Two PhD positions are available with Dr. Tao Liu at Michigan Technological University. The student will use machine learning\deep learning methods with remote sensing data to solve problems relevant to climate change. Specifically, the student will choose one of the following three areas:
1. Phenotyping Individual Trees with Drone and Handheld Remote Sensing Systems:
✅Utilize LiDAR data to precisely map the individual trees in natural forests.
✅ Employ LiDAR data for detailed analysis of morphological traits at the individual tree level, including measurements of height, stem form, diameter at breast height (DBH), and leaf characteristics such as leaf area index (LAI), leaf area density (LAD), color, distribution, and angle, along with canopy features like volume, coverage, structure, and phenological aspects (e.g., flowering periods, leaf coloration timing, leaf expansion, and leaf fall).
✅ Process optical remote sensing data to assess biochemical traits, including chlorophyll and lignin content, and water use efficiency at the individual tree level.
2. Forest Health Mapping and Understanding Mechanisms
✅ Utilize aerial and satellite remote sensing platforms combined with deep learning techniques to conduct large-scale forest health mapping at the national level.
✅ Employ AI technologies for predicting forest health trends.
✅ Investigate the influence of various factors on forest health, particularly the role of climate change, using AI technologies.
3. Wildfire Mapping and Forecasting
✅ Integrate Sentinel and Landsat imagery to identify the ignition points of wildfires accurately.
✅ Use the Pytorch forecasting package, integrating multiple data types, to predict wildfire probabilities.
Qualifications:
✅ U.S. citizens, nationals, and permanent residents
✅ MS or BS degree in environmental science, forestry, geography, computer science, data science, or other related fields.
✅ Programming skills using Python.
✅ Remote sensing research or image processing experience
✅ Strong communication skills, both in terms of formal written reports/manuscripts
and oral presentations.
Funding: The selected candidate will be funded with the NSF Research Traineeship program.
Timing: The start date is Fall 2024. Please send your materials by April 1st, 2024. The position is available immediately and open until filled.
Application Procedure:
Applicants should email Dr. Tao Liu at taoliu@mtu.edu to express their interest in the position. Please include a brief cover letter describing your relevant qualifications and interest in the project
1. Phenotyping Individual Trees with Drone and Handheld Remote Sensing Systems:
✅Utilize LiDAR data to precisely map the individual trees in natural forests.
✅ Employ LiDAR data for detailed analysis of morphological traits at the individual tree level, including measurements of height, stem form, diameter at breast height (DBH), and leaf characteristics such as leaf area index (LAI), leaf area density (LAD), color, distribution, and angle, along with canopy features like volume, coverage, structure, and phenological aspects (e.g., flowering periods, leaf coloration timing, leaf expansion, and leaf fall).
✅ Process optical remote sensing data to assess biochemical traits, including chlorophyll and lignin content, and water use efficiency at the individual tree level.
2. Forest Health Mapping and Understanding Mechanisms
✅ Utilize aerial and satellite remote sensing platforms combined with deep learning techniques to conduct large-scale forest health mapping at the national level.
✅ Employ AI technologies for predicting forest health trends.
✅ Investigate the influence of various factors on forest health, particularly the role of climate change, using AI technologies.
3. Wildfire Mapping and Forecasting
✅ Integrate Sentinel and Landsat imagery to identify the ignition points of wildfires accurately.
✅ Use the Pytorch forecasting package, integrating multiple data types, to predict wildfire probabilities.
Qualifications:
✅ U.S. citizens, nationals, and permanent residents
✅ MS or BS degree in environmental science, forestry, geography, computer science, data science, or other related fields.
✅ Programming skills using Python.
✅ Remote sensing research or image processing experience
✅ Strong communication skills, both in terms of formal written reports/manuscripts
and oral presentations.
Funding: The selected candidate will be funded with the NSF Research Traineeship program.
Timing: The start date is Fall 2024. Please send your materials by April 1st, 2024. The position is available immediately and open until filled.
Application Procedure:
Applicants should email Dr. Tao Liu at taoliu@mtu.edu to express their interest in the position. Please include a brief cover letter describing your relevant qualifications and interest in the project
Funded PhD (and MASc) Position(s) for Fall 2024. Please share. Come research how to build more with less. At the city, national and global scale we are facing challenges around how to build more housing and infrastructure with less total environmental footprint. We are researching from an urban form, building form, structural and material perspective. Some examples here: https://lnkd.in/gxNYf8Zd
Looking for PhD applicants with a background in architecture, engineering, urban planning and or policy/law. Details on how to apply here https://lnkd.in/g2zeguXF.
*list my name in your application under professors of interest to make it easier to find your application*
Tip: focus your research statement on work you want to do rather than general statements about your interests (make it relevant to the CSBE). Google search "NSERC graduate scholarship proposal writing advice" for lots of great information on how to write a strong proposal (even if you don't qualify for NSERC this is just a good source of guidance).
https://www.linkedin.com/feed/update/urn:li:activity:7153104946815483904/
Looking for PhD applicants with a background in architecture, engineering, urban planning and or policy/law. Details on how to apply here https://lnkd.in/g2zeguXF.
*list my name in your application under professors of interest to make it easier to find your application*
Tip: focus your research statement on work you want to do rather than general statements about your interests (make it relevant to the CSBE). Google search "NSERC graduate scholarship proposal writing advice" for lots of great information on how to write a strong proposal (even if you don't qualify for NSERC this is just a good source of guidance).
https://www.linkedin.com/feed/update/urn:li:activity:7153104946815483904/
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
Iran Opportunity Award
Deadline: February 29th, 2024
An award for Iranian women applying for Graduate programs (Master’s/Ph.D., Fall 2025) in the United States with outstanding academic records and low-income backgrounds.
https://myapp.iie.org/portal/ioa
Deadline: February 29th, 2024
An award for Iranian women applying for Graduate programs (Master’s/Ph.D., Fall 2025) in the United States with outstanding academic records and low-income backgrounds.
https://myapp.iie.org/portal/ioa
Check out this job at Delft University of Technology: https://www.linkedin.com/jobs/view/3830210075