Postdocs in Santa Cruz, CA
Applications are invited for two postdoctoral scholars in Arctic
Amplification. This work is part of a collaborative project funded by the DOE on the role of warm moist air intrusions as a hypothesised driver of
Arctic amplification. The postdoctoral scholars will conduct novel numerical water tracer and/or radiative-locking experiments in the Energy
Exascale Earth System Model (E3SM) to investigate the provenance of moisture intrusions and how they promote water vapor and cloud feedback over the Arctic.
The selected candidates will ideally have training in atmospheric sciences;
knowledge of extratropical dynamics and/or polar climate; and demonstrated experience modeling and coding, as well as working with large, complex datasets. Applicants with expertise in running and configuring global climate models, such as CESM, E3SM, or another state-of-the-art Earth system model are strongly encouraged to apply.
Apply to work at UC Santa Cruz: recruit.ucsc.edu/JPF01403
Apply to work at University of Victoria: Email the application materials as
a single pdf to hansingh@uvic.ca
#job
Applications are invited for two postdoctoral scholars in Arctic
Amplification. This work is part of a collaborative project funded by the DOE on the role of warm moist air intrusions as a hypothesised driver of
Arctic amplification. The postdoctoral scholars will conduct novel numerical water tracer and/or radiative-locking experiments in the Energy
Exascale Earth System Model (E3SM) to investigate the provenance of moisture intrusions and how they promote water vapor and cloud feedback over the Arctic.
The selected candidates will ideally have training in atmospheric sciences;
knowledge of extratropical dynamics and/or polar climate; and demonstrated experience modeling and coding, as well as working with large, complex datasets. Applicants with expertise in running and configuring global climate models, such as CESM, E3SM, or another state-of-the-art Earth system model are strongly encouraged to apply.
Apply to work at UC Santa Cruz: recruit.ucsc.edu/JPF01403
Apply to work at University of Victoria: Email the application materials as
a single pdf to hansingh@uvic.ca
#job
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Computational Scientist position on Python-based ML-enabled weather and climate modeling
The Atmospheric and Oceanic Sciences Program at Princeton University, in cooperation with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a computational scientist/scientific programmer to assist our scientists working to integrate a computationally-advanced Python-based machine-learning (ML) augmented atmosphere model into the existing GFDL modeling system. The goal is to permit ML-powered improvements to our models and to incorporate new diagnostics and use cases for this system. This project is funded by the NOAA Technology Incubator of the National Oceanic and Atmospheric Administration's Office of the Chief Information Officer.
The successful applicant will work with Lucas Harris at GFDL and Chris Bretherton and Oliver Fuhrer at the Allen Institute for Artificial Intelligence (AI2), and will work closely with other scientists in GFDL's Weather and Climate Dynamics Division and at AI2. This computational scientist will port AI2's Python-wrapped climate model workflow into GFDL's System for High-resolution prediction on Earth-to-Local Domains (SHiELD) and set up the AI2 machine-learning workflow on a NOAA computing system. The applicant will then work to update the model with the newest version of SHiELD's codes and continue to integrate new updates to SHiELD and in AI2's ML workflow. This applicant will then assist GFDL and AI2 scientists in applying the ML-augmented model to scientific problems of interest.
Scientists or engineers with a strong background in software engineering, computer science, computational science, high-performance computing, machine learning, mathematics, or physics are encouraged to apply. Knowledge of both Python and Fortran will be extremely useful, as will some experience with hydrodynamic codes or numerical models, and machine learning software. Applicants should have strong experience working in a collaborative environment and an ability to learn new technologies. This is a one-year position with potential for renewal based on candidate performance and continued funding. Candidates should have at least a Master's degree in an appropriate field, including but not limited to computer science, mathematics, physics, atmospheric science, or engineering. Complete applications include a CV, publication list, and 2 letters of recommendation. Review of applications will begin immediately and continue until the position is filled. Princeton is interested in candidates who, through their research, will contribute to the diversity and excellence of the academic community.
Applicants should apply online
#job
The Atmospheric and Oceanic Sciences Program at Princeton University, in cooperation with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a computational scientist/scientific programmer to assist our scientists working to integrate a computationally-advanced Python-based machine-learning (ML) augmented atmosphere model into the existing GFDL modeling system. The goal is to permit ML-powered improvements to our models and to incorporate new diagnostics and use cases for this system. This project is funded by the NOAA Technology Incubator of the National Oceanic and Atmospheric Administration's Office of the Chief Information Officer.
The successful applicant will work with Lucas Harris at GFDL and Chris Bretherton and Oliver Fuhrer at the Allen Institute for Artificial Intelligence (AI2), and will work closely with other scientists in GFDL's Weather and Climate Dynamics Division and at AI2. This computational scientist will port AI2's Python-wrapped climate model workflow into GFDL's System for High-resolution prediction on Earth-to-Local Domains (SHiELD) and set up the AI2 machine-learning workflow on a NOAA computing system. The applicant will then work to update the model with the newest version of SHiELD's codes and continue to integrate new updates to SHiELD and in AI2's ML workflow. This applicant will then assist GFDL and AI2 scientists in applying the ML-augmented model to scientific problems of interest.
Scientists or engineers with a strong background in software engineering, computer science, computational science, high-performance computing, machine learning, mathematics, or physics are encouraged to apply. Knowledge of both Python and Fortran will be extremely useful, as will some experience with hydrodynamic codes or numerical models, and machine learning software. Applicants should have strong experience working in a collaborative environment and an ability to learn new technologies. This is a one-year position with potential for renewal based on candidate performance and continued funding. Candidates should have at least a Master's degree in an appropriate field, including but not limited to computer science, mathematics, physics, atmospheric science, or engineering. Complete applications include a CV, publication list, and 2 letters of recommendation. Review of applications will begin immediately and continue until the position is filled. Princeton is interested in candidates who, through their research, will contribute to the diversity and excellence of the academic community.
Applicants should apply online
#job
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Postdoctoral Fellowship in CalTech
The Division of Geological and Planetary Sciences at the California Institute of Technology invites applications for a postdoctoral fellowship in global environmental science beginning in the fall of 2023. The intent of the program is to support innovative and creative early career scientists working in global environmental science, including research in areas such as climate adaptation and mitigation, environmental microbiology, terrestrial and marine biogeochemistry, glaciology, paleo-climatology, atmospheric chemistry and composition, physical oceanography, and climate dynamics. We seek to nurture the careers of exceptional individuals who contribute to a diverse and inclusive scientific workforce.
The fellowship is funded in part by an endowment provided by Foster and Coco Stanback. It carries an annual stipend of $74,000 plus a research expense fund of $10,000 and up to $1,500 for one-way travel costs to Pasadena. The duration of the appointment is normally two years, contingent upon completion of the Ph.D. degree and good progress in the first year. Fellows are eligible to participate in Caltech’s benefit programs, including health and dental programs. The Stanback Fellow will be hosted by one or more division professors (designated by the Chair) who will provide both financial support and mentorship.
To be eligible for the Stanback, candidates should have received their Ph.D. no earlier than April 1, 2022, except in exceptional circumstances.
Materials in support of an application should include curriculum vitae, list of publications, a one-page statement of research interests, and three letters of reference. Complete applications including letters of reference are due by November 11, 2022.
Подаваться тут
#job
The Division of Geological and Planetary Sciences at the California Institute of Technology invites applications for a postdoctoral fellowship in global environmental science beginning in the fall of 2023. The intent of the program is to support innovative and creative early career scientists working in global environmental science, including research in areas such as climate adaptation and mitigation, environmental microbiology, terrestrial and marine biogeochemistry, glaciology, paleo-climatology, atmospheric chemistry and composition, physical oceanography, and climate dynamics. We seek to nurture the careers of exceptional individuals who contribute to a diverse and inclusive scientific workforce.
The fellowship is funded in part by an endowment provided by Foster and Coco Stanback. It carries an annual stipend of $74,000 plus a research expense fund of $10,000 and up to $1,500 for one-way travel costs to Pasadena. The duration of the appointment is normally two years, contingent upon completion of the Ph.D. degree and good progress in the first year. Fellows are eligible to participate in Caltech’s benefit programs, including health and dental programs. The Stanback Fellow will be hosted by one or more division professors (designated by the Chair) who will provide both financial support and mentorship.
To be eligible for the Stanback, candidates should have received their Ph.D. no earlier than April 1, 2022, except in exceptional circumstances.
Materials in support of an application should include curriculum vitae, list of publications, a one-page statement of research interests, and three letters of reference. Complete applications including letters of reference are due by November 11, 2022.
Подаваться тут
#job
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