Two (2) Ph.D. Positions in Remote Sensing of Vegetation at the University of Wisconsin-Madison 🛰️ Position 1 is focused on imaging of forest biochemistry using combined field data, airborne hyperspectral imagery (from airplanes and drones) linked to spaceborne data. We want to understand how forest communities (with a particular focus on aspens) respond to environmental drivers, including pests and pathogens. This position is available to start Fall Semester, 2025, with opportunities for summer 2025 fieldwork also available. Research assistant support is available for up to four years through USDA funding. 🛰️ Position 2 is focused on using hyperspectral data to detect and map exposure of vegetation to chemicals and pathogens. We have long known that hyperspectral data are capable of measuring and mapping a large number of foliar traits, and that these foliage properties can be used to infer plant stress, often before visual symptoms are apparent. This position is aimed towards both testing methods and better understanding the capacities of hyperspectral remote sensing for monitoring and mapping of vegetation stress. Position is available to start with the Fall Semester 2025, although opportunities for an earlier start are also available. Research assistant support is available for a minimum of four years through funding by DOE to build cross-cutting technologies for environmental monitoring. This position offers opportunities to develop collaborations with environmental scientists at DOE National Labs that will open opportunities for future research, employment and internships. See attached for details. Please share with your connections! #remote #sensing #phds #hyperspectral #vegetation
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PhD Candidate Fawz Naim advised by Dr. Ann Cook spent his summer on internship. When asked about his research, Fawz said: "I worked with Advanced Resources International in the Columbus office this summer as a Geoscience Intern. I am working to support the team in carbon capture and storage site assessment and detailed modeling studies. My work involves many things including data exploration, extracting meaningful data that can be used in Petrophysical analysis, and Static Earth Modeling. I am also assisting the team with interpreting well logs, and cores and developing porosity, permeability transforms from the existing data. I have solved some bottleneck issues by automating the well data preprocessing and filtering by creating an application that eases the workflow to import the data directly into software such as Petrel and Kingdom. In addition, I used machine learning to predict well logs to help with CCUS site assessment. Summing up everything, data reformatting, preprocessing, and statistical analysis along with subsurface interpretation for CCUS projects is what I have been doing this summer." Wishing Fawz all the best for fall semester and in his research endeavors as a scientist! #scienceisthefuture #SES #theearthisourclassroom #research
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I'm happy to share that I've recently completed an enriching internship at the National Atmospheric Research Laboratory. Over the past few months, I've had the privilege to explore the Direction-of-Arrival (DOA) Estimation for Lightning Signals using Interferometry. While at NARL, I've worked on the complexities of signal processing and atmospheric sciences. Focusing on lightning signals has broadened my understanding of this natural phenomenon and equipped me with invaluable data analysis and interpretation skills. One of the most rewarding aspects of my internship was the meeting people with challenging research projects within atmospheric sciences. Each project presented unique challenges and learning opportunities, from studying the Martian ionosphere to investigating cloud bursts. Meeting passionate researchers has expanded my knowledge base and fueled my curiosity to explore further in this dynamic field. I'm incredibly grateful for the hands-on experience and mentorship I received at NARL. It has been a journey of growth and discovery, allowing me to apply theoretical knowledge to real-world scenarios and develop practical solutions. Reflecting on my internship experience, I'm filled with a sense of accomplishment and excitement for the future. I look forward to apply the skills and insights gained at NARL to contribute meaningfully to the field of atmospheric sciences and related fields. I'm eager to connect with fellow professionals who share a passion for research and innovation in atmospheric phenomena and Signal Processing. #AtmosphericSciences #InternshipExperience #SignalProcessing #Research #Lightning #ProfessionalDevelopment
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Dive into the depths where science meets sustainability. Oceanography is no longer a singular discipline but a fusion of chemistry, physics, and biology tackling global challenges like rising sea levels and marine pollution. At leading institutions like the School of Environmental Sciences at the University of Liverpool, students don’t just learn about the ocean — they engage with it, collecting vital data on oxygen levels, salinity, and nutrients to uncover the seas’ critical role in carbon storage, rivalling that of forests. This interdisciplinary lens reveals oceanography’s vast impact, from cutting-edge research to shaping environmental policies. With immersive fieldwork and real-world internships, students are charting diverse career paths, united by a shared goal: safeguarding the future of our blue planet. Learn more about the next generation shaping our future here 🔗 https://lnkd.in/e5teAnbk 🎤: Chris Jayamanna | Jonathan Sharples | Joanne Hopkins #OceansOfOpportunity #BlueEconomyHeroes #MarineProfessionals #NetZeroOcean #OceanRenewables #ProtectOurOceans #BlueEconomyInnovation #ThrivingBlueEconomy #MaritimeInnovations #SustainableOceanChartering 🎥: Content With Purpose
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I am thrilled to announce that I will be starting an internship this summer with The Institute of Cosmology and Gravitation - University of Portsmouth. I will be working on a cutting-edge project titled "Inferring Causation from Correlation", which sits at the fascinating intersection of statistics, data analysis, and machine learning. The primary goal of this project is to develop methodologies for inferring causal structures from observational data. Despite the potential of these methods, they have yet to see widespread application in science. My work will involve: - Reviewing the existing literature and public implementations of causal inference algorithms. - Applying these algorithms to both real-world and synthetic datasets to evaluate their performance. - Exploring the causal behavior of physical processes in scientific data, with a special focus on astrophysics. While our primary focus will be on astrophysics, the methodologies developed through this research have the potential for broad application across many fields, including finance, healthcare, social sciences, and more. By understanding and optimizing causal inference, we can unlock new insights and drive innovation in diverse areas of study. By the end of the summer, we aim to achieve a comprehensive understanding of the conditions under which causality can be inferred, optimized algorithms for causal inference, and new insights into the causal structures of various phenomena. I'm excited about the opportunity to contribute to this innovative field and look forward to sharing updates on our progress! A massive thanks to SEPnet, Michelle Limbert, Amy Carroll , CCVW and the entire team at Queen Mary Careers and Enterprise for their support during my application process. #internship #cosmology #gravitationalphysics #causality #machinelearning #dataanalysis #astrophysics #research #finance #healthcare #innovation
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I’m delighted to share that a couple of weeks ago NOAA: National Oceanic & Atmospheric Administration approved my internship proposal for summer 2025! Applications for 2026 (not a typo) will be open through January 31st, 2025. My supervisor, Amy MacFadyen, is the primary mentor on the project and is a fantastic supervisor. I highly recommend her mentorship as well as the rest of the oceanography team, who are a wealth of knowledge and experience. I will be a (mostly remote) co-mentor. A goal of this paid internship is to provide an opportunity for scholars from subsistence living communities to develop the skills and knowledge necessary to evaluate risks and impacts from a major oil or chemical spill using the GNOME modeling suite. Do you know a sophomore in a minority-serving university or college who might be interested? If so, please help spread the word! We are specifically looking to hire someone who: 🤓 Is interested in science 🌊 Wants to learn about oil spill fate and transport 🚀 Knows (or wants to learn) how to code in Python (I can guide on learning resources if needed) 🤹♂️ Seeks an opportunity to develop experience in project planning, development, implementation, and communication, and 🎣 Is a member of a subsistence living community that could benefit from "in-community" knowledge of these tools and resources. Even if this project doesn’t appeal, there are a variety of projects to choose from within the program, and accepted applicants to the program will be able to accept or to decline participation. Please let me know if you have any questions! I will pre-emptively address the elephant in the room by saying that, yes, we are in transition to a new administration and it seems that this administration is interested in implimenting Project 2025 in which it is stated NOAA “should be broken up and downsized” and, if NOAA is broken up and downsized, I have no idea what will happen to my job or this internship; however, I can guarantee that learning of how to craft a stellar application is an important skill that takes practice…and that no practice is wasted. I can also guarantee that I can help guide the development of that skill; so...I say we keep going for it, together, and consider that however far we get will be a win because important skills can be learned at any stage. Click here to apply: https://lnkd.in/gtwusChD
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🌍 𝐓𝐞𝐧 𝐫𝐞𝐚𝐬𝐨𝐧𝐬 𝐭𝐨 𝐒𝐭𝐮𝐝𝐲 𝐒𝐩𝐚𝐭𝐢𝐚𝐥 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠! 🌍 Our Master’s in #SpatialEngineering at the Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente of Twente equips you with the skills to engineer solutions for wicked problems. Here are 🔟 reasons why this programme stands out: ➡️ 1. Spatial Information Science 📊 Learn to process and visualize massive spatial datasets to understand and solve issues like flooding, food shortages, and biodiversity loss. ➡️ 2. Technical Engineering 🔄 Model and understand environmental processes such as flood risks, seismic waves, and ecological systems using advanced techniques. ➡️ 3. Spatial Planning & Governance 🗣 Master the art of planning interventions by understanding stakeholder needs, governance structures, and legal frameworks. ➡️ 4. Challenge-Based Learning 🛠️ Engage in real-life case studies and develop sustainable interventions for urban flood problems, food and water insecurity, and more. ➡️ 5. Customizable Curriculum 📚 Tailor your Master’s with elective courses and choose the knowledge and skills you need to address specific challenges. ➡️ 6. International Module 🌐Gain global exposure by visiting organizations across Europe and participating in e-visits worldwide. ➡️ 7. Internship Opportunities 💼 Apply your knowledge in real-world settings with internships at leading companies and organizations. ➡️ 8. Academic & Research Skills 📝 Enhance your academic writing, research methods, and data management skills through dedicated learning lines. ➡️ 9. Intercultural Competences 🌍 Develop cultural awareness and social process understanding to work effectively in multicultural and multidisciplinary teams. ➡️ 10. Project Management Skills 📅 Learn project planning, budgeting, and performance evaluation to manage large-scale projects successfully. 🔜 Join our Online Open Day on 20 November 2024 or Master Open Day on Campus on 21 November, and discover how you can make a difference with Spatial Engineering. Register now: https://lnkd.in/e8TSD-aH #SpatialEngineering #UTwente #facultyITC
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🌍🔬 Wrapping up an incredible internship! 🌊🧪 Over the span of two months, I've had the privilege of completing my internship at the Department of Geoscience at Aarhus University under the guidance of Christof Pearce. During this time, I worked on a fascinating research project analyzing sediment varves from Aarhus Bay to uncover annual climate patterns from the past. 🏞️ 📍 What I achieved: Core Sampling & Analysis: Collected and studied sediment cores to understand how these layers can act as natural climate archives. Grain Size Analysis: Utilized advanced techniques like laser diffraction to differentiate sediment types and understand seasonal deposition cycles. Microscopy & Diatom Studies: Identified diatom species under the microscope, which provided key insights into past marine conditions. Data Interpretation: Combined radiocarbon dating and image processing to build a timeline of over 200 years of sedimentation, helping to reveal Aarhus Bay's climate history. This project has not only enhanced my skills in marine sedimentology and data analysis, but also deepened my understanding of how we can use natural archives to study climate change. 🌍🌡️ A huge thank you to Christof Pearce for his mentorship and the Department of Geoscience at Aarhus University for this amazing opportunity! Looking forward to applying this knowledge to future research. 🚀🔬 #internship #geoscience #climatechange #research #sedimentology #dataanalysis
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🎓 What students really think about the teaching of Human Geography Based on extensive analysis of student feedback, here are the key areas where Geography departments need to improve: → Core Competencies: Students want more hands-on training in GIS, remote sensing, and cartography skills → Teaching & Assessment: Less reliance on traditional lectures, more interactive learning and project-based work → Industry Connection: Better alignment with professional standards and more internship opportunities → Resources & Support: Improved access to specialised software, data sets, and technical support → Diversity & Inclusion: Greater representation of diverse perspectives in curriculum and more equitable access to resources → Assessment Methods: Moving beyond exam-centric evaluation to include more self-assessment and continuous feedback → Specialist Resources: Enhanced access to industry-standard GIS tools and geospatial datasets → Professional Development: More opportunities for industry certifications and networking Want to improve Geography teaching at your institution? Download our comprehensive guide analysing millions of student comments. Comment below or DM us for your copy of the PDF 📚 #HigherEducation #Geography #TeachingExcellence #StudentVoice Like 👍 | Comment 💭 | Share 🔄
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#Dear_network, I am pleased to announce that I have successfully completed my second task with Encryptix IRIS FLOWER CLASSIFICATION using the k-nearest neighbors algorithm KNN. The Iris dataset consists of three species: setosa, versicolor, and virginica. These species can be distinguished based on their measurements. My goal was to develop a machine learning model using the k-nearest neighbors algorithm to learn from these measurements and accurately classify Iris flowers into their respective species. By utilizing the Iris dataset, I trained a model that can classify Iris flowers into different species based on measurements of their sepals and petals. This method is widely used for introductory classification tasks. #Encryptix #newinternship #datascience
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This summer I completed a physics research internship at the University of Birmingham. I joined the Quantum Interferometry group part of the Astronomy and Space research group at UOB. The focus of my internship was to develop a novel design of gravity gradiometer (a device that can measure changes in the local strength of gravity) that could be used on a drone. Such devices are often used in resource extraction as a non-destructive method of detecting areas of higher or lower mass density. They can also be used to pick up the presence of subsurface structures, and underwater navigation in submarines! My device used two commercial available geophones (L4c's), positioned vertically, which would respond to a varying gravitational field whose magnitude of response depends on distance. To eliminate seismic noise I carried out a process called "common-mode rejection" which allowed me to perform a coherent subtraction between the seismometers. Data was processed in real-time using a computer running ADVLIGORTS - the same control program used in LIGO. The device was modeled using Matlab and Simulink. To test the gradiometer I measured the noise on the output and compared it to the expected noise values, and found it was possible to tune the common mode rejection to reach the thermal noise floor of the L4c's in the frequency range desired. Initial testing of the device consisted of doing press-ups and lifting weights near the device, which lacked some degree of repeatability. To rectify this I built a frame and suspended from it a 20kg mass, which I could then actuate vertically using a coil and spring. I then drove the mass at a particular frequency, which was observed as a peak at the driving frequency in the frequency spectrum of the gradiometer output. In addition to this I modeled the response we expected in a variety of real-word scenarios using a model I implemented in Python. As part of the internship I was expected to present my progress in weekly group meetings. I also took part and presented in the QI group meeting (a multi-university mini-conference) in the lake district. A full write-up can be found on my github: (https://lnkd.in/dMbUWPR2) I really enjoyed my time this summer, so for that reason I am very grateful to all the members of the research group for making me feel welcome and part of the team! Seen below: my gradiometer, positioned on a floating table, next to the vertically oscillating mass.
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Graduate Teaching Assistant || Geomatics Engineer|| Remote Sensing & GIS Analyst || Data Scientist
3moTemitayo Adeseye