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Postdoctoral Gis Jobs in Wisconsin (NOW HIRING)

Postdoctoral Gis information

See Wisconsin salary details

$25.2K

$59.6K

$84.3K

How much do postdoctoral gis jobs pay per year?

As of Aug 11, 2026, the average yearly pay for postdoctoral gis in Wisconsin is $59,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $67,100.00 per year, depending on experience, location, and employer.

What is a postdoctoral GIS researcher?

A Postdoctoral GIS researcher is a scholar who has completed their PhD and is conducting advanced research in Geographic Information Systems (GIS). These researchers typically work at universities, research institutes, or industry labs, and focus on spatial data analysis, mapping technologies, and geospatial modeling. Their work often involves developing new GIS methodologies, collaborating with multidisciplinary teams, and publishing findings in academic journals. Postdoctoral GIS positions are usually temporary, lasting from one to three years, and are aimed at further developing research skills and scholarly expertise.

What are the typical collaborative opportunities available to postdoctoral GIS researchers within academic or industry settings?

Postdoctoral GIS researchers often work closely with interdisciplinary teams, including faculty members, data scientists, and field researchers, to design and implement spatial analysis projects. Collaboration is a key part of the role, as GIS postdocs frequently contribute their expertise to larger research initiatives, grant proposals, and publications. Opportunities also exist to partner with external organizations, such as government agencies or private firms, depending on the focus of the research. Regular meetings, workshops, and conferences further enhance networking and knowledge-sharing within the GIS community.

What are the key skills and qualifications needed to thrive as a postdoctoral GIS researcher?

To thrive as a Postdoctoral GIS researcher, you need advanced expertise in geographic information systems, spatial analysis, and a strong research background, typically supported by a Ph.D. in geography, environmental science, or a related field. Proficiency with GIS software such as ArcGIS or QGIS, programming languages like Python or R, and experience with remote sensing or spatial databases is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top candidates in collaborative research environments. These skills enable rigorous scientific inquiry, innovative data analysis, and the successful dissemination of research findings.
What are popular job titles related to Postdoctoral Gis jobs in Wisconsin? For Postdoctoral Gis jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Postdoctoral Gis jobs? Cities in Wisconsin with the most Postdoctoral Gis job openings:
Infographic showing various Postdoctoral Gis job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,574 per year, or $28.6 per hour.

Post Doctorate Research Associate

6AM City

Wausau, WI • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why (https://corporate.exxonmobil.com/About-us/Who-we-are) and how we can work together (https://corporate.exxonmobil.com/Sustainability/Sustainability-Report/Social/Investing-in-people). Summary We are seeking a senior Postdoctoral Research Associate to join our interdisciplinary research team at ExxonMobil Biomedical Sciences, Inc. (EMBSI). The Associate will support and lead a diverse portfolio of applied research projects aimed at evaluating the role of water management in enhancing ecosystem resilience, hydrologic function, and biodiversity across a range of ecosystems. Serving as a cross-disciplinary scientific integrator, the candidate will provide leadership in study design, QA/QC oversight, and technical coordination across hydrologic modeling, hydrogeologic systems, ecological monitoring, and geospatial analytics. This role emphasizes ensuring scientific defensibility, data integrity, and alignment across complex datasets and modeling systems, while synthesizing outputs to inform adaptive management and decision‐making. In addition to coordinating ongoing efforts, the Associate will actively generate novel research directions by translating integrated data insights into new hypotheses, study designs, and strategic initiatives. The position requires close collaboration with a broad team of industry, academic scientists, and 3rd party collaborators to co‐develop approaches, harmonize methodologies, and integrate expertise across disciplines. Through these efforts, the candidate will contribute to high‐impact research, proposal development, and partnerships with academic and industry collaborators, advancing our understanding of the water, soil, plant, animal nexus, including surface‐groundwater interactions. In addition, postdoctoral researchers are encouraged to publish and present their work in peer‐reviewed journals and conferences. This is supported through a standard internal review process designed to protect intellectual property and confidential business information while enabling timely dissemination of scientific results. This opportunity is for a postdoctoral position expected to last one to three years, subject to annual review and renewal. About you Skills and Qualifications Ph.D. in: Hydrology, Hydrogeology, Ecohydrology, Environmental Science, Rangeland Ecology, or related field Demonstrated experience with study design and experimental frameworks, Data QA/QC and management Experience with process‐based hydrologic and/or hydrogeologic models (e.g., SWAT+, APEX, MODFlOW) Strong quantitative and statistical skills (R, Python, or equivalent) Expertise in GIS and spatial analysis (ArcGIS, QGIS, GEE) Track record of peer‐reviewed publications Strong written and verbal communication, coordination, and collaboration skills Ability to work independently while collaborating effectively within an interdisciplinary team Preferred Qualifications / Experience Experience overseeing multi-disciplinary field programs Background in water quality, salinity, nutrient transport systems, or groundwater flow systems Experience with remote sensing integration (LiDAR, UAV, satellite) Experience with surface‐groundwater interaction studies and aquifer characterization Familiarity with regulatory or applied monitoring frameworks Experience working with industry‐sponsored or applied research programs Strong ability to bridge science, operations, and decision‐making What you will do Study Design & Scientific Oversight Provide leadership in study design refinement, ensuring alignment between: Hydrologic and/or hydrogeologic modeling, field monitoring networks, ecological response metrics Develop and standardize sampling frameworks and experimental design across treatment and control areas Ensure consistency between field data collection, modeling assumptions, and reporting outputs Support development of monitoring plans and adaptive management frameworks QA/QC & Data Governance Ensure implementation of QA/QC protocols across all project datasets, including: Hydrology, hydrogeology, vegetation, wildlife Establish data validation workflows, metadata standar #J-18808-Ljbffr