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PhD Fellowship in Resource Efficiency for Generative AI
Summary by AIEngineer.careers
PhD Fellowship in Resource Efficiency for Generative AI is a AI Research Scientist role (full-time). with University of Copenhagen (DIKU). in KØBENHAVN, DK. Imported listing (source: climateainordics.com). Apply on the employer's site (climateainordics.com).
Imported listing (source: climateainordics.com) · Apply on climateainordics.com
KØBENHAVN · DK
—
Full-time
JUNIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from climateainordics.com
This fully funded PhD fellowship focuses on researching resource efficiency within Generative AI systems, specifically targeting Large Language Models (LLMs) and AI agents. The role involves developing algorithms and training paradigms that optimize hardware usage and computational efficiency.
Responsibilities
- Research algorithms for improving resource efficiency in Generative AI models
- Develop hardware-aware optimization techniques for LLMs and AI agents
- Conduct experiments to evaluate training paradigm efficiencies
- Publish research findings in top-tier academic venues
Requirements
- Holding or expecting a Master's degree in Computer Science, AI, or a related field
- Strong background in machine learning and deep learning frameworks
- Proven research experience with publications in AI/ML conferences
- Ability to work independently and collaboratively in an academic setting
Nice to Have
- Experience with model compression or quantization techniques
- Knowledge of sustainable computing practices
University of Copenhagen (DIKU)
København · DK · 171+ employees
The Department of Computer Science at the University of Copenhagen (DIKU) is Denmark’s first computer-science department, established by Peter Naur in 1970. It conducts research, education, and innovation in computer science, with a stated mission of creating computing for a better future.
