CLIR/DLF Postdoctoral Fellow in Data Curation for Energy Social Science

at Carnegie Mellon University (view profile)
Location Pittsburgh, PA
Date Posted November 4, 2019
Category Academic
Job Type Temporary/Term-Limited
Apply Here https://www.clir.org/fellowships/postdoc/applicants/
Twitter Handle @CMUenergy

Description

Carnegie Mellon University

CLIR/DLF Postdoctoral Fellow in Data Curation for Energy Social Science

Twoyear full time position starting mid-2020

The Wilton E. Scott Energy Institute and the University Libraries at Carnegie Mellon University jointly seek exceptional researchers with a focus on digital scholarship, data visualization and data curation relevant to research in energy and climate sciences. We invite applications for the position of CLIR/DLF Postdoctoral Fellow in Data Curation for Energy Social Science.

This two-year position is central to the shared goal of the Scott Energy Institute and University Libraries to explore new techniques and best practices in data curation and visualization and the creation of original and innovative scholarship in support of energy research and other forms of data-intensive science across the university. The fellow will contribute to the research endeavors of the Scott Energy Institute, will help lead the development of data curation best practices, and drive awareness of the existing policy environment and infrastructure  for managing data critical to the study of energy, including, but not limited to, grid modernization and transportation energy; environmental science; and climate change. The fellow will also help develop additional resources and services as needed, and engage in original research relevant to their area of expertise.

This position co‐reports to Jay Whitacre, Trustee Professor in Energy, Engineering and Public Policy; Materials Science and Engineering and Director, Wilton E. Scott Institute for Energy innovation and to Brian Mathews, Associate Dean for Innovation, Preservation and Access at the University Libraries.

Within data curation, the fellow should set an example of research, scholarship, learning, outreach and community engagement. In addition to pursuing their own research, the fellow will work with Scott Energy Institute and University Libraries leadership to identify and pursue new avenues of support for data visualization and data curation as well as promoting data reuse. The ideal candidate will have expertise related to an area of data analysis, visualization or curation, ideally from a relevant disciplinary background. Successful candidates will possess initiative and a vision of research and service that fits with the Energy Institute and University Libraries missions.

Responsibilities:

Lead research on energy data curation and visualization and related areas of scholarship. This may involve original research, or outreach and program coordination with a range of stakeholders and university community members.

Grow the Scott Energy Institute’s programs through original research in areas such as data visualization and curation and promote development of data literacy programs. This may require seeking additional funding both from traditional agencies and new sources, to further expand original scholarship or support software development.

Participate in research across campus. The projects the Fellow will lead will illustrate best practices in data curation and visualization, providing leadership through practice and instruction.

Collaborate with Scott Energy Institute, University libraries, and wider CMU communities, both in short-term projects and in longer term efforts that may require joint funding with partners to coordinate and participate in educational events for the campus community, ranging from short tutorials to multi-day workshops.

Qualifications:

Required:

  • PhD (completed, or graduation anticipated by June 2020) in energy or climate science, environmental engineering, or a data-intensive academic field
  • Ability to work both independently and collaboratively in an innovative, interdisciplinary, and diverse environment
  • Demonstrated creativity, initiative, and innovative thinking
  • Strong organizational, communication, and interpersonal skills
  • Ability to engage with people in a range of scholarly fields and with interdisciplinary groups and centers
  • Willingness to participate in teaching and training initiatives related to the fellowship or area of research

Desired:

  • Experience using software repositories and version control systems (e.g., Git) as well as virtual computing environments (e.g., Docker)
  • Experience with tools used to support data visualization (such as Tableau) and related programming languages (e.g. R, Python)
  • Familiarity with software development and associated technologies
  • Excellent skills in project management and workflow design
  • Experience in teaching, outreach, communication, and collaborating with faculty and
  • researchers
  • Experience coordinating and promoting programs and/or services

Compensation

Salary is $72,000 per annum for a two-year appointment. Additional funding is available for conference travel.

CMU employee benefits include medical, transportation, and tuition benefits; university retirement contributions are subject to cliff vesting. A complete listing of benefits, including University holidays and paid time off, is available at: http://www.cmu.edu/jobs/benefits-at-a- glance/index.html

Fellows will receive 20% time for their own personal research.

How to Apply 
Applicants must register and apply through CLIR’s online application system.

About Carnegie Mellon University

Carnegie Mellon was founded in 1900 by Andrew Carnegie under the premise that a school established to foster and develop the technical skills of its students would soon produce students and graduates whose work would astound Pittsburgh and the world. Over 100 years later, our institution continues to produce talented alumni and draws faculty and staff eager to be a part of the university's creative, passionate and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, an entrepreneurial spirit, and collaboration.