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interfolio

Postdoctoral Research Scholar

Arizona State University
Tempe, USA
Full-time
Senior
Onsite
Discovered 1 months ago
PyTorchTensorFlowHugging Face TransformersPEFTGDALGoogle Earth Engine

Full Job Posting

About the School of Geographical Sciences and Urban Planning

SGSUP is proudly transdisciplinary. The mission of SGSUP is to advance geospatial knowledge for a complex world, emphasizing education, research, and applied solutions to urban and environmental problems.

We are a distinctive community of social and physical scientists whose blended expertise is producing breakthroughs in urban planning and geography.

We are committed to the social and environmental well-being of communities, places, and people.

We are world leaders in spatial science and urban climatology.

We are emerging leaders in social equity, transportation, housing, urban systems analysis, human-environmental systems, sustainability, resilience, and earth surface processes.

SPGS houses research centers, including the Spatial Analysis Research Center (SPARC) and the Urban Climate Research Center (UCRC), and has a recognized strength in spatial science, AI, human environmental systems, urban systems analysis, earth surface processes, transportation, and urban planning.

About The College of Liberal Arts and Sciences

The College of Liberal Arts and Sciences is the academic heart of Arizona State University, committed to improving communities on a local, national, and global scale. We support the professional development and growth of our faculty and staff in their cutting-edge research to advance these aims. Within The College, our faculty engage with a large, curious student body, guiding them as they grow into socially aware, critical thinkers and writers able to succeed in a wide range of careers and to address the challenges of the twenty- first century. Advancing the success of our students remains our top priority. To learn more about The College of Liberal Arts and Sciences, please visit: https://thecollege.asu.edu .

About Arizona State University

ASU exemplifies a new prototype for the American public research university. As articulated in the ASU Charter, ASU is a comprehensive public research university, measured not by whom it excludes, but by whom it includes and how they succeed; advancing research and discovery of public value; and assuming fundamental responsibility for the economic, social, cultural, and overall health of the communities it serves.

Essential Functions

Develop, train, and fine-tune cutting-edge AI and GeoAI models for environmental monitoring and the analysis of complex spatiotemporal phenomena.

Integrate multimodal geospatial data (e.g., satellite, in-situ, and social data) to advance understanding of Earth system processes.

Publish research results in high-impact journals and present findings at major international conferences.

Collaborate with interdisciplinary teams across Earth science, computer science, and sustainability domains to support project goals and proposal development.

Mentor graduate and undergraduate students, fostering collaboration and research excellence.

Contribute to the development of open-source tools, datasets, or workflows that advance the broader GeoAI research community.

Required Qualifications

  • Ph.D. or terminal degree in Computer Science, Remote Sensing, GIScience, or a closely related field by the time of appointment.
  • Strong background in deep learning, computer vision, or generative AI.
  • Demonstrated experience with one or more deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Demonstrated ability to work with large-scale Earth observation data and apply AI methods for geospatial big data analysis.
  • Record of peer-reviewed publications in relevant fields.

Desired Qualifications

  • Demonstrated experience with GeoAI methods, including multimodal learning, foundation models, large language models (LLMs), and/or vision-language models (VLMs).
  • Familiarity with frameworks such as PyTorch, Hugging Face Transformers, and PEFT, with proficiency in multimodal learning, transformer-based architectures, and applying these models for spatiotemporal reasoning and geospatial understanding.
  • Proven ability to work with geospatial and remote sensing data, including data processing and analysis using tools such as GDAL, Google Earth Engine, or similar platforms, and working in cloud or high-performance computing (HPC) environments.
  • Demonstrated experience and understanding of spatiotemporal modeling, AI-driven environmental mapping, or forecasting applications.
  • Excellent written and oral communication skills, and a demonstrated ability to work collaboratively in interdisciplinary research teams.
  • Demonstrated commitment to working with faculty, staff, students, and communities to advance the principles of the ASU Charter .

Application Instructions

  • The application deadline is March 1, 2026. Applications will continue to be accepted on a rolling basis for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled. Candidates will be asked to create or use an existing Interfolio Dossier to submit the following application materials:
  • Cover letter explaining the candidate’s professional experience, research interest in, and fit with the position, and how your work will advance ASU’s commitment to inclusive excellence (https://inclusion.asu.edu)
  • Curriculum Vitae
  • Up to three peer-reviewed journal or conference publications, preferably with links to code repositories.
  • Contact information (name, email, and telephone number) for three references.
  • This is a paperless search, and only materials submitted electronically as outlined above will be considered. Questions related to the search may be addressed to Dr. Wenwen Li ( [email protected] ).

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