Job Description

Job Title: Postdoctoral Fellow I Location: Boulder, CO Type: Full-time, Exempt Position Term: 2-year term position Application Deadline: This position will be posted until filled. Review of applicants will begin on Feb. 19, 2021. All applicants received by that date will be given full consideration. Relocation: Partial relocation assistance is available for this position. Work Authorization: UCAR/NCAR will sponsor a work visa to fill this position. Salary: $68,220.00 Benefits: UCAR affirms its continuing commitment to developing, providing, and administering its employee benefit programs with due consideration for equal employment opportunity and diversity guidelines. UCAR's rich package of employee benefits includes medical, dental, vision, education assistance, retirement, and life insurance. UCAR offers a variety of programs designed to assist with work-life balance including flexible work alternatives, paid time off and 14 weeks of paid parental leave. Where You Will Work: Located in Boulder, Colorado, the National Center for Atmospheric Research (NCAR) is one of the worlds premier scientific institutions, with an internationally recognized staff and research program dedicated to advancing knowledge, providing community-based resources, and building human capacity in the atmospheric and related sciences. NCAR is sponsored by the National Science Foundation (NSF) and managed by the University Corporation for Atmospheric Research (UCAR). Climate and Global Dynamics Laboratory (CGD) is part of the National Center for Atmospheric Research (NCAR). Its mission is to: Discover the key processes in each component of the Earth's climate system and the interactions among them; Represent this understanding in models and thereby provide a basis for prediction of climate; and Apply this understanding and these models to scientific problems of societal relevance. We fulfill our mission through a strong record of achievement in scientific research, community modeling and data set development. Our success is due in large measure to numerous and diverse collaborations with other NCAR Laboratories, with the university community, with Government Laboratories, and increasingly with private industry: hereafter collectively referred to as CGD Partners. We are also very proud of our community service, leadership of national and international research programs, and educational and outreach activities. Accomplishments in these areas are detailed each year in our NESL and NCAR Annual Reports. In addressing its mission, CGD contributes to the vision and mission of NCAR, as well as to the overarching goals articulated in the strategic plan of the National Science Foundation (NSF). As such, it helps NCAR to uphold a position of world leadership in science and technology, promoting the transfer of new knowledge to society, and contributing to excellence in science and technology education. http://www.cgd.ucar.edu/about/?ref=nav What You Will Do: The goal of this position is to analyze the atmospheric sources contributing to the systematic bias in sea surface temperatures (SSTs) in the Community Earth System Model (CESM) and to use machine learning to develop parameterizations for the representation of missing physical processes. The work will involve (1) analysis of atmospheric analysis increments produced by data assimilation system to determine the SST bias and it sources, (2) employ machine learning techniques to develop a parameterization for the missing physical processes, (3) run the climate model with the developed parameterization and quantify the impact of the new parameterization on climate mean and variability. This work is part of a larger effort to use multiscale machine learning to improve coupled Earth System Models. As such, the Fellow will interact with a cohort of Postdoctoral Fellows from multiple institutions involved in the project who are investigating different aspects of the coupled Earth System. They will also interact with the large number of PIs involved in the project. The position includes conducting scientific, statistical analyses, designing and executing experiments, giving presentations at scientific meetings, and publication of peer-reviewed articles. The incumbent must have knowledge and experience in the areas of climate modelling, data assimilation and/or machine learning. Excellent skills in oral and written communication, processing geophysical data sets, statistical analysis, and graphical presentation are expected. Priorities will be determined in consultation with the NCAR investigators of the project. The incumbent is expected to operate with a significant degree of independence. Responsibilities: Analysis of data assimilation increments to analyze systematic model bias. Train ML algorithms to represent systematic bias. Devices new simulations with CESM with ML-parameterization. Interacts with the project collaborators and partners regularly for coordinated / joint analysis and experimentation. Takes the lead and participates in writing of scientific journal articles. Presents results at relevant meetings. Develops diagnostic products for the tasks above. What You Need: Education and Years of Experience: A Ph.D. or equivalent experience in the atmospheric sciences and/or ML; demonstrated understanding of model error; research experience in a relevant field, with contributions to refereed journals. Knowledge, Skills, and Abilities: Understanding, through published or academic work, of modeling complex, geophysical processes. Experience with machine learning techniques. Experience of knowledge of atmospheric physical processes in models of weather and/or climate. Demonstrated knowledge of statistical analysis and graphical presentation, in particular Python. Excellent oral and written communication skills. Ability to work both independently and collaboratively. Applicant Notes: A cover letter is required. Must submit contact information for 3 references. An Inclusion Statement will be required for all applicants advancing to an in-person interview. If requested, this statement should address past efforts, as well as future vision and plans to advocate for and advance diversity, equity, and inclusion in the organization and/or field of work. A pre-employment screening is conducted in conjunction with an offer for employment. This screening may involve verifying or reviewing any of the following relevant information: restricted parties screening, employment verification, performance records of internal candidates, education verification, reference checks, verification of professional licenses, certifications, and Motor Vehicle Records. UCAR complies with the Fair Credit Reporting Act (FCRA). Please note that while the position description details both minimum requirements as well as desired skills and experience, we want to remind applicants that you do not need to have all the desired skills and experience to be considered for this role. If you have the passion for the work along with experience in a related field, you are encouraged to apply. We can provide on-the-job training for the rest. The University Corporation for Atmospheric Research (UCAR) is an equal opportunity/equal access/affirmative action employer that strives to develop and maintain a diverse workforce. UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy. Whatever your intersection of identities, you are welcome at the University Corporation for Atmospheric Research (UCAR). We are committed to inclusivity and promoting an equitable environment that values and respects the uniqueness of all members of our organization.,id:153576230},mode:view,requestUri:/en-US/UCAR_Careers/flowController,sessionSecureToken:rpik1i6135vme6ee095hho4ql,userLanguageCode:en-US,preferredLabelPosition:atopotificationAlertUri:/notifications-alert,pmdFetchTime:0,smdFetchTime:0,structuredDataAttributes:{data:{n title : Postdoctoral Fellow I - learning model error @context : http://schema.org/ @type : JobPosting datePosted : 2021-02-04 description : Job Title: Postdoctoral Fellow I

Location: Boulder, CO

Type: Full-time, Exempt

Position Term: 2-year term position

Application Deadline: This position will be posted until filled. Review of applicants will begin on Feb. 19, 2021. All applicants received by that date will be given full consideration.

Relocation: Partial relocation assistance is available for this position.

Work Authorization: UCAR/NCAR will sponsor a work visa to fill this position.

Salary: $68,220.00

Benefits: UCAR affirms its continuing commitment to developing, providing, and administering its employee benefit programs with due consideration for equal employment opportunity and diversity guidelines. UCAR's rich package of employee benefits includes medical, dental, vision, education assistance, retirement, and life insurance. UCAR offers a variety of programs designed to assist with work-life balance including flexible work alternatives, paid time off and 14 weeks of paid parental leave.

Where You Will Work:

Located in Boulder, Colorado, the National Center for Atmospheric Research (NCAR) is one of the worlds premier scientific institutions, with an internationally recognized staff and research program dedicated to advancing knowledge, providing community-based resources, and building human capacity in the atmospheric and related sciences. NCAR is sponsored by the National Science Foundation (NSF) and managed by the University Corporation for Atmospheric Research (UCAR).

Climate and Global Dynamics Laboratory (CGD) is part of the National Center for Atmospheric Research (NCAR).

Its mission is to:

Discover the key processes in each component of the Earth's climate system and the interactions among them; Represent this understanding in models and thereby provide a basis for prediction of climate; and Apply this understanding and these models to scientific problems of societal relevance.

We fulfill our mission through a strong record of achievement in scientific research, community modeling and data set development. Our success is due in large measure to numerous and diverse collaborations with other NCAR Laboratories, with the university community, with Government Laboratories, and increasingly with private industry: hereafter collectively referred to as CGD Partners. We are also very proud of our community service, leadership of national and international research programs, and educational and outreach activities. Accomplishments in these areas are detailed each year in our NESL and NCAR Annual Reports.

In addressing its mission, CGD contributes to the vision and mission of NCAR, as well as to the overarching goals articulated in the strategic plan of the National Science Foundation (NSF). As such, it helps NCAR to uphold a position of world leadership in science and technology, promoting the transfer of new knowledge to society, and contributing to excellence in science and technology education.

http://www.cgd.ucar.edu/about/?ref=nav

What You Will Do:

The goal of this position is to analyze the atmospheric sources contributing to the systematic bias in sea surface temperatures (SSTs) in the Community Earth System Model (CESM) and to use machine learning to develop parameterizations for the representation of missing physical processes.

The work will involve (1) analysis of atmospheric analysis increments produced by data assimilation system to determine the SST bias and it sources, (2) employ machine learning techniques to develop a parameterization for the missing physical processes, (3) run the climate model with the developed parameterization and quantify the impact of the new parameterization on climate mean and variability.

This work is part of a larger effort to use multiscale machine learning to improve coupled Earth System Models. As such, the Fellow will interact with a cohort of Postdoctoral Fellows from multiple institutions involved in the project who are investigating different aspects of the coupled Earth System. They will also interact with the large number of PIs involved in the project.

The position includes conducting scientific, statistical analyses, designing and executing experiments, giving presentations at scientific meetings, and publication of peer-reviewed articles.

The incumbent must have knowledge and experience in the areas of climate modelling, data assimilation and/or machine learning. Excellent skills in oral and written communication, processing geophysical data sets, statistical analysis, and graphical presentation are expected.

Priorities will be determined in consultation with the NCAR investigators of the project. The incumbent is expected to operate with a significant degree of independence.

Responsibilities:

* Analysis of data assimilation increments to analyze systematic model bias.
* Train ML algorithms to represent systematic bias.
* Devices new simulations with CESM with ML-parameterization.
* Interacts with the project collaborators and partners regularly for coordinated / joint analysis and experimentation.
* Takes the lead and participates in writing of scientific journal articles. Presents results at relevant meetings.
* Develops diagnostic products for the tasks above.

What You Need:

Education and Years of Experience:

* A Ph.D. or equivalent experience in the atmospheric sciences and/or ML; demonstrated understanding of model error; research experience in a relevant field, with contributions to refereed journals.

Knowledge, Skills, and Abilities:

* Understanding, through published or academic work, of modeling complex, geophysical processes.
* Experience with machine learning techniques.
* Experience of knowledge of atmospheric physical processes in models of weather and/or climate.
* Demonstrated knowledge of statistical analysis and graphical presentation, in particular Python.
* Excellent oral and written communication skills.
* Ability to work both independently and collaboratively.

Applicant Notes:

* A cover letter is required.
* Must submit contact information for 3 references.
* An Inclusion Statement will be required for all applicants advancing to an in-person interview. If requested, this statement should address past efforts, as well as future vision and plans to advocate for and advance diversity, equity, and inclusion in the organization and/or field of work.
* A pre-employment screening is conducted in conjunction with an offer for employment. This screening may involve verifying or reviewing any of the following relevant information: restricted parties screening, employment verification, performance records of internal candidates, education verification, reference checks, verification of professional licenses, certifications, and Motor Vehicle Records. UCAR complies with the Fair Credit Reporting Act (FCRA).
* Please note that while the position description details both minimum requirements as well as desired skills and experience, we want to remind applicants that you do not need to have all the desired skills and experience to be considered for this role. If you have the passion for the work along with experience in a related field, you are encouraged to apply. We can provide on-the-job training for the rest.

The University Corporation for Atmospheric Research (UCAR) is an equal opportunity/equal access/affirmative action employer that strives to develop and maintain a diverse workforce. UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy.

Whatever your intersection of identities, you are welcome at the University Corporation for Atmospheric Research (UCAR). We are committed to inclusivity and promoting an equitable environment that values and respects the uniqueness of all members of our organization.