Postdoctoral Scholar - Earth and Environmental Sciences
City of Syracuse, Syracuse, Onondaga County, New York, 13201, USA
Listed on 2026-09-26
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Research/Development
Postdoctoral Research Fellow, Research Scientist, Data Scientist
Postdoctoral Scholar
- Earth and Environmental Sciences
Job Title Postdoctoral Scholar
- Earth and Environmental Sciences
Campus
Commitment to On-Campus ExperienceSyracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in-person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus.
Remote work arrangements are limited in accordance with University policy.
Pay Range $63,500 - $70,000
Salary offers at Syracuse University will be based on education, experience, and relevant skills, as well as the academic or professional discipline of the position in the context of the home department, school, or college. Salary offers may also be influenced by prior relevant work or industry experience, where applicable. Faculty pay ranges are for 8.5 months’ salary unless otherwise specified.
FLSAStatus
FLSA Status Exempt
HoursAs determined by supervisor.
Job TypeJob Type Full-time
RankRank Post Doc
Unionized Position Code Not Applicable
Job DescriptionThe Department of Earth and Environmental Sciences at Syracuse University invites applications for a Postdoctoral Scholar position in quantitative structural geology and deformation processes. The successful candidate will join a growing research program focused on deformation, fluid pathways, and landscape evolution in the upper crust, and will play a central role in establishing a new experimental deformation laboratory.
Research in the group investigates fault-system evolution, deformation partitioning, and structural controls on fluid flow and mineralization through the integration of analogue modeling, remote sensing, geospatial analysis, and computational methods. Research applications include critical mineral systems, geologic hazards, and Earth-surface processes.
The successful candidate will contribute to projects spanning laboratory experiments, digital image correlation, remote sensing, and quantitative analysis of natural deformation systems, while helping to shape the future direction of a growing research group.
Qualifications- Ph.D. in geoscience, geology, geophysics, geomorphology, engineering, remote sensing, Earth system science, or a closely related discipline by the anticipated start date
- Demonstrated experience in quantitative analysis of geospatial, experimental, image-based, or Earth science datasets.
- Strong quantitative, programming, and data analysis skills.
- Experience developing reproducible computational workflows.
- Evidence of scientific communication through publications, presentations, reports, software, datasets, or related scholarly products.
- Ability to work both independently and collaboratively in an interdisciplinary research environment.
Preferred qualifications include experience or interest in one or more of the following:
- Structural geology, tectonics, geomechanics, geomorphology, Earth-surface processes, or related Earth science disciplines.
- Experimental geoscience, laboratory-based research, analogue modeling, rock mechanics, or instrumentation.
- Image processing, computer vision, digital image correlation, photogrammetry, or quantitative analysis of large image-based datasets.
- Remote sensing, geospatial analysis, deformation monitoring, Earth observation, or related spatial datasets.
- Fault systems, distributed deformation, landscape evolution, fluid pathways, mineralization, or related crustal processes.
- Scientific programming in Python, R, MATLAB , or similar languages.
- Experience integrating diverse datasets, including field observations, laboratory measurements, remote-sensing products, geospatial data, or numerical model outputs.
- Experience developing quantitative, transferable, and process-based approaches to Earth science problems.
- Development of reproducible computational workflows using version control, notebooks, open-science tools, or high-performance computing resources.
- Experience mentoring students or collaborating within interdisciplinary research teams.
- Strong written and oral communication skills.
Responsibilities include:
- Conducting independent and collaborative research in structural geology, tectonics, and geomechanics.
- Designing, conducting, and analyzing…
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