University of Copenhagen
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PhD Fellowship in Real-Time Visual Computing and AI University of Copenhagen in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time PhD fellowship for up to three years. Salary, pension, and employment conditions follow the Danish agreement framework; the monthly salary starts at 31,800 DKK (approx. 4,200 EUR, August 2026 level), with possible supplement depending on qualifications, and the employer pays an additional 18.07% to the pension fund.
Deadline
Nov 6, 2026
Country
Denmark
University
University of Copenhagen
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About this position
The Department of Computer Science at the University of Copenhagen is offering a PhD fellowship in Real-Time Visual Computing and AI (REVCAI). The project sits at the intersection of computer graphics, computer vision, machine learning, geometry, and high-performance computing, with a strong focus on making visual AI systems fast, efficient, scalable, responsive, and practical to deploy.
The research may explore topics such as real-time 3D reconstruction and representation, neural and point-based representations, efficient rendering and visualisation, high-performance computer vision, efficient machine learning, dynamic and multimodal scene understanding, geometric and physical reasoning, and visual perception for interactive or embodied systems. Applications may include robotics, autonomous systems, interactive 3D applications, augmented and virtual reality, and scientific or biomedical imaging.
The successful candidate will work under the supervision of Assistant Professor Bernhard Kerbl in the IMAGE section at the University of Copenhagen. The environment is described as collaborative and interdisciplinary, with opportunities to contribute to publications, open-source software, and collaborations with researchers in Denmark and internationally.
This is a full-time PhD position for up to three years. The monthly salary starts at 31,800 DKK (approx. 4,200 EUR, August 2026 level), plus pension contributions and possible supplements depending on qualifications.
Eligibility requires a degree equivalent to a Danish master’s degree in computer science, computer engineering, robotics, applied mathematics, physics, or a related discipline. Strong programming and algorithmic skills are important, and experience with Python, C++, GPU programming, machine learning, computer graphics, computer vision, or optimisation is advantageous. Good English skills are required.
The application deadline is 6 November 2026, 23:59 CET. Applicants must submit an English application with a motivation letter, CV, diplomas and transcripts, publication list if relevant, and referee information if available.
Funding details
Full-time PhD fellowship for up to three years. Salary, pension, and employment conditions follow the Danish agreement framework; the monthly salary starts at 31,800 DKK (approx. 4,200 EUR, August 2026 level), with possible supplement depending on qualifications, and the employer pays an additional 18.07% to the pension fund.
What's required
Applicants should have a degree equivalent to a Danish master’s degree in computer science, computer engineering, robotics, applied mathematics, physics, or a related discipline. Strong programming and algorithmic problem-solving skills are required, with experience in computer graphics, computer vision, machine learning, high-performance computing, robotics, geometry processing, optimisation, or related quantitative methods considered advantageous. Relevant research, thesis, project, or publication experience is preferred, along with programming experience in Python and/or C++. Good written and spoken English is required, and applicants should be curious, analytical, able to work independently and collaboratively, and interested in computational efficiency and algorithmic/system aspects of visual AI.
How to apply
Prepare the application in English and submit it electronically via the Apply for position link. Include a motivation letter, CV, diplomas and transcripts, publication list if applicable, and reference letters or referee contacts if available. Submit before the deadline of 6 November 2026 at 23:59 CET.
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