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Job ID: 150055

Multiple Tenured/Tenure-Track Faculty Positions
Colorado School of Mines


Date Posted Nov. 20, 2020
Title Multiple Tenured/Tenure-Track Faculty Positions
University Colorado School of Mines
Golden, CO, United States
Department Electrical Engineering
Application Deadline Open Until Filled
Position Start Date August 2021
 
 
  • Assistant Professor
    Associate Professor
    Professor
  • Electrical and/or Electronics
 
 

Colorado School of Mines (Mines) invites applications for multiple tenured/tenure-track faculty positions in three clusters: (1) Computational Science and Data Analytics, (2) Advanced Manufacturing and Materials, and (3) Quantum Information, Electronic Materials and Devices. These cluster 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 education and research in each of these areas as they relate to our Earth, Energy and Environment mission.

These tenured and tenure-track positions are anticipated to begin in August 2021. In addition, the new faculty hired could be hired into one of eight departments including the Department of Electrical Engineering. Qualified EE candidates are particularly encouraged to apply for the Quantum Information, Electronic Materials and Devices cluster as the EE department seeks to strengthen its connections with Mines’ highly regarded Materials Science program and its recently launched Quantum Engineering program. Specific interests for this cluster include (a) Quantum Information (theory and experiment), (b) Functional and Quantum Materials, and © Integrated Electronics. Related to Integrated Electronics, examples of research topics include, but are not limited to: MEMS or III-V semiconductor-based circuits and devices utilizing novel materials and/or (potentially additive) manufacturing techniques, optical materials and photonics, the design and development of new materials for application to low-temperature circuits for quantum applications, as well as advanced circuit and device modeling and simulation capabilities, including machine learning, for computer aided design and design optimization. Note that these positions represent only a fraction of the 12 positions that are being targeted in these three clusters. 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.

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 consistently ranked among the top engineering colleges in the United States and ranks number one as the best public school in the state for best value colleges.

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/listing/


  • 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 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. Please read our Equal Employment Opportunity Policy Letter for more information. In order to comply with EEOC, OFCCP, and Affirmative Action regulations, we are required to compile summary data on the gender and ethnicity of our applicants and incumbent employees. Applicants are requested to voluntarily submit gender, ethnicity, and veteran status information along with their application materials.


 
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