- Atmospheric Science
- Professor and Director of the Cooperative Institute for Research in the Atmosphere
Full details Position Summary
COLORADO STATE UNIVERSITY ATMOSPHERIC SCIENCE TENURE TRACK FACULTY POSITION AND DIRECTOR OF THE COOPERATIVE INSTITUTE FOR RESEARCH IN THE ATMOSPHERE
Colorado State University invites applications for a tenure track faculty position in the Department of Atmospheric Science. This hire will also serve as Director of the Cooperative Institute for Research in the Atmosphere (CIRA). The faculty appointment will be made at the rank of Associate Professor or Professor. We solicit candidates in CIRA’s core focus area of merging satellite observations and models. This is interpreted as expertise in Satellite Remote Sensing, Regional and Global Model Development, or Data Assimilation, with emphasis on individuals working at the interfaces of these areas.
In their role as a faculty member in the Atmospheric Science Department, the successful candidate will be expected to build and maintain a strong, internationally recognized research program supported through external funding, complement and expand upon the department’s current research activities, and provide service to the University and broader community. They will also contribute to teaching and intellectual leadership in our atmospheric science M.S. and Ph.D. programs by teaching in the Department’s graduate curriculum and advising graduate students. Expectation levels in these areas will be established to accommodate additional responsibilities as CIRA Director. Further information about the Department can be found at http://www.atmos.colostate.edu.
The duties and responsibilities of the Director of CIRA are those described in the CSU-NOAA Memorandum of Understanding regarding CIRA and in the University Code related to Directors of a major research unit. They include scientific leadership to accomplish the Mission of CIRA, a $25-30M/year unit comprised of nearly 130 scientists, graduate students and staff located in Fort Collins and at NOAA’s Earth Science Research Laboratory in Boulder, as well as NOAA facilities in Kansas City and Washington, DC. The Director guides and fosters multidisciplinary research in CIRA’s primary and cross-cutting theme areas of: Satellite Algorithm Development, Training and Education; Regional to Global Scale Modeling Systems; Data Assimilation; Climate-Weather Processes and Data Distribution, along with cross-cutting activities in Societal and Economic Impacts, Data Analytics and the Development of Visualization Tools. The Director leads and supports short- and long-term research collaborations with NOAA, the National Park Service, Department of Defense, NASA and other agencies. Normal personnel management, cost budgeting and execution, technical evaluation and research infrastructure responsibilities commensurate with CIRA’s level-of-effort are the responsibilities of the Director and their staff. The appointment as CIRA Director will be for an initial term of 5 years, with reappointments based on the outcome of performance reviews.
Located 60 miles north of Denver, at the base of the Rocky Mountain foothills, Fort Collins is often ranked among the top places to live in the United States. The City offers a pleasant climate with excellent schools and abundant cultural and recreational opportunities nearby. More information on Fort Collins is available at www.visitftcollins.com.
Colorado State University (CSU) strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks. The type of background check conducted varies by position and can include, but is not limited to, criminal (felony and misdemeanor) history, sex offender registry, motor vehicle history, financial history, and/or education verification.
- Cooperative Institute for Research in the Atmosphere (CIRA)
- 20-118: Data Assimilation and Machine Learning Scientist
Full details Position Summary
The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University seeks to fill a postdoctoral fellowship in November 2020 as part of a National Science Foundation (NSF) award to train a new scientist in data assimilation and machine learning techniques. Located at CIRA in Fort Collins, Colorado, this fellowship may last up to 3 years contingent upon NSF funding availability.
Recent work at CIRA has focused on non-Gaussian-based data assimilation systems that are mixed Gaussian-lognormal based. As part of a previous award, a second non-Gaussian distribution has been detected in the Lorenz 63 model, as well as early indication of this reverse lognormal distribution in the output from the Weather Research and Forecasting (WRF) model. The individual in this position will develop the theory of the reverse lognormal in both variational and ensemble data assimilation systems.
Specifically, the individual in this position will serve as a member of the CIRA data assimilation group and will test the robustness of machine learning techniques to identify the links between non-Gaussian distributions and different atmospheric scale dynamics, convert the hybrid version of WRF-GSI to have a non-Gaussian component, and assess the robustness of new non-Gaussian based ensemble systems along with advancing the development of a new version of the Maximum Likelihood Ensemble Smoother.
- 20-122: Machine Learning Scientist for Meteorological Applications
Full details Position Summary
The Cooperative Institute for Research in the Atmosphere (CIRA) on the Foothills Campus at Colorado State University (CSU) in Fort Collins, CO seeks to hire a Postdoctoral Fellow to work at the intersection of machine learning and atmospheric science. This fellowship is part of the new NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) - one of five newly-funded AI institutes in the US and the only one focusing on environmental science applications (https://www.ai2es.org/). AI2ES is a large multi-institutional and interdisciplinary institute that seeks to uniquely benefit humanity by developing novel, physically based AI techniques that are demonstrated to be trustworthy, and will directly improve prediction, understanding, and communication of high-impact environmental hazards.
This Postdoctoral Fellowship is a 12-month appointment with a flexible start date between February 2021 and July 2021, and option to renew for up to two additional years contingent upon performance and funding. The individual in this fellowship will explore how best to utilize machine learning approaches, including explainable AI methods and physics-guided machine learning, for meteorological applications. Focus will be on, but not limited to, working with satellite imagery. The goal is to improve both predictive abilities for high-impact weather and understanding of atmospheric processes, with key emphasis on the application of tropical cyclones, including tropical cyclone evolution and rapid intensification. Additional meteorological applications will be considered based upon the fellow’s interests and CIRA’s needs. The individual in this fellowship will report to CIRA’s Machine Learning Lead and Research Professor in Electrical and Computer Engineering, and work closely with the lead of CIRA’s Tropical Cyclone Group. The individual in this fellowship will be expected to establish strong collaborations with CIRA & NOAA research staff and members of the AI2ES team in CSU’s Computer Science and Atmospheric Science departments, as well as other AI2ES partner institutions. This is an exciting, high-impact position that provides a great opportunity for a motivated researcher to push the boundaries of AI research in several weather/climate applications and to explore innovative approaches while working in a highly stimulating and interdisciplinary team environment.
Colorado State University offers a comprehensive benefits package; including paid holidays, accrued sick leave days, enrollment in group health, life and accident insurance, work injury benefits, disability insurance, and additional opportunities such as free employee study privilege credits. CSU offers paid parental leave, spousal and domestic partner benefits as well.
- Mechanical Engineering
- Assistant Professor - Photovoltaics
Full details Position Summary
This tenure track faculty member will have research and teaching expertise in Photovoltaic (PV) Materials applications and related Mechanical Engineering areas to synergistically strengthen current departmental research and teaching activities. The individual selected for this position will work with researchers in the CSU Next Generation Photovoltaics (NGPV) Center and will lead the computational modeling research initiatives associated with thin-film photovoltaic technologies.
Specific areas of interest for this faculty member may include:
• Computational models that accurately predict structural and electronic properties of thin-film PV surfaces and interfaces
• Development of device modeling tools that optimize thin-film PV device processing and facilitate higher efficiencies in thin-film PV device configurations
• Materials selection and device processing optimization suitable for improved thin-film PV device efficiencies
• Validation of simulation models with experimental thin-film PV devices
This faculty position is a full-time, nine month appointment. Successful candidates will be expected to build and maintain a strong, internationally recognized research program supported through external funding, to enhance the Department’s educational programs, and to provide service to the University and broader community. This faculty member will teach courses in our mechanical engineering curriculum at the undergraduate and graduate levels, advise undergraduate and graduate students, and develop advanced courses in their areas of expertise.
- Engineering Research Histology Technologist
Full details Position Summary
The Engineering Research Histology Technologist position will support orthopedic and musculoskeletal research within the OBRL’s histology lab. Daily operations of the histology lab may include, but are not limited to, processing tissue samples, creating microscopic tissue slides, maintaining histology lab equipment, maintaining histology lab supplies, imaging slides, and performing slide analyses. The Engineering Research Histology Technologist will maintain excellent data documentation and report writing, and will follow Standard Operating Procedures (SOP) and Good Laboratory Practices (GLP) within the lab at all times.
- Mechanical Engineering Non-tenure track Assistant/Associate/Professor of Practice - Open Pool
Full details Position Summary
The Department of Mechanical Engineering invites applications for a Non-Tenure-Track Faculty (NTTF) member, specifically to teach engineering design and engineering mechanics sequences, as well as a range of aerospace engineering courses in both lecture and laboratory formats.
The person selected for these positions will be slotted into one of three NTTF working titles (Assistant Professor of Practice, Associate Professor of Practice, or Professor of Practice) based on experience. Specifically, a selected person who has more than 5 years of experience will have a working title of Associate Professor of Practice, and more than 10 years of experience will have a working title of Professor of Practice.
For more information on Non-Tenure-Track Faculty (NTTF) benefits, please visit the Human Resources web page at http://www.hrs.colostate.edu/benefits/fap-insplans.html.