Research Support Specialist II (Department of Earth and Atmospheric Science at Cornell University
Ithaca, NY 14853, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Oct, 25

Salary

77625.0

Posted On

13 Jul, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Software, Atmospheric Science

Industry

Education Management

Description

WHO WE ARE

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.
The mission of the Department of Earth and Atmospheric Sciences (EAS) is to advance knowledge of Earth’s natural systems and history, and to develop future leaders. EAS is a global leader in research directed toward understanding the fundamental processes that have shaped our planet. The greatest challenges of the 21st century – climate change, energy, soil degradation, fresh water scarcity, natural disasters, and mineral resource depletion – are all rooted in humanity’s relationship with Earth.
The Northeast Regional Climate Center (NRCC) is one of six federal centers that disseminates climate data, data products, and decision tools to regional stakeholders and is on the forefront of developing online data dissemination systems that are in use nationally. Increasingly, these systems are being tailored to address issues related to climate change adaptation.

WHAT WE NEED

We are looking for a talented individual who excels at building and maintaining effective relationships with stakeholders. We need someone who has a strong interest in climate change research and disseminating information to the Northeast. Additionally, we need someone who has the following:

  • Bachelor’s degree in atmospheric science or related field and 3+ years of relevant experience in working with large gridded climatological datasets, or the equivalent combination of education and experience.
  • Experience in Microsoft Office Suite (Excel, Word, and PowerPoint).
  • Proficiency in Python or other data analysis software.
  • Familiarity with federal and regional climate data sources
  • Excellent written and oral communication skills.
  • Ability to pursue research independently and as part of a team.
  • 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.
  • Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members.

If you possess these experiences and skills, this may be the role for you! There are a few other qualifications that we would view as incredibly helpful in this role, including:

  • M.S. or Ph.D. in atmospheric science or related field.
  • Experience with machine learning methods and software.
  • Ability and desire to create clear and compelling visualizations.
  • Ability to convey complex results and methodologies to a lay audience.

ABOUT US

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. With our main campus located in Ithaca, NY, Cornell’s far-flung global presence includes the medical college’s campuses on the Upper East Side of Manhattan and Doha, Qatar, as well as the Cornell Tech campus located on Roosevelt Island in the heart of New York City.
We offer a rich array of services, programs and benefits to help employees advance in their career and enhance the quality of personal life, including: employee wellness, workshops, childcare and adoption assistance, parental leave, flexible work options

Responsibilities

WHAT YOU WILL DO

You will develop quality control procedures for climatological data as well as code web platforms for disseminating climate data products to stakeholders. One of the project’s focuses is to explore future changes in extreme precipitation occurrence. The outcomes will inform New York City’s climate change adaptation and resiliency planning. The other will explore drought vulnerability in the state with specific work to develop forecast methods for streamflow, groundwater, and soil moisture, ideally using machine learning techniques. Other duties include:

  • Developing manuscripts reporting research results in peer-reviewed literature.
  • Participating in computer database design, utilization and research/data analysis, and suggesting future improvements in data measurement.
  • Consulting with researchers to refine and/or adapt methodologies to fit specific research requirements.
  • Managing large gridded data sets from multiple sources with the ability to efficiently store and access these data from cloud-based services.
  • Analyzing and interpreting quantitative data.

If you possess these experiences and skills, this may be the role for you! There are a few other qualifications that we would view as incredibly helpful in this role, including:

  • M.S. or Ph.D. in atmospheric science or related field.
  • Experience with machine learning methods and software.
  • Ability and desire to create clear and compelling visualizations.
  • Ability to convey complex results and methodologies to a lay audience
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