The Center for Western Weather and Water Extremes at the Scripps Institution of Oceanography has two positions open in the area of NWP data assimilation and machine learning applied to the forecasting of high impact Atmospheric River events. We seek to leverage the latest Joint Effort for Data assimilation Integration (JEDI) community data assimilation tools.
CW3E targets observations and forecasting of atmospheric rivers to improve real-time knowledge and response to water resource management challenges. We create new tools for weather prediction (through machine learning and data assimilation) to push the envelope in the use of unique observational data for forecast improvement. As part of the science team, these positions will collaborate with other atmospheric modeling scientists and engineers to create a state of the art forecasting system that – through ensemble data assimilation and new computing platforms – produces game changing advances in predicting extreme events on the US west coast. The new hire(s) will join a collaborative group of postdoctoral scholars and experienced researchers, faculty, and staff at CW3E and Scripps. CW3E carries out its goals with a diverse network of research and operational partners at several other institutions across the U.S. and internationally.
Please note below the difference in the application process for the Research Staff and Postdoctoral positions indicated below.
Please consider applying or bringing these opportunities to the attention of any potential candidates in your field.
Thank you.
Sincerely,
Jennifer Haase, Colin Grudzien, Luca Delle Monache
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Machine Learning and Atmospheric Data Assimilation Career Research Staff Position
Center for Western Weather and Water Extremes (CW3E)
Scripps Institution of Oceanography, University of California San Diego
Your role:
- Collaborate with an interdisciplinary team to create algorithms that leverage CW3E’s innovative observational capabilities.
- Bring unique expertise in machine learning and ensemble data assimilation to complement our numerical modeling team.
- Develop deep-learning methods to analyze and quality control inputs and outputs of the forecast system.
- Implement enhancements to next generation object oriented multi-model interfaces to incorporate state-of-the-art satellite observations.
The successful candidate will utilize strong programming skills and experience in machine learning, computational, and numerical methods to enhance data assimilation capabilities for numerical weather prediction models at CW3E. They will implement methods for simulating remote sensing observations from 4D numerical model fields and design forecast experiments using new remote sensing data. The project will use the Joint Effort for Data Assimilation Integration (JEDI) system, which is a new object oriented platform that interfaces numerical models (i.e. Model for Prediction Across Scales (MPAS), the Global Forecast System Finite Volume 3, and /or the Community Earth System Model), with any observational dataset, and includes a range of mathematical solvers to provide a high degree of flexibility for numerical modeling experiments for optimizing forecasts of atmospheric rivers. Programming experience working on high performance computing platforms, along with experience using data assimilation systems is desirable. Applicants should be comfortable working independently with large code libraries and databases, utilizing observations for the atmosphere and the ocean, and producing visualizations as well as working within a team framework
Location: La Jolla, California
******** To apply for this career staff position go to************************************************
Machine Learning and Atmospheric Data Assimilation - 117410
Deadline: Applications will be reviewed on August 31, 2022, and will continue to be considered until the position is filled.
—————————————————————————————————————————————
Atmospheric Rivers Data Assimilation Postdoctoral Researcher Position
Center for Western Weather and Water Extremes (CW3E)
Scripps Institution of Oceanography, University of California San Diego
We seek a postdoctoral researcher with a background in data assimilation or numerical weather prediction or remote sensing to help develop data assimilation techniques for remotely sensed data such as the spaceborne Global Navigation Satellite System (GNSS) Radio Occultation (RO) observations.
The goal is twofold - 1) developing algorithms to better assimilate RO data in both regional and global numerical models, and 2) assessing the impact of RO data on the forecast skill of landfalling atmospheric rivers and the associated extreme weather and water events over the western U.S. Our aim is understanding the predictability of these events and leveraging improved RO assimilation to improve event forecasts.
The successful candidate will work to develop and implement data assimilation techniques for the spaceborne GNSS RO data based and other remotely sensed data on community data assimilation frameworks, such as the Joint Effort for Data Assimilation Integration (JEDI). The candidate will work closely with the team to understand how the assimilation techniques can improve the forecast skill of high-impact weather and water events. Programming experience working on high performance computing platforms, along with experience using data assimilation systems is desirable. Applicants should be comfortable working independently with large code libraries and databases, utilizing observations for the atmosphere and the ocean, and producing visualizations as well as working within a team framework.
Location: La Jolla, California
******** To apply for this academic postdoctoral researcher position (renewable) : ************************************************
Send CV, cover letter, and contact information for three references in a single pdf file named lastname_firstname_da_postdoc.pdf to Luca Delle Monache (ldm@ucsd.edu).
Deadline: Applications will be reviewed on August 31, 2022, and will continue to be considered until the position is filled.
Per normal postdoctoral appointment policies, all positions are envisioned as being initially for 1-year, with extension possible contingent upon performance and availability of funding.
***********************************************************************************************
Applicants should be self-motivated and have a Ph.D. degree (by their hiring date) in atmospheric science, climate science, or other relevant disciplines. Good written and verbal communication skills, including the ability to produce scientific publications and presentations and meet project milestones, are required.
The University of California San Diego is an Affirmative Action / Equal Opportunity Employer (AA/EOE). Key cultural competencies include: 1) Create an environment that acknowledges, encourages, and celebrates differences. 2) Function and communicate effectively and respectfully within the context of varying beliefs, behaviors, orientations, identities, and cultural backgrounds. 3) Seek opportunities to gain experience working and collaborating in diverse, multicultural, and inclusive settings with a willingness to change for continual improvement. 4) Adhere to all of UCSD’s policies including the policies on Prohibited Discrimination & Harassment and the Professional Standards of Conduct.
CW3E targets observations and forecasting of atmospheric rivers to improve real-time knowledge and response to water resource management challenges. We create new tools for weather prediction (through machine learning and data assimilation) to push the envelope in the use of unique observational data for forecast improvement. As part of the science team, these positions will collaborate with other atmospheric modeling scientists and engineers to create a state of the art forecasting system that – through ensemble data assimilation and new computing platforms – produces game changing advances in predicting extreme events on the US west coast. The new hire(s) will join a collaborative group of postdoctoral scholars and experienced researchers, faculty, and staff at CW3E and Scripps. CW3E carries out its goals with a diverse network of research and operational partners at several other institutions across the U.S. and internationally.
Please note below the difference in the application process for the Research Staff and Postdoctoral positions indicated below.
Please consider applying or bringing these opportunities to the attention of any potential candidates in your field.
Thank you.
Sincerely,
Jennifer Haase, Colin Grudzien, Luca Delle Monache
—————————————————————————————————————————————
Machine Learning and Atmospheric Data Assimilation Career Research Staff Position
Center for Western Weather and Water Extremes (CW3E)
Scripps Institution of Oceanography, University of California San Diego
Your role:
- Collaborate with an interdisciplinary team to create algorithms that leverage CW3E’s innovative observational capabilities.
- Bring unique expertise in machine learning and ensemble data assimilation to complement our numerical modeling team.
- Develop deep-learning methods to analyze and quality control inputs and outputs of the forecast system.
- Implement enhancements to next generation object oriented multi-model interfaces to incorporate state-of-the-art satellite observations.
The successful candidate will utilize strong programming skills and experience in machine learning, computational, and numerical methods to enhance data assimilation capabilities for numerical weather prediction models at CW3E. They will implement methods for simulating remote sensing observations from 4D numerical model fields and design forecast experiments using new remote sensing data. The project will use the Joint Effort for Data Assimilation Integration (JEDI) system, which is a new object oriented platform that interfaces numerical models (i.e. Model for Prediction Across Scales (MPAS), the Global Forecast System Finite Volume 3, and /or the Community Earth System Model), with any observational dataset, and includes a range of mathematical solvers to provide a high degree of flexibility for numerical modeling experiments for optimizing forecasts of atmospheric rivers. Programming experience working on high performance computing platforms, along with experience using data assimilation systems is desirable. Applicants should be comfortable working independently with large code libraries and databases, utilizing observations for the atmosphere and the ocean, and producing visualizations as well as working within a team framework
Location: La Jolla, California
******** To apply for this career staff position go to************************************************
Machine Learning and Atmospheric Data Assimilation - 117410
Deadline: Applications will be reviewed on August 31, 2022, and will continue to be considered until the position is filled.
—————————————————————————————————————————————
Atmospheric Rivers Data Assimilation Postdoctoral Researcher Position
Center for Western Weather and Water Extremes (CW3E)
Scripps Institution of Oceanography, University of California San Diego
We seek a postdoctoral researcher with a background in data assimilation or numerical weather prediction or remote sensing to help develop data assimilation techniques for remotely sensed data such as the spaceborne Global Navigation Satellite System (GNSS) Radio Occultation (RO) observations.
The goal is twofold - 1) developing algorithms to better assimilate RO data in both regional and global numerical models, and 2) assessing the impact of RO data on the forecast skill of landfalling atmospheric rivers and the associated extreme weather and water events over the western U.S. Our aim is understanding the predictability of these events and leveraging improved RO assimilation to improve event forecasts.
The successful candidate will work to develop and implement data assimilation techniques for the spaceborne GNSS RO data based and other remotely sensed data on community data assimilation frameworks, such as the Joint Effort for Data Assimilation Integration (JEDI). The candidate will work closely with the team to understand how the assimilation techniques can improve the forecast skill of high-impact weather and water events. Programming experience working on high performance computing platforms, along with experience using data assimilation systems is desirable. Applicants should be comfortable working independently with large code libraries and databases, utilizing observations for the atmosphere and the ocean, and producing visualizations as well as working within a team framework.
Location: La Jolla, California
******** To apply for this academic postdoctoral researcher position (renewable) : ************************************************
Send CV, cover letter, and contact information for three references in a single pdf file named lastname_firstname_da_postdoc.pdf to Luca Delle Monache (ldm@ucsd.edu).
Deadline: Applications will be reviewed on August 31, 2022, and will continue to be considered until the position is filled.
Per normal postdoctoral appointment policies, all positions are envisioned as being initially for 1-year, with extension possible contingent upon performance and availability of funding.
***********************************************************************************************
Applicants should be self-motivated and have a Ph.D. degree (by their hiring date) in atmospheric science, climate science, or other relevant disciplines. Good written and verbal communication skills, including the ability to produce scientific publications and presentations and meet project milestones, are required.
The University of California San Diego is an Affirmative Action / Equal Opportunity Employer (AA/EOE). Key cultural competencies include: 1) Create an environment that acknowledges, encourages, and celebrates differences. 2) Function and communicate effectively and respectfully within the context of varying beliefs, behaviors, orientations, identities, and cultural backgrounds. 3) Seek opportunities to gain experience working and collaborating in diverse, multicultural, and inclusive settings with a willingness to change for continual improvement. 4) Adhere to all of UCSD’s policies including the policies on Prohibited Discrimination & Harassment and the Professional Standards of Conduct.