1-year PostDoc position in Resource-Aware & Sustainable Machine Learning at IT University of Copenhagen

This 1-year Postdoctoral position at the IT University of Copenhagen focuses on research in resource-aware and sustainable machine learning. The role requires expertise in machine learning methodologies with an emphasis on optimizing computational resources and energy efficiency. Candidates should have a strong background in developing and applying machine learning algorithms that consider environmental impact and sustainability constraints. Familiarity with techniques for reducing model size, computational complexity, and energy consumption, such as model compression, pruning, quantization, or efficient architecture design, is essential. The position is research-oriented, likely demanding proficiency in programming languages commonly used in machine learning research, such as Python, and experience with relevant frameworks like TensorFlow or PyTorch. A solid understanding of sustainability principles in computing and the ability to assess the environmental footprint of machine learning models is important. The role is suitable for candidates with a doctoral degree in computer science, artificial intelligence, or a related field, with demonstrated research experience in machine learning and sustainability. Strong analytical skills, the ability to conduct independent research, and effective scientific communication are critical. Collaboration within interdisciplinary teams and contributing to advancing sustainable AI practices are expected. Overall, the position demands a combination of advanced machine learning expertise, a commitment to sustainability in technology, and a research-driven mindset to develop innovative solutions that minimize resource consumption in AI systems.