Phd Position in Machine Learning for Mesh-based - Zurich, Schweiz - ETH Zürich
Beschreibung
PhD position in Machine Learning for Mesh-based Representations of Deformable Objects:
100%, Zurich, fixed-term:
At the Soft Robotics Laboratory (SRL), we offer a doctoral position on the topic of real-time mesh-based reconstruction of deformable objects and systems from unstructured point clouds.
In this collaboration, we develop an efficient, robust, and real-time mesh-based representation of articulated or deformable objects, with material properties of the objects augmented in such a representation.
Such a tool would greatly simplify the solution to complex downstream tasks such as real-time scene generation in moving cluttered environments or manipulation of articulated and/or deformable objects.
We aim to release generalizable real-time points to mesh reconstruction framework that leads to a leap in performance improvements on existing grasping benchmark tasks as well as our own proposed manipulation benchmark challenges.
Project background:
Job description:
As a PhD student, you will develop and publish new software frameworks and their real-world validation. You will regularly present your work at international robotics and machine learning conferences.
Your responsibilities will also include supervising bachelor and master students in their thesis works, supporting the Soft Robotics Laboratory in teaching its graduate classes and preparing grant proposals.
Your profile:
You are:
- interested in the computer vision of robots for manipulation and are motivated to independently explore various research fields to combine their knowledge to achieve this goal.
- a diligent worker driven to publish new insights and lead the research community forward by communicating your findings to a smaller community of researchers and a broader public audience.
- curious about novel technologies, learning about different complex objects, and understanding their physical properties.
You persevere through:
- challenges faced throughout the project and are able to quickly adapt when experiments do not deliver the desired results.
You have background knowledge in:
- in object representations, computer graphics/vision, and physics-based simulation. Ideally, you have previously worked with robotics learning and (differentiable) simulations, with hands-on experience manipulating deformable objects, reconstructing mesh representations online, and matching with simulated and/or ground truth shapes.
- Machine learning knowledge, especially in the field of deep learning for computer graphics, can be beneficial. Proficient communication skills in English are required.
We offer:
ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity, and attractive offers and benefits.
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.
Curious? So are we
:
- Cover letter with a description of your research achievements and research interests
- Detailed CV
- Transcripts of all degrees (English)
- Names and contact information of at least three references
- Representative published research work (Papers, thesis if possible).
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