for (1) Applied (to Earth and environmental science) Data Science and Machine Learning and (2) Computational Hydrology, both of which could be hired into (or jointly with) the Department of Geophysics. We are excited to continue growing our geo-data science teaching and research portfolio and hope that you consider applying! Details are below; review of applications will begin December 15.
Please do not hesitate to contact me with any questions.
Cheers,
Matt
Colorado School of Mines
Multiple Tenured/Tenure-Track Faculty Positions Available
Colorado School of Mines (Mines) invites applications for multiple tenured/tenure-track faculty positions in three themes: (1) Computational Science and Data Analytics, (2) Advanced Manufacturing and Materials, and (3) Quantum Information, Electronic Materials and Devices. These thematic hires are an integral part of Mines’ strategic effort to grow in areas where we already have significant strengths or where our strengths are emerging. Mines is a great place to engage in interdisciplinary education and research in each of these areas as they relate to our Earth, Energy and Environment mission.
These tenured/tenure-track positions are anticipated to begin in August 2021. New faculty could be hired into one of eight departments including the Department of Geophysics or could be jointly appointed in more than one department. In particular, we invite qualified candidates with research specialization in one or more of the following areas to apply:
(1) Applied Data Science and Machine Learning with particular interest in data science, data analytics, geostatistics, machine learning, and other artificial intelligence techniques to address Earth and environmental science problems of societal relevance; and
(2) Computational Hydrology with particular interest in surface water hydrology, groundwater hydrology, hydrogeophysics, “big data” hydrology, or large-scale modeling of hydrologic systems.
Both of these positions for which the Department of Geophysics could serve as the home department are within the Computational Science and Data Analytics cluster, which can be found here. We seek candidates excited to share in our mission to address the challenges of creating a sustainable global society by educating the next generation of scientists and engineers and cultivating an inclusive and diverse community. Interested applicants should apply as soon as possible, but before January 4, 2021 for fullest consideration. The search committee will start reviewing applications on December 15, 2020, and applications will be reviewed on an ongoing basis until the positions are filled. Note that these positions represent only a fraction of the 12 positions that are being targeted in these three clusters; descriptions of the other two clusters can be found here and here.
Mines, Colorado’s oldest public university, is located in picturesque Golden, Colorado, in the foothills of the Rockies, 13 miles west of Denver and 21 miles south of Boulder. Mines has 5,196 undergraduate students and 1,569 graduate students in a broad range of applied science and engineering disciplines. The School’s proximity to Denver and Boulder provides opportunities for significant collaboration with government labs and industry as well as other universities.
Mines is an Equal Opportunity/Affirmative Action employer and educator that recognizes that diversity is crucial to its pursuit of excellence in learning and research. Mines is committed to developing student, faculty, and staff populations with differing perspectives, backgrounds, talents, and needs and those committed to creating a richer mix of ideas, energizing and enlightening debates, deeper commitments, and a host of educational, research, and service outcomes. As such, Mines values candidates who have experience working in settings with individuals from diverse backgrounds. Minorities, women, veterans, and persons with disabilities are strongly encouraged to apply.
Apply here: https://jobs.mines.edu/en-us/job/494587/computational-science-and-data-analytics-faculty-positions.
--
Matthew R. Siegfried
Assistant Professor
Department of Geophysics
Colorado School of Mines
1500 Illinois St., Golden, CO 80401
siegfried<at>mines.edu | https://www.minesglaciology.com/
I wanted to draw your attention to the themed faculty searches we have open for 12 different positions at Colorado School of Mines right now. In particular, we are looking to hire faculty within the data analytics theme for (1) Applied (to Earth and environmental science) Data Science and Machine Learning and (2) Computational Hydrology, both of which could be hired into (or jointly with) the Department of Geophysics. We are excited to continue growing our geo-data science teaching and research portfolio and hope that you consider applying! Details are below; review of applications will begin December 15.
Please do not hesitate to contact me with any questions.
Cheers,
Matt
Colorado School of Mines
Multiple Tenured/Tenure-Track Faculty Positions Available
Colorado School of Mines (Mines) invites applications for multiple tenured/tenure-track faculty positions in three themes: (1) Computational Science and Data Analytics, (2) Advanced Manufacturing and Materials, and (3) Quantum Information, Electronic Materials and Devices. These thematic hires are an integral part of Mines’ strategic effort to grow in areas where we already have significant strengths or where our strengths are emerging. Mines is a great place to engage in interdisciplinary education and research in each of these areas as they relate to our Earth, Energy and Environment mission.
These tenured/tenure-track positions are anticipated to begin in August 2021. New faculty could be hired into one of eight departments including the Department of Geophysics or could be jointly appointed in more than one department. In particular, we invite qualified candidates with research specialization in one or more of the following areas to apply:
(1) Applied Data Science and Machine Learning with particular interest in data science, data analytics, geostatistics, machine learning, and other artificial intelligence techniques to address Earth and environmental science problems of societal relevance; and
(2) Computational Hydrology with particular interest in surface water hydrology, groundwater hydrology, hydrogeophysics, “big data” hydrology, or large-scale modeling of hydrologic systems.
Both of these positions for which the Department of Geophysics could serve as the home department are within the Computational Science and Data Analytics cluster, which can be found here. We seek candidates excited to share in our mission to address the challenges of creating a sustainable global society by educating the next generation of scientists and engineers and cultivating an inclusive and diverse community. Interested applicants should apply as soon as possible, but before January 4, 2021 for fullest consideration. The search committee will start reviewing applications on December 15, 2020, and applications will be reviewed on an ongoing basis until the positions are filled. Note that these positions represent only a fraction of the 12 positions that are being targeted in these three clusters; descriptions of the other two clusters can be found here and here.
Mines, Colorado’s oldest public university, is located in picturesque Golden, Colorado, in the foothills of the Rockies, 13 miles west of Denver and 21 miles south of Boulder. Mines has 5,196 undergraduate students and 1,569 graduate students in a broad range of applied science and engineering disciplines. The School’s proximity to Denver and Boulder provides opportunities for significant collaboration with government labs and industry as well as other universities.
Mines is an Equal Opportunity/Affirmative Action employer and educator that recognizes that diversity is crucial to its pursuit of excellence in learning and research. Mines is committed to developing student, faculty, and staff populations with differing perspectives, backgrounds, talents, and needs and those committed to creating a richer mix of ideas, energizing and enlightening debates, deeper commitments, and a host of educational, research, and service outcomes. As such, Mines values candidates who have experience working in settings with individuals from diverse backgrounds. Minorities, women, veterans, and persons with disabilities are strongly encouraged to apply.
Apply here: https://jobs.mines.edu/en-us/job/494587/computational-science-and-data-analytics-faculty-positions.
--
Matthew R. Siegfried
Assistant Professor
Department of Geophysics
Colorado School of Mines
1500 Illinois St., Golden, CO 80401
siegfried<at>mines.edu | https://www.minesglaciology.com/
