PhD in Real-Time Visual AI & Efficient Computing

KU - SCIENCE - DATALOGISK INSTITUT - UP1; København; Presencial; DKK 355.000 - 469.000; Jornada completa

Descripción de la vacante

The University of Copenhagen, IMAGE section, invites applications for a PhD fellowship in Real-Time Visual Computing and AI (REVCAI). The project aims to advance fast, scalable AI-powered visual processing within practical hardware limits, exploring real-time 3D representations, efficient rendering, and interactive perception.

Supervised by Assistant Professor Bernhard Kerbl, the PhD candidate will contribute to novel algorithms and high-performance computing methods, collaborating across

Formación

• Strong academic background in computer science, engineering, or related field.
• Experience with graphics, vision, ML, or high-performance computing is advantageous.
• Programming in Python and C++ is expected.

Responsabilidades

• Carry out an independent PhD research project under supervision.
• Complete PhD courses (~30 ECTS).
• Engage in international collaboration and be prepared for stays abroad.
• Contribute to teaching and dissemination of research.
• Publish in international conferences and journals.

Conocimientos

Python/C++ programming

English communication

Algorithms and problem solving

High-performance computing

Educación

Master's degree in Computer Science or related field

Descripción del empleo

The University of Copenhagen, IMAGE section, invites applications for a PhD fellowship in Real-Time Visual Computing and AI (REVCAI). The project aims to advance fast, scalable AI-powered visual processing within practical hardware limits, exploring real-time 3D representations, efficient rendering, and interactive perception.

Supervised by Assistant Professor Bernhard Kerbl, the PhD candidate will contribute to novel algorithms and high-performance computing methods, collaborating across