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Doktorand inom AI-driven datorgrafik och bildsyntes

Norrköping, Sweden💼 Full-time🗓 2026-06-17 → 2026-07-31

Core

Research and development of generative AI models and deep learning methods for creating, editing, and optimizing photorealistic computer graphics and 3D scenes with real-time rendering.

Role type

PhD researcher (AI-driven computer graphics and image synthesis)

Builds

Novel generative AI models and deep learning methods for neural rendering and 3D scene optimization

Domain

Computer graphics, neural rendering, deep learning, image synthesis

Deliverable

production ML models

Required skills

Python, C++, GPU development, deep learning frameworks (PyTorch, TensorFlow), computer graphics, image analysis

Preferred skills

None stated

Technologies

PyTorch, TensorFlow, GPU

Responsibilities

Develop generative AI models and deep learning methods for photorealistic graphics; collaborate with senior researchers on neural rendering projects; conduct research within the PhD program; teach or participate in institutional duties up to 20% of full-time

Seniority

PhD candidate (early career researcher)

Rewrite
## Responsibilities - Conduct research focused on the development of new generative AI models and deep learning methods to create, edit, and optimize photorealistic computer graphics and 3D scenes with real-time rendering. - Work in close collaboration with senior researchers and other PhD students on projects exploring the intersection of neural rendering (e.g., NeRF and Gaussian Splatting) and traditional computer graphics. - Engage in doctoral education and research projects. - Participate in teaching or other institutional duties, up to 20% of full-time. ## Requirements - Completed a degree in advanced computer engineering, technical physics, applied mathematics, computer science, or equivalent; OR completed at least 240 higher education credits, of which at least 60 credits at an advanced level in a relevant subject such as machine learning, computer vision, computer graphics, or image analysis; OR acquired substantially equivalent knowledge in another way. - Analytical, proactive, and strong problem-solving skills. - Genuine interest in visual technology and the ability to work both independently and effectively in a group. - Very good programming skills in Python and C++. - Documented experience in computer graphics and GPU development. - Practical experience with deep learning frameworks such as PyTorch or TensorFlow. - Very good knowledge of English, both spoken and written, as the research is conducted in an international environment. ## Nice to Have - (None explicitly listed beyond core requirements) ## Benefits - Part of an internationally outstanding and interdisciplinary research environment where technology meets natural sciences. - Dynamic and creative environment at Campus Norrköping with close collaboration between different research disciplines and strong ties to industry. - Access to state-of-the-art infrastructure and laboratories at the Visualization Center C. - Opportunity to work in an international environment with a broad network of academic partners and innovative companies. - Doctoral salary regulated according to a locally agreed salary scale. - Employment is normally limited to four years full-time, with possible extension to five years depending on teaching and institutional duties. - Initial employment for one year, renewed for up to two years at a time based on the study plan.
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