PhD Positions in Examining Biodiversity, Ecosystem Service, Cultural, and Economic Benefits and Tradeoffs Across Forest Adaptation Approaches at the University of Vermont
Project: Relatively little is known about best adaptation strategies for addressing climate change impacts on forests in ways that balance key ecosystem services like carbon storage with other desired outcomes, including sustaining biodiversity and cultural and economic values. To address this knowledge gap, The University of Vermont (Rubenstein School of Environment and Natural Resources) seeks two PhD-level graduate students to participate in a research project focused on evaluating the biodiversity, ecosystem service, cultural, and economic benefits and tradeoffs across forest adaptation approaches in northern New England.
The PhD students will work closely together and will join a team of collaborators from the University of Vermont and Northern Institute of Applied Climate Science and an extensive group of partners from Tribal, State, and Federal agencies and non-profit organizations.
One student will focus on understanding the biodiversity, carbon, and resilience outcomes of forest adaptation strategies. The other will focus on understanding how cultural, economic, and public values are affected by different adaptation approaches. A primary goal is to synthesize the actionable science needed to develop best adaptation practices and sound policies that sustain services, values, and species for diverse partners across the region.
These positions are available for Summer 2025 and include four guaranteed years of funding (stipend, tuition waiver, and health insurance).
Application: Interested applicants should supply all application materials to the UVM Rubenstein School of Environment and Natural Resources (RSENR) Program (PhD in Natural Resources) by February 1, 2025 – when applying, please state your interest in this position in the "Statement of Purpose.“
Contact:
Dr. Anthony D’Amato (awdamato@uvm.edu, 802-656-8030)
Dr. Rachelle Gould (rgould@uvm.edu)
Dr. Carol Adair (carol.adair@uvm.edu)
Dr. Brendan Fisher (bfisher@uvm.edu)
Project: Relatively little is known about best adaptation strategies for addressing climate change impacts on forests in ways that balance key ecosystem services like carbon storage with other desired outcomes, including sustaining biodiversity and cultural and economic values. To address this knowledge gap, The University of Vermont (Rubenstein School of Environment and Natural Resources) seeks two PhD-level graduate students to participate in a research project focused on evaluating the biodiversity, ecosystem service, cultural, and economic benefits and tradeoffs across forest adaptation approaches in northern New England.
The PhD students will work closely together and will join a team of collaborators from the University of Vermont and Northern Institute of Applied Climate Science and an extensive group of partners from Tribal, State, and Federal agencies and non-profit organizations.
One student will focus on understanding the biodiversity, carbon, and resilience outcomes of forest adaptation strategies. The other will focus on understanding how cultural, economic, and public values are affected by different adaptation approaches. A primary goal is to synthesize the actionable science needed to develop best adaptation practices and sound policies that sustain services, values, and species for diverse partners across the region.
These positions are available for Summer 2025 and include four guaranteed years of funding (stipend, tuition waiver, and health insurance).
Application: Interested applicants should supply all application materials to the UVM Rubenstein School of Environment and Natural Resources (RSENR) Program (PhD in Natural Resources) by February 1, 2025 – when applying, please state your interest in this position in the "Statement of Purpose.“
Contact:
Dr. Anthony D’Amato (awdamato@uvm.edu, 802-656-8030)
Dr. Rachelle Gould (rgould@uvm.edu)
Dr. Carol Adair (carol.adair@uvm.edu)
Dr. Brendan Fisher (bfisher@uvm.edu)
A fully funded PhD position in Using Experimental Data and Machine Learning to Benchmark Hydrological Models (Luxembourg Institute of Science and Technology, Luxembourg): https://lnkd.in/ehjjgUiS
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https://www.academics.de/jobs/doctoral-researchers-m-f-d-research-training-group-urban-future-making-professional-agency-across-time-and-scale-hafencity-universitaet-hamburg-hcu-hamburg-1091951#SPCoRURwQVBsRlZlWUVJLCw=
Doctoral researchers (m/f/d) - Research training group "Urban future-making: Professional agency across time and scale"
Doctoral researchers (m/f/d) - Research training group "Urban future-making: Professional agency across time and scale"
Postdoctoral Fellowship opportunities at NSF NCAR - The National Center for Atmospheric Research - Check out https://lnkd.in/gncK5wNv - The application deadline is 31 October 2024 - Don't miss it, it's earlier than in past years - We are looking for talented and innovative researchers in atmospheric and related sciences!
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Mechanical/Civil/Environmental Engineering, University of Guelph , Canada 🇨🇦
Positions Start Date: Winter 2025 or Summer 2025
Positions Start Date: Winter 2025 or Summer 2025
PhD Position Available in AI, Robotics, and Neurophysiological Signals
I am seeking a highly motivated PhD student to work under my supervision in the Michael W. Hall School of Mechanical Engineering, Mississippi State University, on an interdisciplinary project at the intersection of robotics, AI, machine learning, and neurophysiological data analysis. The successful candidate will contribute to advancing human-robot interaction in key sectors such as manufacturing and healthcare.
🔍 Research Focus:
💠Robotics: Designing and optimizing robotic systems for enhanced human interaction.
💠AI & Machine Learning: Applying reinforcement learning and AI techniques to improve robotic adaptability and intelligence.
💠Neurophysiological Data: Analyzing brain and body signals to enhance robotic response and interaction.
🎯 Qualifications:
💠 Strong background in robotics, AI, machine learning, or related fields.
💠Experience with reinforcement learning, control systems, or sensor technologies is highly desirable.
💠Proficiency in Python, C++, or MATLAB, and familiarity with robotic frameworks like ROS.
💠Passionate about innovation, hardworking, and collaborative.
💼 How to Apply: Please send your CV, a brief statement of research interests, and contact information for two references to skorivand@me.msstate.edu.
I am seeking a highly motivated PhD student to work under my supervision in the Michael W. Hall School of Mechanical Engineering, Mississippi State University, on an interdisciplinary project at the intersection of robotics, AI, machine learning, and neurophysiological data analysis. The successful candidate will contribute to advancing human-robot interaction in key sectors such as manufacturing and healthcare.
🔍 Research Focus:
💠Robotics: Designing and optimizing robotic systems for enhanced human interaction.
💠AI & Machine Learning: Applying reinforcement learning and AI techniques to improve robotic adaptability and intelligence.
💠Neurophysiological Data: Analyzing brain and body signals to enhance robotic response and interaction.
🎯 Qualifications:
💠 Strong background in robotics, AI, machine learning, or related fields.
💠Experience with reinforcement learning, control systems, or sensor technologies is highly desirable.
💠Proficiency in Python, C++, or MATLAB, and familiarity with robotic frameworks like ROS.
💠Passionate about innovation, hardworking, and collaborative.
💼 How to Apply: Please send your CV, a brief statement of research interests, and contact information for two references to skorivand@me.msstate.edu.
I am looking for a postdoc to work on water treatment by CO2 and EOR project.
Job Requirements
- A Ph.D. in Chemical Engineering, Petroleum Engineering, or Chemistry.
- Experience with water treatment, fluid-CO2 reaction
- Candidate should have several publications in the above area.
If you are interested, send your CV, and Ph.D./M.Sc./B.Sc trannoscripts to ahmed.yaseri@kfupm.edu.sa
Job Requirements
- A Ph.D. in Chemical Engineering, Petroleum Engineering, or Chemistry.
- Experience with water treatment, fluid-CO2 reaction
- Candidate should have several publications in the above area.
If you are interested, send your CV, and Ph.D./M.Sc./B.Sc trannoscripts to ahmed.yaseri@kfupm.edu.sa
Postdoc and PhD Positions available in the Jia Group at the Rutgers University - Newark
Job Denoscription
Dr. Shang Jia is seeking a postdoc (position available now) and several PhD students (starting in Spring or Fall
2025). Research projects include but are not limited to
• NIR/NIR-II fluorophore development for sensing and imaging in cells and animals;
• Organic mass tags for use in chemoproteomics;
• Engineered nanomaterials for bio-related applications.
Job Denoscription
Dr. Shang Jia is seeking a postdoc (position available now) and several PhD students (starting in Spring or Fall
2025). Research projects include but are not limited to
• NIR/NIR-II fluorophore development for sensing and imaging in cells and animals;
• Organic mass tags for use in chemoproteomics;
• Engineered nanomaterials for bio-related applications.
I am hashtag#hiring two fully-funded hashtag#PhDStudents to join my research program in the Department of Agricultural and Biological Engineering at hashtag#MississippiStateUniversity (hashtag#MSU). Our lab will focus on deep learning, control, and sensing technologies, with cutting-edge applications in precision agriculture and robotics.
The selected PhD candidates will have the chance to work on multiple innovative projects, expanding their research experience and boosting their academic productivity.
If you're interested or know someone who might be, feel free to reach out to me at chendon9@msu.edu for more details.
The selected PhD candidates will have the chance to work on multiple innovative projects, expanding their research experience and boosting their academic productivity.
If you're interested or know someone who might be, feel free to reach out to me at chendon9@msu.edu for more details.
A PhD student at the University of Silesia in Poland
Topic:
Enhancing paleoseismological record through multi-methods cave deformation analysis tested in diverse Hellenides tectonic regimes
See the link for more information. https://irk2.us.edu.pl/en-gb/offer/MSSD-GRANT-2024/programme/21-S3MSSD-IEDS2024USB/?from=registration:MSSD-GRANT-2024
Topic:
Enhancing paleoseismological record through multi-methods cave deformation analysis tested in diverse Hellenides tectonic regimes
See the link for more information. https://irk2.us.edu.pl/en-gb/offer/MSSD-GRANT-2024/programme/21-S3MSSD-IEDS2024USB/?from=registration:MSSD-GRANT-2024
irk2.us.edu.pl
IEDS: Enhancing paleoseismological record through multi-methods cave deformation analysis tested in diverse Hellenides tectonic…
University of Silesia in Katowice
Are you looking for an exciting postdoc position?
CzechGlobe has a position in Advanced methods of greenhouse gases emission reduction and sequestration in agriculture and forest landscape for climate change mitigation.
This is with a really exciting project and a great group of researchers
https://lnkd.in/ddM6Zu8A
CzechGlobe has a position in Advanced methods of greenhouse gases emission reduction and sequestration in agriculture and forest landscape for climate change mitigation.
This is with a really exciting project and a great group of researchers
https://lnkd.in/ddM6Zu8A
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LinkedIn
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Three-year postdoc position in environmental analytical chemistry (Geological Survey of Denmark and Greenland, Denmark)(deadline: 25/09/2024): https://lnkd.in/ethPY4G3
Good luck!
Good luck!
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LinkedIn
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📢 On behalf of Jun.-Prof. Dr. Jana Zscheischler (University of Vechta), I'm sharing an exciting opportunity for eight PhD scholarships (funded via Hans-Böckler-Stiftung) and one postdoc position at VISTRA (Vechta Institute of Sustainability Transformation in Rural Areas) at the University of Vechta. (Please note: Good German and English language proficiency are required.)
The doctoral college "Justice dimensions of sustainability-oriented transformation processes in rural areas" offers excellent qualification conditions for a career in academia and works closely with an international and national network of proven partners in hashtag#sustainability-oriented hashtag#transformation research (including Leuphana University of Lüneburg, Copernicus Institute of Sustainable Development, Utrecht University, BC3 - Basque Centre for Climate Change, Leibniz Centre for Agricultural Landscape Research (ZALF), University of Vermont).
Please share / forward the call for applications (attached) to potentially interested candidates. More information the website https://lnkd.in/eHZfR3bE (English version coming soon).
The doctoral college "Justice dimensions of sustainability-oriented transformation processes in rural areas" offers excellent qualification conditions for a career in academia and works closely with an international and national network of proven partners in hashtag#sustainability-oriented hashtag#transformation research (including Leuphana University of Lüneburg, Copernicus Institute of Sustainable Development, Utrecht University, BC3 - Basque Centre for Climate Change, Leibniz Centre for Agricultural Landscape Research (ZALF), University of Vermont).
Please share / forward the call for applications (attached) to potentially interested candidates. More information the website https://lnkd.in/eHZfR3bE (English version coming soon).
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🚀 MASc and PhD opportunities in January 2025! 🚀
I'm looking for passionate MASc and PhD students to join my research team at the University of Calgary starting in January 2025. If you're interested in AI, machine learning, and remote sensing technologies and want to apply these skills to tackle environmental challenges, this could be a great fit for you!
🔬 Key Research Areas Include:
1. Big Geospatial Data Science & AI Analytics
2. Sensor Integration (Hyperspectral, Multispectral, LiDAR, SAR)
3. Pan-Arctic Ocean & Northern Land Environment Mapping
4. 3D Urban Environment Modeling & Digital Twins (NeRF, Gaussian Splatting)
As part of my team, you’ll work on innovative projects to develop cutting-edge AI solutions for environmental monitoring, resource exploration, and climate change studies.
About me: I am an interdisciplinary researcher with expertise in AI, machine learning, remote sensing, and spatial data science. With over 75 journal papers published and many competitive grants secured, I’m excited to welcome motivated students to collaborate on our groundbreaking work.
📩 Interested or know someone who might be? Please send me your CV, trannoscripts and a brief statement of interest to me at linlin.xu@ucalgary.ca.
I'm looking for passionate MASc and PhD students to join my research team at the University of Calgary starting in January 2025. If you're interested in AI, machine learning, and remote sensing technologies and want to apply these skills to tackle environmental challenges, this could be a great fit for you!
🔬 Key Research Areas Include:
1. Big Geospatial Data Science & AI Analytics
2. Sensor Integration (Hyperspectral, Multispectral, LiDAR, SAR)
3. Pan-Arctic Ocean & Northern Land Environment Mapping
4. 3D Urban Environment Modeling & Digital Twins (NeRF, Gaussian Splatting)
As part of my team, you’ll work on innovative projects to develop cutting-edge AI solutions for environmental monitoring, resource exploration, and climate change studies.
About me: I am an interdisciplinary researcher with expertise in AI, machine learning, remote sensing, and spatial data science. With over 75 journal papers published and many competitive grants secured, I’m excited to welcome motivated students to collaborate on our groundbreaking work.
📩 Interested or know someone who might be? Please send me your CV, trannoscripts and a brief statement of interest to me at linlin.xu@ucalgary.ca.