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Postdoctoral Associate (Department of Earth and Atmospheric Sciences); Ithaca, New York

Department of Earth and Atmospheric Sciences
Postdoctoral Associate

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University's second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world's complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world.

Position Function

The Department of Earth and Atmospheric Sciences at Cornell University is seeking a Postdoctoral Associate to develop cutting-edge machine learning and AI techniques for improving drought prediction, seasonal forecasting, and numerical weather and climate modeling. Climate change is exacerbating the occurrence and intensity of extreme events, such as droughts, and there is an urgent need for advanced computational methods to enhance our understanding and prediction capabilities of these phenomena. This position is supported outside of traditional funding mechanisms, and hence the Postdoctoral Associate will have additional flexibility in learning, adapting, and publishing on ML/AI and its applications to atmospheric and climate science research.

The primary focus of this position is to leverage state-of-the-art machine learning and AI algorithms to extract valuable insights from high-resolution climate datasets, including dynamical, classical statistical, and machine learning-based downscaling. The overarching goal is to improve the usability of climate information for practitioners by better quantifying and communicating uncertainties in regional and local climate projections, with a particular emphasis on extreme events.

This project offers an exciting opportunity to bridge fundamental and applied climate science, allowing you to develop a diverse skill set desirable in both the private and public sectors. You will have the chance to collaborate with renowned institutions such as the National Center for Atmospheric Research (NCAR) and the National Oceanic and Atmospheric Administration's Geophysical Fluid Dynamics Laboratory (NOAA GFDL), as well as publish research in top-tier journals.

This position is full-time and will be located in Ithaca, New York.

This is a one-year appointment with a possible extension depending on funding and performance.

Anticipated Division of Time

* Develop, design, and apply Machine Learning/AI algorithms and workflows for improving weather, seasonal forecasts, and climate model projections. Applications might include (but are not limited to) novel downscaling methods, ensemble post-processing and bias correction, model parameterization, land-atmosphere coupling analysis, and new experimental approaches for synthesizing observational data with model output (40%).
* Write manuscripts and publish results in high-quality, peer-reviewed journals, and present results at conferences and seminars (40%).
* Self-directed research and professional development (10%).
* Attend conferences and travel to collaborate with project partners (5%).

* Mentorship and knowledge sharing: activities could include helping to organize dept. hackathons, assisting graduate and undergraduate students with research projects, guest lectures, etc. (5%).

Requirements

* Ph.D. in atmospheric science or related field.
* Experience with climate models, seasonal forecast products (e.g., NMME), numerical weather models, or expertise in other aspects of working with large geospatial datasets.
* Excellent written and oral communication skills.
* Proficiency in Python (preferred) or other data analysis software.
* Ability and desire to pursue research both independently and as part of a team.
* Evidence of interest in teaching, mentoring, or outreach.

* Must be able to meet the travel requirements of the position, and have reliable transportation as well as have and maintain a valid and unrestricted New York State driver's license and be cleared to drive for university business.

Supervision Exercised

The successful candidate is expected to work with undergraduate and graduate group members on related or different research and provide mentorship and guidance when collaborating.

To apply:

Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/27698).

Qualifiedcandidates should submit a short cover letter, curriculum vitae, contact information for three references, and astatement supporting diverse communities(this can be a stand-alone document (preferred) or the information can be embedded in other parts of the application materials) outlining how, through research, teaching, service, mentoring, extension, and/or outreach, the candidate has and will contribute to support Cornell's historical mission of "any person ... any study,"via the website.

Applications will be reviewed as received, continuing until a suitable applicant is identified.

CALS hiring range for this title is $56,484 to $61,008.

College of Agriculture and Life Sciences
Life. Changing.

Cornell University is an innovative Ivy League and Land-grant university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.

Cornell's regional and global presence includes state-wide Cornell Cooperative Extension programs and offices in all counties and boroughs, global partnerships with institutions and communities engaged in life-changing research and education, the medical college's campuses on the Upper East Side of Manhattan and Doha, Qatar, and the Cornell Tech campus on Roosevelt Island in the heart of New York City.

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.

Pay Range:

Pay Ranges:

The hiring rate of pay for the successful candidate will be determined considering the following criteria:

• Prior relevant work or industry experience.

• Education level to the extent education is relevant to the position.

• Academic Discipline (faculty pay ranges reflects 9-month annual salary)

• Unique applicable skills.

Familiarize yourself with Cornell's COVID-19 workplace guidance as well as the university's COVID-19 services and information.

Employment Assistance:

For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu.

If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Institutional Equity and Title IX at voice (607) 255-2242, or email atequity@cornell.edu.

Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu.

Notice to Applicants:

Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.

EEO Statement:

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.

EEO Statement: Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.

Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly