PhD Student or PostDoc: The Autonomous Vision Group at the University of Tubingen’s Tubingen AI Center is seeking a highly motivated PhD student or PostDoc to conduct curiosity-driven fundamental research in cutting-edge neural representations for generative 3D modeling. This scholarship position is part of a collaboration with Google and will be supervised by Prof. A. Geiger in Tubingen and research scientists at Google Zurich (F. Tomball, M. Niemeyer, and M. Oechsle). There is also an opportunity to spend parts of the research time at Google Zurich, contributing to the development of VoxGRAF, GRAF, and GIRAFFE.
Summary Table:
| Position | Generative 3D Modeling Scholarship |
|---|---|
| Institution | University of Tubingen, Tubingen AI Center |
| Study Area | Generative 3D Modeling with Neural Representations |
| Research Topics | – Neural representations for 3D generative modeling |
| – Training and optimization strategies for 3D generative modeling | |
| – Context- and text-based stylization and editing | |
| – Compositional scene generation | |
| Eligibility | – Strong background in computer vision |
| – Experience with deep learning frameworks (PyTorch, Jax) | |
| – Good English skills | |
| – Excitement, self-motivation, and commitment | |
| – For PostDocs: Relevant publications in CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH | |
| Application Deadline | [Insert Application Deadline] |
Scholarship/Job Description:
Generative 3D Modeling Scholarship – PhD Student or PostDoc
This scholarship offers the opportunity to engage in fundamental research on neural representations for generative 3D modeling. The selected candidate will work in collaboration with Google and will be supervised by renowned experts in the field. The research topics include advancing the next generations of VoxGRAF, GRAF, and GIRAFFE. The scholarship provides a stimulating and collaborative environment for innovative research in 3D modeling.
Eligibility: Applicants must have:
- A strong background in computer vision.
- Experience with deep learning frameworks, such as PyTorch and Jax.
- Proficiency in English.
- Excitement, self-motivation, and a commitment to groundbreaking research.
For PostDocs, relevant publications in prestigious conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, and SIGGRAPH are expected.
Required Documents: Interested candidates are required to submit the following documents as part of their application:
- Curriculum Vitae (CV).
- Statement of Purpose highlighting their research interests and motivation.
- Copy of academic transcripts.
- Names and contact information of two academic referees.
How to Apply: To apply for this Generative 3D Modeling Scholarship, please send your application documents via email to [Insert Email Addresses of Prof. A. Geiger and Google Research Scientists].
Last Date: Until position filled.
