PhD in 3D Egocentric Vision & Spatial AI

Danmarks Tekniske Universitet; Ørsted; On-site; DKK 314,000 - 389,000; Full time

Benefits offered by this job

PhD stipend

International collaboration

Job summary

DTU Compute invites applications for a PhD scholarship in 3D egocentric vision and spatial AI. The successful candidate will join the Visual Computing Section and work on learning-based methods for understanding complex 3D environments from egocentric observations.

Responsibilities include research, model design and evaluation, publishing in top venues, collaboration with DTU and international partners, and supervision of BSc/MSc projects.

Qualifications

• Strong background in computer vision and machine learning.
• Experience with deep-learning frameworks such as PyTorch.
• Strong programming in Python and/or C++.
• Experience using Linux and software-development tools such as Git, Conda, or Docker.
• Excellent written and spoken English.

Responsibilities

• Conducting research and developing novel methods for 3D egocentric perception and spatial AI.
• Designing, implementing, and evaluating machine-learning models.
• Publishing research results in leading international conferences and journals.
• Collaborating with researchers at DTU, the Pioneer Centre for AI, and international partner institutions.
• Contributing to the supervision of BSc and MSc student projects.
• Participating in research-group activities and relevant teaching or dissemination activities.

Skills

Computer vision

Machine learning

PyTorch

Python

C++

Linux & development tools

English

Education

Two-year master's degree (120 ECTS)

Tools

Git

Conda

Docker

Job description

DTU Compute invites applications for a PhD scholarship in 3D egocentric vision and spatial AI. The successful candidate will join the Visual Computing Section and work on learning-based methods for understanding complex 3D environments from egocentric observations.

Responsibilities include research, model design and evaluation, publishing in top venues, collaboration with DTU and international partners, and supervision of BSc/MSc projects.