PhD and PostDoc Positions in 3D Machine Learning / 3D Vision (Prof. Dai)

22.11.2020, Wissenschaftliches Personal

3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D observations.

Generating 3D Models From Visual Data: Imagine creating 3D photos, holograms, or your own custom video game content from a quick video observation. We develop generative 3D models from 2D or 3D observations, focusing on indoor environments.

Qualifications: • Applicants for a PhD must hold a Master’s degree in computer science or equivalent • Fluent written and spoken English skills • Proficient C++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research statement, BA/MA transcripts, (optionally, MA thesis) • Ask two recommenders who know your work to directly email recommendation letters • Send all documents (including rec. letters) directly to Prof. Dai (angela.dai@tum.de) • Please understand that we cannot review incomplete applications

Website: https://angeladai.github.io/openings.html

Kontakt: angela.dai@tum.de

Mehr Information

http:// https://angeladai.github.io/openings.html