Your overall focus will be computer vision with industrial applications in real-time monitoring of microstructure. To accomplish this, you will create models that connect macroscopic camera-based observations with microstructural features in the observed product. You will be part of a research project encompassing both nearby colleagues as well as external academic and industrial partners
You should 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. The master degree should be in Computational Science and Engineering (CSE), Applied Mathematics, Physics, Engineering or equivalent
PhD Project in Computer Vision for Estimating Microstructure Using Optical Models DTU Compute Share on Facebook Share on Twitter Share on Linkedin Monday 21 Jun 21 Apply for this job Apply no later than 1 August 2021 Apply for the job at DTU Compute by completing the following form. Apply online Department of Applied Mathematics and Computer Science's (DTU Compute) section for Visual Computing, would like to invite applications for a 3-year PhD position starting 1 October 2021. The project is financed by Innovation Fund Denmark. If you have an interest in computer vision and light scattering and the correspondences between the optical properties and the physical microstructure of a material, this PhD position could be exactly what you are looking for. DTU Compute at Technical University of Denmark encompasses both in-depth theory and practical applications, across disciplines. We build models, perform calculations, and run simulations, relating results back to the real world to solve problems. This project will be part of the Section for Visual Computing at DTU Compute which is an international research group consisting of around 40 researchers (faculty: 10, PhDs/postdocs: 30). The section is an active part of the 3D Imaging Center at DTU, includes an ImageLab with vision systems for acquiring shape and reflectance, has access to the DTU Computing Center, and has a long history of interdisciplinary projects in collaboration with academic and industrial partners. Project Description This position is part of a research project on real-time monitoring of continuous mozzarella production, where you will be part of a large research team. Your role will be to find methods for acquiring optical properties and for correlating these with microscopic and functional properties of the observed product. More specifically, you will work on methods for model-based estimation of microstructure from optical measurements. Results from your research will be used by another PhD student for correlating the microstructure to functional cheese properties. Instrumentation and inline use of methods will be done by a vision company associated with the project. You are expected to do research on light-matter interaction and machine learning to develop a robust model for real-time monitoring of product microstructure. Your research can have a direct impact on the industrial machine vision used for mozzarella production in the future. Responsibilities and qualifications Your overall focus will be computer vision with industrial applications in real-time monitoring of microstructure. To accomplish this, you will create models that connect macroscopic camera-based observations with microstructural features in the observed product. You will be part of a research project encompassing both nearby colleagues as well as external academic and industrial partners. Your primary tasks will be to: Estimate optical properties using wide-field multispectral structured light. Develop computer vision models for monitoring optical properties to estimate changes in microstructure. Use data acquired by project partners for model development and validation. Collaborate with a vision company on inline data collection and propagation of the best vision model candidates to an inline setting. Write scientific papers and present research results at conferences. Work as a teaching assistant in two or three 5 ECTS modules. You should 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. The master degree should be in Computational Science and Engineering (CSE), Applied Mathematics, Physics, Engineering or equivalent. Technical Proficiency Solid background in computer vision. Foundations in calculus, programming, optics/physics, and geometric modelling. A keen interest in microstructure and the optical properties of materials. Some experience with machine learning. Soft Skills Requirements Fluent spoken and written English. Minimum proficiency level is B2, C1 is preferred. Self-reliant working style Curious and ambitious personality. Prior research and publication experience is considered a definite plus but is not required. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme. For information about the general requirements for enrolment and the general planning of the PhD study programme, please see the DTU PhD Guide . Assessment The assessment of the applicants will be made by Associate Professor Jeppe Revall Frisvad, Professor Anders Bjorholm Dahl, and Assistant Professor Søren Kimmer Schou Gregersen. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is a full-time position. The period of employment is 3 years starting 1 October 2021 (or as soon as possible thereafter). You can read more about career paths at DTU here . Further Information Further information concerning the project can be obtained from Associate Professor Jeppe Revall Frisvad (firstname.lastname@example.org). Further information concerning the application is available at the DTU Compute PhD homepage . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU - Moving to Denmark . Application Your complete online application must be submitted no later than 1 August 2021 (Danish time) . A pplications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file . The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here ) You may apply prior to obtaining your master's degree but cannot begin before having received it. A ll interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply . DTU Compute DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard—producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. 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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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.
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