Scientist Position in Geometric Deep Learning

2 weeks ago


Gothenburg, Västra Götaland, Sweden Chalmers tekniska högskola Full time

Are you passionate about advancing machine learning and computer vision? Chalmers tekniska högskola invites applications for a PhD student position in geometric deep learning. As a member of the Computer Vision Group, you will contribute to groundbreaking research in 3D scene analysis and generative diffusion models.



Project Overview



This PhD project offers an opportunity to delve into the area of geometric deep learning within the broader landscape of machine learning and 3D computer vision. You will have the chance to develop theoretical concepts and innovative methodologies while contributing to real-world imaging applications.



Main Responsibilities



Your main responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing, both in Swedish and in English. The position also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours.



The Research Group



The Computer Vision Group conducts research in the field of automatic image interpretation and perceptual scene understanding. The group targets both medical applications and general computer vision applications, including autonomously guided vehicles, image-based localization, structure-from-motion, and object recognition.



Key Research Directions



Your research will focus on understanding and improving deep learning methods for 3D scene analysis and 3D generative diffusion models. You will explore new ways of encoding symmetries in deep learning models to scale up computations and realize truly 3D generative models for general scenes.



What We Offer



As a member of the Computer Vision Group, you will enjoy working in a diverse, collaborative, and supportive environment. You will have the opportunity to contribute to cutting-edge research and develop your skills in a dynamic and international setting.






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