鲁汶大学PhD student in Digital Fabrication and Computational Optimization申请条件要求-申请方
Organizer
University of Leuven – KU Leuven
Description
We will develop novel methods to generate 3D models for fabrication via 2D laser cutting, foldable paper, 3D printing, and a combination of them in conjunction with novel optimization-based computational methods for better fabrication outcomes. The research will be related to the areas of 3D modeling, computer graphics, digital fabrication, geometric processing, and geometry generation.
At the Sensing, Interaction & Perception Lab (Prof. Christian Holz), we are looking to recruit a PhD student with an interest in conducting cutting-edge research, with a solid motivation to work on challenging topics, and a strong desire to learn.
Project background
Recent trends in digital fabrication and 3D modeling focus on enhancing techniques like 2D laser cutting, foldable paper engineering, and 3D printing. This project will explore the integration of these fabrication methods with advanced optimization algorithms to develop innovative computational approaches. By leveraging the latest advancements in each area, we aim to create more efficient and effective processes for generating complex geometries, pushing the boundaries of what is achievable in digital fabrication and geometric processing through computational optimization.
Job description
During your PhD studies and research, you will
conduct research on 2D laser cutting, 3D developable surfaces, and 3D printing by developing novel computational optimization algorithms.
develop novel computational methods for 3D modeling and geometric processing.
fabricate, design, iterate on 2D and 3D models and create physical prototypes (a lot).
design experiments to test and validate the new fabrication techniques.
collaborate with team members at the Sensing, Interaction & Perception Lab and others at ETH Zürich.
present research findings at conferences and publish in peer-reviewed journals or conferences.
assist in supervising undergraduate and master's students on related projects.
stay updated on the latest advancements in digital fabrication and 3D modeling.
You should have a background in Computer Science, Electrical Engineering, Robotics, or Mechanical Engineering.
We offer
We offer an exciting and stimulating environment to study and work in. In the SIPLAB at ETH Zürich, we are an international and cross-disciplinary research group working across computational interaction, physical computing, applied computer vision, wearable sensing, and mobile health. We bring together skills and experience from Computer Science, Electrical Engineering, Robotics, Mechanical Engineering, and Biomedical Engineering. We are part of the Department of Computer Science and affiliated with the Department of Information Technology and Electrical Engineering and collaborate with several other research groups, which are internationally recognized in computer graphics, fabrication, sensing systems, and machine learning. We also collaborate with several other institutions and companies in Switzerland and abroad. We publish our research at the top venues in technical Human-Computer Interaction, Ubiquitous Computing, Graphics, and Computer Vision.
We value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
University of Leuven – KU LeuvenPhd申请条件和要求都有哪些？PhD student in Digital Fabrication and Computational Optimization项目是不是全奖？有没有奖学金？下面我们一起看一下University of Leuven – KU Leuven申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
Requirements
Profile
an excellent master's degree (M.Sc., M.Eng. or equivalent) in Electrical Engineering, Computer Science, Robotics, Mechanical Engineering, or closely related
written and spoken fluency in English
demonstrated experience in digital fabrication
experience implementing research prototypes
strong interpersonal and communication skills
recommended: demonstrated international mobility through exchanges, internships, or visits at other research institutions
Prior experience in conducting research is a plus including prior publications.
How to register
Application Website
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