Postdoctoral Researcher: Remote Sensing AI & Landsat

Rochester Institute of Technology

United States

Vor Ort

USD 35.000 - 90.000

Vollzeit

14 Tage+

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Zusammenfassung

The Rochester Institute of Technology invites applications for a Postdoctoral Research Associate to advance remote sensing algorithms, simulation, and AI/ML methods using the DIRSIG model.

The successful candidate will evaluate instrument performance, contribute to NASA/USGS Landsat goals, and collaborate with leading researchers on topics at the intersection of physics-based simulation, radiative transfer, and artificial intelligence on campus in New York.

Qualifikationen

  • Ph.D. or equivalent terminal degree in a related field.
  • Experience conducting independent and collaborative research.
  • Strong written and oral communication skills.
  • Ability to manage data and perform reproducible analyses.
  • Familiarity with scientific publishing standards.

Aufgaben

  • Independently conducts research including design and planning of studies, data management, model development, and analysis.
  • Collaborates with internal and external stakeholders.
  • Ensure compliance with institutional, sponsor, and regulatory requirements.
  • Disseminates and publishes results in peer‑reviewed journals, reports, meetings, workshops, and conferences.
  • Assists in the writing of grant proposals.
  • May assist in teaching classes.
  • May mentor and assist undergraduate and/or graduate students.
  • May assist in managing research laboratories.

Kenntnisse

Research planning
Data analysis
Collaborative skills
Scientific writing
Problem solving

Ausbildung

Ph.D. or equivalent terminal degree in a related field

Tools

DIRSIG

Jobbeschreibung

The Rochester Institute of Technology invites applications for a Postdoctoral Research Associate to advance remote sensing algorithms, simulation, and AI/ML methods using the DIRSIG model.

The successful candidate will evaluate instrument performance, contribute to NASA/USGS Landsat goals, and collaborate with leading researchers on topics at the intersection of physics-based simulation, radiative transfer, and artificial intelligence on campus in New York.

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