NEW EPSRC DTP PHD Scholarships in 2023 The use of dynamic data sets, where each component of the data has a unique timestamp, has increased. It is now possible to visualise dynamic graphs in an event-based manner by using algorithms for sketching temporal networks inside the space-time cube (2D + t). The navigation of three-dimensional images of non-spatial data is challenging. In order to fully comprehend the graph structure and how it changes over time, interactive systems are required.
NEW EPSRC DTP PHD Scholarships in 2023 The student will look into how to divide and visualize the space-time cube perceptually effective ways. This space-time cube’s contents will first be seen using an embedded network created using an event-based dynamic graph drawing technique. In this instance, the visualization techniques will be used to emphasise seeing the drawing’s existing structure. NEW EPSRC DTP PHD Scholarships in 2023
Complete funding for computer science AI-based crop detection using spectral remote sensing photos is supported by an EPSRC DTP PhD scholarship (RS187)
The deadline is January 18, 2023.
Please enter the following information on your online application if you wish to apply:
Please choose Computer Science / PhD / Full-time / 3 Year / April as your course.
Free satellite photos with a medium to high spatial resolution have made it possible to potentially find solutions to the difficult dynamic land use and land cover mapping issues. The goal of this project is to create novel AI mapping and crop detecting methods.
The first phase in AI-based time series analysis, which aims to provide foundational data for numerous socio-economic applications, is crop detection. Examples include agricultural planning and production estimation, monitoring change, ensuring the security of the food supply chain, and implementing crop rotation, insurance, and fertilisation services.
The absence of real-world data is a significant obstacle to crop detection. The majority of time-series assessments of historical data are like that. Contrarily, crop-specific variations in visual and chemical properties throughout a year are perceived
Free satellite images with a medium to high spatial resolution have made it possible to potentially find solutions to the difficult dynamic land use and land cover mapping issues. The goal of this project is to create novel AI mapping and crop detection methods.NEW EPSRC DTP PHD Scholarships in 2023
Crop detection is the first step in AI-based time series analyses, aiming to provide fundamental information for many socio-economic applications. Examples are crop control and yield estimation, change monitoring, supply chain and food security, climate change policies such as crop rotation, insurance, and fertilisation services.NEW EPSRC DTP PHD Scholarships in 2023
The absence of real-world data is a significant obstacle to crop detection. The majority of time-series assessments of historical data are like that. On the other hand, spectral satellite images are able to detect the crop-specific alterations in visual and chemical features over the course of a year. Therefore, the goal of this study is to create AI methods for crop detection that efficiently exploit the spectral bands. This is accomplished by (1) identifying useful spectral bands for time-series analysis and crop detection using an unsupervised framework. In order to achieve this, the crucial spectral wavelengths are identified using vegetation indices and other plant characteristics. (2) a supervised framework for creating a novel spectral attention model utilising prediction techniques for visual transformers.
Candidates must typically have a 2.1 undergraduate GPA in addition to a master’s degree in data science, computer science, mathematics, industrial engineering, or a closely related field with merit (or non-UK equivalent as determined by Swansea University).
NEW EPSRC DTP PHD Scholarships in 2023Applications are encouraged in the following subject areas:
Accounting: We are looking for top-notch PhD candidates with interests in all aspects of accounting as well as exceptional quantitative and qualitative accounting skills. Corporate governance and sustainability practises and reporting are two areas of accounting research that should be given priority, but they are not the only ones. If you have any questions about a particular subject, please email Prof. Alaa Zalata at [email protected]
Students with knowledge in big data modelling are wanted in the banking and finance industry. It will be appreciated if you have an MSc in statistics, financial mathematics, or quantitative finance. We are searching for a candidate who, among other things, can create fresh methods for finding patterns in big data. Contact Prof. Tapas Mishra at [email protected] if you have any questions about a particular subject.
Searching for exceptional students in the fields of Decision Analytics and Risk among our members.
The UK government primarily funds PhD students in fields like engineering, physics, and allied fields through the Engineering and Physical Sciences Research Council (EPSRC). A full EPSRC studentship will pay all of your living expenses, your PhD tuition, and provide a grant to pay for lab supplies.
We have explained in this guide who is eligible for EPSRC funding for PhD students as well as how to apply.
You can even begin looking for EPSRC PhD studentships if you believe you already know everything you need to.NEW EPSRC DTP PHD Scholarships in 2023
Candidates typically need to have a 2.1 level undergraduate degree in computer science, mathematics, or a closely related field, or a master’s degree in the relevant field with a minimum overall GPA of “Merit.”NEW EPSRC DTP PHD Scholarships in 2023
NEW EPSRC DTP PHD Scholarships in 2023 This scholarship provides a stipend of £17,668 per year in addition to paying all of the UK tuition fees.NEW EPSRC DTP PHD Scholarships in 2023
Added research costs will also be covered.NEW EPSRC DTP PHD Scholarships in 2023
We invite you to visit our website for more details.