kariapodaca123
New member
Hi,
We are looking for a postdoctoral fellow to work on improving forward operators for the assimilation of GNSS radio occultation observations. Please help us in distributing this ad amongst anyone who might be interested in applying. For more details read and/or click the link below.
Thanks,
Karina
https://um.hodesiq.com/job_detail.asp?JobID=5568601&user_id=&ViewAll=
Career Opportunities
The University of Miami is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world.
The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami (UM) invites applications for a Postdoctoral Associate position that involves the use of Global Navigation Satellites Systems (GNSS) radio occultation observations to improve global and hurricane weather analyses and forecasts. The successful candidate will be responsible for conducting research to improve the use of radio occultation observations to improve global and hurricane weather prediction. More specifically, the incumbent will be responsible for developing, implementing and testing improved assimilation algorithms for radio occultation observations into NOAA’s operational models. He or she will also be responsible for conducting numerical weather prediction experiments, interpreting the results, presenting findings at scientific meetings and contributing significantly to the publication of results in scientific journals.
The work will be done in close collaboration with scientists in the Hurricane Research Division (HRD) at the National Oceanic and Atmospheric Administration's (NOAA) Atmospheric Oceanographic and Meteorological Laboratory (AOML). The work will involve developing and evaluating impact of advanced algorithms for radio occultation data assimilation to improve numerical weather prediction.
Requirements:
• Must have a Ph.D. in Atmospheric Sciences or in a related field.
• The successful candidate should have experience with one or more of the following: remote sensing, data assimilation, numerical weather prediction, observational data analysis, and use of numerical model output as a means for interpreting observation-based results.
• Strong communication and computer skills are required.
A current resume, a statement of interests, and the names of 3 people who can provide letters of recommendation are required.
Apply online at www.miami.edu/careers
Position #: P100044725
The University of Miami is home to some of the brightest minds in the world. We are committed to educating and nurturing students, creating knowledge, and providing service to our community and beyond. The University of Miami offers competitive salaries and a comprehensive benefits package including medical and dental benefits, tuition remission, vacation, paid holidays and much more. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information-
https://www.hr.miami.edu/careers/employment-laws-eo/index.html
Karina Apodaca, PhD.
NOAA/AOML/Hurricane Research Division - Affiliate
karina.apodaca@noaa.gov (preferred)
___________________
Theoretical and Applied Data Assimilation Scientist, RSII
Colorado State University/Cooperative Institute for Research in the Atmosphere
Foothills Campus
Fort Collins, CO 80523-1375
karina.apodaca@colostate.edu
We are looking for a postdoctoral fellow to work on improving forward operators for the assimilation of GNSS radio occultation observations. Please help us in distributing this ad amongst anyone who might be interested in applying. For more details read and/or click the link below.
Thanks,
Karina
https://um.hodesiq.com/job_detail.asp?JobID=5568601&user_id=&ViewAll=
Career Opportunities
The University of Miami is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world.
The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami (UM) invites applications for a Postdoctoral Associate position that involves the use of Global Navigation Satellites Systems (GNSS) radio occultation observations to improve global and hurricane weather analyses and forecasts. The successful candidate will be responsible for conducting research to improve the use of radio occultation observations to improve global and hurricane weather prediction. More specifically, the incumbent will be responsible for developing, implementing and testing improved assimilation algorithms for radio occultation observations into NOAA’s operational models. He or she will also be responsible for conducting numerical weather prediction experiments, interpreting the results, presenting findings at scientific meetings and contributing significantly to the publication of results in scientific journals.
The work will be done in close collaboration with scientists in the Hurricane Research Division (HRD) at the National Oceanic and Atmospheric Administration's (NOAA) Atmospheric Oceanographic and Meteorological Laboratory (AOML). The work will involve developing and evaluating impact of advanced algorithms for radio occultation data assimilation to improve numerical weather prediction.
Requirements:
• Must have a Ph.D. in Atmospheric Sciences or in a related field.
• The successful candidate should have experience with one or more of the following: remote sensing, data assimilation, numerical weather prediction, observational data analysis, and use of numerical model output as a means for interpreting observation-based results.
• Strong communication and computer skills are required.
A current resume, a statement of interests, and the names of 3 people who can provide letters of recommendation are required.
Apply online at www.miami.edu/careers
Position #: P100044725
The University of Miami is home to some of the brightest minds in the world. We are committed to educating and nurturing students, creating knowledge, and providing service to our community and beyond. The University of Miami offers competitive salaries and a comprehensive benefits package including medical and dental benefits, tuition remission, vacation, paid holidays and much more. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information-
https://www.hr.miami.edu/careers/employment-laws-eo/index.html
Karina Apodaca, PhD.
NOAA/AOML/Hurricane Research Division - Affiliate
karina.apodaca@noaa.gov (preferred)
___________________
Theoretical and Applied Data Assimilation Scientist, RSII
Colorado State University/Cooperative Institute for Research in the Atmosphere
Foothills Campus
Fort Collins, CO 80523-1375
karina.apodaca@colostate.edu