Big Data, AI, machine learning, geospatial modeling) to public health and environmental data. * Experience working on interdisciplinary and community-engaged research teams. Application Instructions ...
Big Data, AI, machine learning, geospatial modeling) to public health and environmental data. * Experience working on interdisciplinary and community-engaged research teams. Application Instructions ...
ASSISTANT/ASSOCIATE PROFESSOR OCCUPATIONAL AND ENVIRONMENTAL HEALTH
Oklahoma City, OK · On-site
$75 - $100/hr
Big Data, AI, machine learning, geospatial modeling) to public health and environmental data. * Experience working on interdisciplinary or community-engaged research Application Instructions
ASSISTANT/ASSOCIATE PROFESSOR OCCUPATIONAL AND ENVIRONMENTAL HEALTH
Oklahoma City, OK · On-site
$75 - $100/hr
Big Data, AI, machine learning, geospatial modeling) to public health and environmental data. * Experience working on interdisciplinary or community-engaged research Application Instructions
$13 - $17.50/hr
Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors ... Experience working with aerial or satellite imagery and geospatial data. Employment Type: INTERN
$13 - $17.50/hr
Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors ... Experience working with aerial or satellite imagery and geospatial data. Employment Type: INTERN
Sr. Data Engineer
Oklahoma City, OK · On-site
$50 - $70/hr
Experience with GIS or geospatial data. * Utility, energy, infrastructure, engineering, or other ... Familiarity with AI platforms, machine learning, predictive analytics, or intelligent automation.
Sr. Data Engineer
Oklahoma City, OK · On-site
$50 - $70/hr
Experience with GIS or geospatial data. * Utility, energy, infrastructure, engineering, or other ... Familiarity with AI platforms, machine learning, predictive analytics, or intelligent automation.
Machine Learning Geospatial information
What does a Machine Learning Geospatial professional do?
A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.
What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?
To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?
Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.
What is the difference between Machine Learning Geospatial vs GIS Analyst?
| Aspect | Machine Learning Geospatial | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial data | Bachelor's in Geography, GIS, or related fields; proficiency in GIS software |
| Work Environment | Tech companies, data science teams, research institutions | Government agencies, urban planning, environmental firms |
| Industry Usage | Data-driven geospatial analysis, predictive modeling, AI applications | Mapping, spatial data management, spatial analysis |
Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.
What are popular job titles related to Machine Learning Geospatial jobs in Oklahoma?
For Machine Learning Geospatial jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Oklahoma look for?
The top searched job categories for Machine Learning Geospatial jobs in Oklahoma are:
Assistant/Associate - Professor
Oklahoma City, OK • On-site
Full-time
Re-posted 29 days ago
University Of Oklahoma rating
8.1
Based on 68 frontline employees who took The Breakroom Quiz
167th of 621 rated colleges and universities
Job description
Description
Direct Supervisor: Department Chair, Department of Occupational and Environmental Health
FTE: 100%
Appointment Type: Tenure Track
Title/Rank: Assistant Professor/Associate Professor
Primary Location: University of Oklahoma Health Sciences Center in Oklahoma City, Oklahoma
The Department of Occupational and Environmental Health at the Hudson College of Public Health, University of Oklahoma Health Campus, invites applications for a full-time, tenure-track faculty position at the rank of Assistant or Associate Professor in the discipline of Environmental or Occupational Epidemiology. We are seeking an outstanding candidate whose work integrates emerging analytic techniques to address one or more of thefollowing focus areas:
The ideal candidate meets the required qualifications as an Assistant or Associate Professor and has a documented track record of extramurally funded research. They will contribute to the continued growth and excellence of the department and the university, supporting the University of Oklahoma's strategic plan to lead as a top-tier public research university and to meet AAU-level benchmarks for research, teaching, and service. This individual will contribute to expanding the program across the state with a strong commitment to student-centered values and respect for the student experience.
Primary Responsibilities
Qualifications
Required Qualifications
Preferences (Not Required)
Application Instructions
Applicants are required to provide a CV and cover letter, and three professional references with contact information.
Direct Supervisor: Department Chair, Department of Occupational and Environmental Health
FTE: 100%
Appointment Type: Tenure Track
Title/Rank: Assistant Professor/Associate Professor
Primary Location: University of Oklahoma Health Sciences Center in Oklahoma City, Oklahoma
The Department of Occupational and Environmental Health at the Hudson College of Public Health, University of Oklahoma Health Campus, invites applications for a full-time, tenure-track faculty position at the rank of Assistant or Associate Professor in the discipline of Environmental or Occupational Epidemiology. We are seeking an outstanding candidate whose work integrates emerging analytic techniques to address one or more of thefollowing focus areas:
- Environmental exposures linked to cancer outcomes,
- Military and defense-related environmental exposures,
- Environmental health concerns of Native American populations and tribes,
- Children's environmental health, and/or
- Water, food, and air quality impacts on population health.
The ideal candidate meets the required qualifications as an Assistant or Associate Professor and has a documented track record of extramurally funded research. They will contribute to the continued growth and excellence of the department and the university, supporting the University of Oklahoma's strategic plan to lead as a top-tier public research university and to meet AAU-level benchmarks for research, teaching, and service. This individual will contribute to expanding the program across the state with a strong commitment to student-centered values and respect for the student experience.
Primary Responsibilities
- Assist in the direction, organization, and evaluation process of the education, research, and service activities of the department.
- Teach graduate courses.
- Serve on and chair masters and doctoral committees.
- Develop and sustain an active portfolio of extramurally funded research.
- Conduct research and disseminate findings to the academic, professional, and local communities.
- Other duties as assigned by the Department Chair and/or other appropriate University authority.
Qualifications
Required Qualifications
- Doctoral degree (Doctor of Philosophy, Doctor of Science, or Doctor of Public Health) in environmental health, industrial hygiene, environmental science, environmental engineering or a closely related field.
- Record of publications in peer-reviewed national or international scholarly journals.
- Evidence of potential to obtain extramural funding.
- For the rank of Associate Professor, a history of external research funding.
Preferences (Not Required)
- Established record of teaching at the graduate level
- A record of mentoring graduate students and/or postdocs.
- Experience in applying emerging analytical techniques (e.g. Big Data, AI, machine learning, geospatial modeling) to public health and environmental data.
- Experience working on interdisciplinary and community-engaged research teams.
Application Instructions
Applicants are required to provide a CV and cover letter, and three professional references with contact information.
What University Of Oklahoma employees say
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About University of Oklahoma
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The University of Oklahoma is a prominent educational institution positioned in Norman, Oklahoma, US. Established in 1890, the university stakes a claim within the higher education industry and has a storied history of excellence in academics and research. Serving over 20,000 students, the university offers a wide range of programs across fields such as arts and sciences, business, engineering, international studies, and more. Emphasizing a dedication to unlocking potential, OU's mission is to provide the best possible educational experience to students through excellence in teaching, research, and creative activity. Notably, the institution has made significant strides in research with a focus on areas such as cancer, aerospace, and energy among others.
Industry
Education
Company size
5,001 - 10,000 Employees
Headquarters location
Norman, OK, US
Year founded
1890