... and geospatial data. * Design and implement reproducible pipelines that ingest, clean, and ... Explore applications of AI methods, including large language models and natural language processing ...
... and geospatial data. * Design and implement reproducible pipelines that ingest, clean, and ... Explore applications of AI methods, including large language models and natural language processing ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
New
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
New
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
New
The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...
New
$143K/yr
... AI, IoT, and positioning technology? Trimble is looking for a passionate problem-solver like you to define the vision for our core geospatial monitoring business. You will lead global strategies to ...
$143K/yr
... AI, IoT, and positioning technology? Trimble is looking for a passionate problem-solver like you to define the vision for our core geospatial monitoring business. You will lead global strategies to ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
By integrating geospatial data, engineering requirements, and construction logistics, the Survey ... Recommend and integrate new tools (e.g., automated pole-mount detection, AI-enhanced utility clash ...
Geospatial Ai information
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve overseeing complex projects, developing innovative algorithms, and utilizing tools like Python, TensorFlow, or cloud platforms, with compensation reflecting the expertise and impact of the role.
What are the key skills and qualifications needed to thrive as a Geospatial AI Specialist, and why are they important?
To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.
What is the difference between Geospatial Ai vs GIS Analyst?
| Aspect | Geospatial Ai | GIS Analyst |
|---|---|---|
| Required Credentials | Degree in GIS, Computer Science, or related; experience with AI/ML tools | Degree in Geography, GIS, or related; proficiency in GIS software |
| Work Environment | Tech-focused, data science teams, field data collection | Office-based, mapping, spatial data analysis |
| Industry Usage | Tech companies, AI-driven mapping, autonomous systems | Government, urban planning, environmental management |
| Search & Comparison Intent | Focus on AI applications in geospatial data | Focus on traditional spatial data analysis |
Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.
Will GIS jobs be taken by AI?
GIS jobs involve analyzing spatial data, and AI tools are increasingly used to automate data processing and mapping tasks. However, GIS professionals are needed for data interpretation, decision-making, and managing complex projects that require human expertise. AI complements GIS work but is unlikely to fully replace skilled GIS specialists in the near future.
What is geospatial AI?
Geospatial AI involves using artificial intelligence techniques to analyze and interpret geographic data, such as satellite imagery, maps, and spatial datasets. It is commonly used in fields like urban planning, environmental monitoring, and disaster response, often requiring skills in machine learning, GIS tools, and data analysis. Professionals in this area develop models to extract insights from spatial information to support decision-making.
Is geospatial intelligence a good career?
Geospatial intelligence is a growing field that involves analyzing geographic data using tools like GIS and remote sensing. It offers opportunities in government, defense, and private sectors, often requiring technical skills and security clearances. The career can be stable and well-paying for those with relevant expertise and certifications.
How do Geospatial AI professionals typically collaborate with other teams to deliver actionable insights?
Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.
What are popular job titles related to Geospatial Ai jobs in Indiana? For Geospatial Ai jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Geospatial Ai jobs in Indiana look for? The top searched job categories for Geospatial Ai jobs in Indiana are:
What cities in Indiana are hiring for Geospatial Ai jobs? Cities in Indiana with the most Geospatial Ai job openings:
Full-time
Posted 4 days ago
University Of Notre Dame rating
7.4
Based on 45 frontline employees who took The Breakroom Quiz
301st of 555 rated colleges and universities
Job description
Description
The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI). This fellow will join a dynamic, interdisciplinary team working at the intersection of data innovation and sustainability science, aligned with the values and principles of integral ecology.
The research fellow will contribute to a new research project that is creating a Pan-Amazon Evidence and Action Hub for socio-economic and ecological flourishing. The hub will systematically synthesize and harmonize remote sensing, survey, census, and citizen science data to support analyses of issues for action in partnership with local communities and Indigenous Peoples in the Amazon region. Fellows will integrate and harmonize fragmented data from diverse sources into a coherent, usable form to support novel analyses that advance key sustainability goals. The work of the Hub will generate findings to support the design and adoption of interventions that respond to changing needs of the region and its people around climate change, energy, mining, soil and water contamination, food production and livelihoods.
The postdoctoral fellow will join a cohort that functions as a central research skills hub, supporting and elevating the sustainability-related research efforts of faculty and students across Notre Dame. The fellows will help advance impactful, solution-oriented sustainability research that engages ecological, social, economic, and ethical dimensions in an integrated manner.
The postdoctoral fellow will assume the following key responsibilities:
This search is conducted with leadership from Notre Dame's Just Transformations to Sustainability Initiative and Data, AI, and Computing Initiative, both significant investments from the Provost's Office. The Just Transformations to Sustainability Initiative is Notre Dame's University-wide effort to build a sustainable future where people and nature flourish together. The Data, AI, and Computing Initiative's core aim is to advance purposeful data, AI, and computing - excelling in foundational research while catalyzing interdisciplinary collaboration and real-world translation to address pressing societal challenges.
This is a full-time position available with an initial appointment of one-year, renewable for an additional year on the basis of satisfactory performance and availability of funding.
Qualifications
Required Qualifcations:
Application Instructions
Interested candidates must submit a CV, cover letter, and a recent publication or dissertation chapter. Candidates should be prepared to share references upon request.
The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI). This fellow will join a dynamic, interdisciplinary team working at the intersection of data innovation and sustainability science, aligned with the values and principles of integral ecology.
The research fellow will contribute to a new research project that is creating a Pan-Amazon Evidence and Action Hub for socio-economic and ecological flourishing. The hub will systematically synthesize and harmonize remote sensing, survey, census, and citizen science data to support analyses of issues for action in partnership with local communities and Indigenous Peoples in the Amazon region. Fellows will integrate and harmonize fragmented data from diverse sources into a coherent, usable form to support novel analyses that advance key sustainability goals. The work of the Hub will generate findings to support the design and adoption of interventions that respond to changing needs of the region and its people around climate change, energy, mining, soil and water contamination, food production and livelihoods.
The postdoctoral fellow will join a cohort that functions as a central research skills hub, supporting and elevating the sustainability-related research efforts of faculty and students across Notre Dame. The fellows will help advance impactful, solution-oriented sustainability research that engages ecological, social, economic, and ethical dimensions in an integrated manner.
The postdoctoral fellow will assume the following key responsibilities:
- Collaborate with faculty to design, implement, and support sustainability-related research projects requiring advanced data analytics.
- Develop and maintain a centralized platform for the Pan-Amazon Evidence and Action Hub that hosts diverse and harmonized sustainability-related datasets, including environmental, socioeconomic, cultural, and geospatial data.
- Design and implement reproducible pipelines that ingest, clean, and harmonize fragmented data from remote sensing, survey, census, administrative, and citizen science sources into coherent, analysis-ready datasets with documented lineage and quality metrics.
- Build tools and interfaces (APIs, catalogs, dashboards, or reproducible workflows) that make Hub data discoverable and usable by faculty, students, and partner organizations with varying technical capacity.
- Explore applications of AI methods, including large language models and natural language processing, for extracting structured information from unstructured sources(e.g. reports, policy documents, gray literature, or citizen science observations),
- Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable insights.
- Co-author and support high-impact, interdisciplinary research publications in leading sustainability and environmental science journals.
- Engage in collaborative grant writing and proposal development to sustain and expand the cohort's research initiatives.
This search is conducted with leadership from Notre Dame's Just Transformations to Sustainability Initiative and Data, AI, and Computing Initiative, both significant investments from the Provost's Office. The Just Transformations to Sustainability Initiative is Notre Dame's University-wide effort to build a sustainable future where people and nature flourish together. The Data, AI, and Computing Initiative's core aim is to advance purposeful data, AI, and computing - excelling in foundational research while catalyzing interdisciplinary collaboration and real-world translation to address pressing societal challenges.
This is a full-time position available with an initial appointment of one-year, renewable for an additional year on the basis of satisfactory performance and availability of funding.
Qualifications
Required Qualifcations:
- Ph.D. (in hand by the starting date) in Data Science, Computer Science, Statistics, Geography, Environmental Science, or a related field with a strong computational focus. Applicants with interdisciplinary degrees are welcome.
- Strong data engineering skills in Python and/or R, preferably in building reusable data pipelines rather than one-off analysis scripts.
- Demonstrated experience harmonizing heterogeneous data sources: reconciling inconsistent schemas, units, geographies, and vintages across datasets such as remote sensing products, surveys, censuses, and administrative records, and documenting those decisions in a reproducible way.
- Expertise in geospatial data, including working across raster and vector formats, coordinate reference systems, and spatial aggregation or interpolation across mismatched administrative and ecological units.
- An interest or experience in using machine learning or AI tools with environmental or socioeconomic data
- Excellent communication skills and the ability to translate technical infrastructure decisions for collaborators from a wide range of disciplines.
Application Instructions
Interested candidates must submit a CV, cover letter, and a recent publication or dissertation chapter. Candidates should be prepared to share references upon request.
What University Of Notre Dame employees say
Pay
Benefits
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About University of Notre Dame
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Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Notre Dame, IN, US
Year founded
1842