Innovative PhD Position in Deep Learning for 3D Scene Analysis

3 days ago


Gothenburg, Västra Götaland, Sweden Chalmers tekniska högskola Full time

Job Description

We are seeking a highly motivated and talented PhD student to join our Computer Vision Group at Chalmers tekniska högskola. This is an excellent opportunity for you to pursue your doctoral studies and contribute to groundbreaking research in 3D scene analysis and generative diffusion models.

Project Overview

The PhD project will focus on exploring new ways of encoding symmetries in deep learning models to scale up computations for realizing truly 3D generative models for general scenes. You will have the chance to develop theoretical concepts and innovative methodologies while contributing to real-world imaging applications.

Key Responsibilities

  • Pursue your own doctoral studies, developing your scientific concepts and communicating results verbally and in writing, both in Swedish and in English.
  • Contribute to teaching on Chalmers' undergraduate level or perform other duties corresponding to 20 percent of working hours.

About Us

Our research group conducts research in automatic image interpretation and perceptual scene understanding. We target both medical applications, such as developing new methods for analysis, support, and diagnostics, and general computer vision applications including autonomously guided vehicles, image-based localization, structure-from-motion, and object recognition.

Your Benefits

You will enjoy working in a diverse, collaborative, supportive, and internationally recognized environment. As a PhD student, you will have access to state-of-the-art facilities and resources, and you will be part of a dynamic team that values innovation and creativity.

Salary and Other Benefits

The estimated salary for this position is approximately SEK 27,000 - 32,000 per month (before taxes), depending on your qualifications and experience. You will also receive a comprehensive benefits package, including health insurance, paid vacation time, and opportunities for professional development.



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