... as machine learning and neural networks, computer vision, natural language processing, large ... S. degrees in seven specializations: ecosystem science and management; geospatial data science ...
... as machine learning and neural networks, computer vision, natural language processing, large ... S. degrees in seven specializations: ecosystem science and management; geospatial data science ...
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 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 the key skills and qualifications needed to thrive as a Machine Learning Geospatial specialist, and why are they important?
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 popular job titles related to Machine Learning Geospatial jobs in Michigan? For Machine Learning Geospatial jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Michigan look for? The top searched job categories for Machine Learning Geospatial jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Geospatial jobs? Cities in Michigan with the most Machine Learning Geospatial job openings:
Assistant or Associate Professor position in AI and Sustainable Systems
Ann Arbor, MI • On-site
Full-time
Re-posted 26 days ago
University Of Michigan rating
8.2
Based on 142 frontline employees who took The Breakroom Quiz
122nd of 555 rated colleges and universities
Job description
Description
The School for Environment and Sustainability (SEAS) at the University of Michigan is seeking applicants for a full-time, nine-month, tenure-track faculty member to advance computational methods applied to complex sustainability challenges. These challenges include the growing demand for electricity to power data centers that support AI. The position may be filled at the Assistant or Associate level.This position is part of a two-position cluster hire in Artificial Intelligence for Sustainability, with a second position in Biodiversity and Society: http://apply.interfolio.com/156521
We seek individuals who are using novel, data-driven approaches to sustainability challenges, including but not limited to, big data analytics, quantum computing, digital twins, network science, high-performance and cloud computing, and artificial intelligence (AI) methods such as machine learning and neural networks, computer vision, natural language processing, large language models, or other generative AI. We are looking for research applications relevant to the Sustainable Systems specialization at SEAS. Topics of interest include industrial ecology, life cycle assessment, circular economy, energy systems and the clean energy transition, the environmental and ethical issues of AI, corporate social responsibility, techno-economic analysis, sustainable finance, food/water/energy nexus, green buildings, urban sustainability, resilient and sustainable infrastructure, risk assessment, sustainable mobility, and sustainable supply chains.
Qualifications
A Ph.D. is required in engineering, physical, data or computer sciences, or another field that uses computationally-driven quantitative methods and analytical approaches to address sustainability challenges. Candidates must have a strong record of scholarly publication, evidence of teaching potential in a multidisciplinary setting, as well as activities demonstrating a potential for and/or trajectory towards national and international recognition. Importantly, we are seeking candidates who have an interest in using their research to help solve real-world sustainability challenges.
SEAS's mission is to contribute to the protection of the Earth's resources and the achievement of a sustainable and just society. The School contributes new scientific knowledge, visionary leadership, and trained professionals toward that end. The faculty of the School is diverse, with natural scientists, social scientists, engineers, and designers working collaboratively in an integrative setting. A professional school set within a major research university, SEAS provides a model of interdisciplinary and applied research and a focal point of research, teaching and societal engagement on sustainability. The School focuses on key cross-cutting sustainability themes, including climate and energy; water; food, land use, and agriculture; conservation and restoration; and cities, the built environment, and mobility. There are many opportunities for research collaborations through institutes such as the Michigan Institute for Data and AI in Society (MIDAS), Erb Institute for Global Sustainable Enterprise, and the Graham Environmental Sustainability Institute. Successful applicants will become a core faculty member at the Center for Sustainable Systems.
The School offers a Ph.D. as well as both research and professional M.S. degrees in seven specializations: ecosystem science and management; geospatial data science; sustainable systems; environmental policy and planning; behavior, education and communication; environmental justice; and sustainable development. The School also offers a Master's degree in Landscape Architecture (M.L.A.). The student body includes over 500 M.S./M.L.A. and 60 doctoral students. SEAS also co-manages an undergraduate Program in the Environment and participates in dual master degree programs with the Schools of Architecture and Urban Planning, Business, Engineering, Law, Public Health, and Public Policy. Additional information about the School can be found at www.seas.umich.edu.
Priority will be given to applicants whose research programs complement or align with one or more current research strengths and have the interest and ability to collaborate. We will give preference to candidates with a demonstrated commitment to improving the diversity of our profession and centering justice and equity through the substance of their research and teaching.
The successful candidate will be expected to:
The position will be filled at the assistant professor (tenure-track) or associate professor (tenured) level, beginning Fall 2025.
Application Instructions
Applications should include (1) a cover letter; (2) CV; (3) a concise personal statement describing your vision and plans for research and teaching; (4) a one-page statement that showcases a demonstrated commitment on how the candidate contributes to diversity efforts, and (5) a list of three names of academic references with contact information.
Employment will require both a criminal background check and an institutional reference check
regarding any misconduct. Candidates will be required to submit a self-disclosure form as well as
an authorization to release information form.
To apply, submit application materials in Interfolio, via this link: http://apply.interfolio.com/156525
Review of applications will begin on December 1, 2024 and continue until the position is filled.
At SEAS we are committed to creating and maintaining an inclusive and equitable environment that respects diverse experiences, promotes generous listening and communications, and discourages and restoratively responds to acts of discrimination, harassment, or injustice. Our commitment to diversity, equity and inclusion is deeply rooted in our values for a sustainable and just society.
The University of Michigan is an Equal Opportunity/Affirmative Action employer.
The School for Environment and Sustainability (SEAS) at the University of Michigan is seeking applicants for a full-time, nine-month, tenure-track faculty member to advance computational methods applied to complex sustainability challenges. These challenges include the growing demand for electricity to power data centers that support AI. The position may be filled at the Assistant or Associate level.This position is part of a two-position cluster hire in Artificial Intelligence for Sustainability, with a second position in Biodiversity and Society: http://apply.interfolio.com/156521
We seek individuals who are using novel, data-driven approaches to sustainability challenges, including but not limited to, big data analytics, quantum computing, digital twins, network science, high-performance and cloud computing, and artificial intelligence (AI) methods such as machine learning and neural networks, computer vision, natural language processing, large language models, or other generative AI. We are looking for research applications relevant to the Sustainable Systems specialization at SEAS. Topics of interest include industrial ecology, life cycle assessment, circular economy, energy systems and the clean energy transition, the environmental and ethical issues of AI, corporate social responsibility, techno-economic analysis, sustainable finance, food/water/energy nexus, green buildings, urban sustainability, resilient and sustainable infrastructure, risk assessment, sustainable mobility, and sustainable supply chains.
Qualifications
A Ph.D. is required in engineering, physical, data or computer sciences, or another field that uses computationally-driven quantitative methods and analytical approaches to address sustainability challenges. Candidates must have a strong record of scholarly publication, evidence of teaching potential in a multidisciplinary setting, as well as activities demonstrating a potential for and/or trajectory towards national and international recognition. Importantly, we are seeking candidates who have an interest in using their research to help solve real-world sustainability challenges.
SEAS's mission is to contribute to the protection of the Earth's resources and the achievement of a sustainable and just society. The School contributes new scientific knowledge, visionary leadership, and trained professionals toward that end. The faculty of the School is diverse, with natural scientists, social scientists, engineers, and designers working collaboratively in an integrative setting. A professional school set within a major research university, SEAS provides a model of interdisciplinary and applied research and a focal point of research, teaching and societal engagement on sustainability. The School focuses on key cross-cutting sustainability themes, including climate and energy; water; food, land use, and agriculture; conservation and restoration; and cities, the built environment, and mobility. There are many opportunities for research collaborations through institutes such as the Michigan Institute for Data and AI in Society (MIDAS), Erb Institute for Global Sustainable Enterprise, and the Graham Environmental Sustainability Institute. Successful applicants will become a core faculty member at the Center for Sustainable Systems.
The School offers a Ph.D. as well as both research and professional M.S. degrees in seven specializations: ecosystem science and management; geospatial data science; sustainable systems; environmental policy and planning; behavior, education and communication; environmental justice; and sustainable development. The School also offers a Master's degree in Landscape Architecture (M.L.A.). The student body includes over 500 M.S./M.L.A. and 60 doctoral students. SEAS also co-manages an undergraduate Program in the Environment and participates in dual master degree programs with the Schools of Architecture and Urban Planning, Business, Engineering, Law, Public Health, and Public Policy. Additional information about the School can be found at www.seas.umich.edu.
Priority will be given to applicants whose research programs complement or align with one or more current research strengths and have the interest and ability to collaborate. We will give preference to candidates with a demonstrated commitment to improving the diversity of our profession and centering justice and equity through the substance of their research and teaching.
The successful candidate will be expected to:
- Develop a widely recognized research program that attracts external funding and contributes to the interdisciplinary mission of the School;
- Support SEAS's teaching mission at both graduate and undergraduate levels, including mentoring and supervising doctoral and master's students;
- Contribute to the stewardship of SEAS, the University, relevant professions and society through service, collaboration and engagement.
The position will be filled at the assistant professor (tenure-track) or associate professor (tenured) level, beginning Fall 2025.
Application Instructions
Applications should include (1) a cover letter; (2) CV; (3) a concise personal statement describing your vision and plans for research and teaching; (4) a one-page statement that showcases a demonstrated commitment on how the candidate contributes to diversity efforts, and (5) a list of three names of academic references with contact information.
Employment will require both a criminal background check and an institutional reference check
regarding any misconduct. Candidates will be required to submit a self-disclosure form as well as
an authorization to release information form.
To apply, submit application materials in Interfolio, via this link: http://apply.interfolio.com/156525
Review of applications will begin on December 1, 2024 and continue until the position is filled.
At SEAS we are committed to creating and maintaining an inclusive and equitable environment that respects diverse experiences, promotes generous listening and communications, and discourages and restoratively responds to acts of discrimination, harassment, or injustice. Our commitment to diversity, equity and inclusion is deeply rooted in our values for a sustainable and just society.
The University of Michigan is an Equal Opportunity/Affirmative Action employer.
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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Ann Arbor, MI, US
Year founded
1817