Location: Denver, CO
collaboration with the DU Office of Internationalization, the U. S. Consulate General in Mumbai, and all other project stakeholders. This is a non-benefited, part-time position for 16 months not to exceed 1,000 hours in a calendar year. Essential Functions Project management.
Evaluation, design, implementation, and support of research projects. Data collection. Data analysis and interpretation. Report generation. Participation in grant writing. Knowledge, Skills and Abilities Research skills specific to international education. Proficiency in analysis and interpretation. Ability to manage time and deadlines. Excellent communication skills to include verbal and written communication.
Ability to work independently and on teams. Required Qualifications Professional experience, training, or education in area of international education.
Proven potential for success in area of international education. Work Schedule Part-time (20 hours a week)Hours will vary depending upon position, and remote work is an option. The duration of this position is 16 months. Application Deadline For best consideration, please submit your application materials by 4:00 p. m. (MST) on December 21, 2023. Applications will be reviewed until the position is filled. Special Instructions Candidates must apply online through jobs. du. edu to be considered. Only applications submitted online will
be accepted. Hourly Rate The hourly rate for this position is $23.43.
The University of Denver has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The University may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on factors such as the qualifications of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidate's interaction or any other protected status. Benefits The University of Denver offers some benefits for non-benefited employees.
The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver. Please include the following documents with your application: Resume Cover Letter The University of Denver is an equal opportunity employer. The University of Denver prohibits discrimination on the basis of race, color, national origin, ancestry, age, religion, creed, disability, interaction, interactionual orientation, gender identity, gender expression, marital status, pregnancy, genetic information, military enlistment, or veteran status, and any other class of individuals protected from discrimination under federal, state, or local law, regulation, or ordinance in any of the University's educational programs and activities, and in the employment (including application for employment) and admissions (including application for admission) context, as required by Title IX of the Education Amendments of 1972; the Americans with Disabilities Act; Section 504 of the Rehabilitation Act of 1973; Title VI and VII of the Civil Rights Act of 1964; the Age Discrimination Act of 1975; the Age Discrimination in Employment Act of 1967; Equal Pay Act; Colorado Equal Pay for Equal Work Act; the Colorado Protecting Opportunities and Workers' Rights (" POWR" ) Act; and any other federal, state, and local laws, regulations, or ordinances that prohibit discrimination, harassment, and/or retaliation.
For more information, please see the University of Denver's Non-Discrimination-Statement. All offers of employment are based upon satisfactory completion of a criminal history background check. Advertised: December 14, 2023 Applications close:
Earth. Conduct observational data analysis that supports model validation. Incorporate additional physical schemes into numerical models. Develop and grow an independent research program through external program support. Participate in mission and instrument proposals to support the strategic growth of the Department.
Daily and Monthly Responsibilities: Independently develop and implement hypotheses-driven numerical model and data analysis activities; Configure, initialize, run, and analyze atmospheric numerical models of Earth, Mars, Titan, and other terrestrial planetary atmospheres to test hypotheses. Evaluate model results for physical consistency and plausibility; identify interesting,
new, or otherwise noteworthy results; place results in the context of prior investigations. Analyze observational data sets to validate and verify model results, identify model deficiencies, and identify observed phenomena that are appropriate targets for numerical model investigation.
Actively seek and apply for external support of research activities. Lead or participate in mission and spaceflight instrument proposals. Participate and contribute to Planetary Atmosphere group meetings. Present and disseminate research results at professional meetings and conferences. Submit manuscripts to peer-reviewed journals. Requirements: Requires a Ph D in Atmospheric Science, Planetary Science,
Geophysical Science, or directly related field. 2 years: Post Ph D experience with demonstrated knowledge and application of the principles of atmospheric dynamics and thermodynamics to terrestrial planetary (e.
g. Earth, Titan, Mars, Pluto, Venus, Earth-like Exoplanets) atmospheres. Expertise in the FORTRAN programming language in the Linux operating system environment. Proficiency with Python, MATLAB, IDL, or similar applications for analysis of observational data and very large model data sets. Knowledge and experience with one or more planetary atmosphere modeling codes (e. g. Planet WRF, Mars RAMS, Titan RAMS, NASA Ames GCM) or demonstrated experience with similar complex fluid dynamical codes.
Ability to debug code, test code, and implement new physics is helpful. Familiarity or interest in version control tools (e. g. Git) and parallel coding libraries MPI/MPICH. Experience or desire to contribute to space instrumentation and/or planetary mission concept development PDN-9ab994d4-106c-48c3-918f-83d466dbc214
Earth. Conduct observational data analysis that supports model validation. Incorporate additional physical schemes into numerical models. Support new and ongoing planetary modeling projects. Daily and Monthly Responsibilities: Configure, initialize, run, and analyze atmospheric numerical models of Earth, Mars, Titan, and other terrestrial planetary atmospheres.
Evaluate model results for physical consistency and plausibility; identify interesting, new, or otherwise noteworthy results; place results in the context of prior investigations. Analyze observational data sets to validate and verify model results, identify model deficiencies, and identify observed phenomena that are appropriate
targets for numerical model investigation. Present and disseminate research results at professional meetings and conferences. Submit manuscripts to peer-reviewed journals.
Participate and contribute to Planetary Atmosphere group meetings. Requirements: Requires a Ph D in Atmospheric Science, Planetary Science, Geophysical Science, or directly related field. 0 years: Academic research and a Demonstrated knowledge and application of the principles of atmospheric dynamics and thermodynamics to terrestrial planetary (e. g. Earth, Titan, Mars, Pluto, Venus, Earth-like Exoplanets) atmospheres. Expertise in the FORTRAN programming language in the Linux operating system environment. Proficiency
with Python, MATLAB, IDL, or similar applications for analysis of observational data and very large model data sets.
Knowledge and experience with one or more planetary atmosphere modeling codes (e. g. Planet WRF, Mars RAMS, Titan RAMS, NASA Ames GCM) or demonstrated experience with similar complex fluid dynamical codes. Ability and willingness to dive into model code, debug code, test code, and implement new physics is helpful. Familiarity with or willingness to learn version control tools (e. g. Git) and parallel coding libraries MPI/MPICH is helpful. PDN-9ab994dc0b-858d-6c5bd6627def
