PhD scholarship in Physics-informed Deep Learning for Automated Analysis of Energy Materials – DTU Energy
Danmarks Tekniske Universitet
Are you a curious person, passionate about programming, deep learning, and physics? Do you want to develop innovative computational methods that directly support key breakthroughs in the green energy transition? Then we have a great opportunity for you!We are looking for a highly motivated candidate to join us as a PhD student.At DTU Energy we offer a friendly working environment built on multidisciplinary collaboration and mutual respect. The department is comprised of world-leading experts across several fields, and our research is supported by state-of-the-art equipment. We offer a high level of autonomy, allowing you to actively shape the project’s direction alongside your supervisors as it progresses.This PhD is part of the IMITATION (Image interpretation by taught simulation) project that explores the interplay between physics-based simulations and deep learning. X-ray and neutron imaging are becoming invaluable tools for the non-destructive visualization of the internal structure and composition of energy materials, such as electrodes for batteries and electrolysis cells. However, the analysis of the collected data is still largely performed with classical methods that rely heavily on human inputs. These methods are time-consuming and error-prone, limiting the accuracy of the quantifications and predictions of materials’ properties and performance. Deep-learning methods offer new possibilities for improving the data analysis workflow, but their success requires large amounts of training data, not readily available in the field of X-ray and neutron imaging.The vision for this PhD project is to use rapid simulations of how X-rays and neutrons interact with materials, to form physically realistic images to be used as the training data for deep learning. Using this approach, we aim to create a flexible and powerful deep-learning framework for quantitative image analysis across different imaging modalities and length scales.The project offers the chance to work on deep learning with an immediate application, focusing on solving relevant problems in materials for the green energy transition.You will be affiliated with the section for Structural Analysis and Modeling (SAM) together with other colleagues working with advanced characterization and simulation techniques.Responsibilities
The project exists in the intersection between deep learning, physics, and materials science. Your role as a PhD student will be to:
At the end of the PhD project, we will have realized an image analysis framework ready to be shared with other scientists and showcased to potential interested industries.Qualifications
The successful candidate has a MSc degree in a relevant field, computer science, physics, materials science or similar. The candidate should be motivated to specialize in quantitative image analysis of energy materials. The candidate should have:
You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see .Assessment
The project leader, Associate Prof. Peter Stanley Jørgensen and Head of Section, Prof. Luise Theil Kuhn will together with Assistant Prof. Salvatore De Angelis assess the applicants.
You may apply prior to obtaining your master’s degree but cannot begin before having received it.Applications received after the deadline will not be considered.All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.DTU Energy
DTU Energy is focused on education, research, and development within functional materials and their application in sustainable energy technologies. In a sustainable energy system, a large part of the energy will be supplied by fluctuating sources such as solar and wind power. This makes it critically important to be able to convert and store the energy as needed. Our research areas include fuel and electrolysis cells, solar cells, and batteries as well as advanced filtration devices. We are ca. 250 employees. Additional information about the department can be found on .Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
Kongens Lyngby, Hovedstaden
Tue, 15 Oct 2024 22:23:34 GMT
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