NIAI Lab @ Hanyang
Neuro-inspired AI group
Our group is interested in understanding principles that underlie learning and inference in the brain and machines, mainly by using tools from machine learning and statistics.
Structures permeate the fields of science and engineering, manifesting in various forms. Some structures, like molecular structures and transportation networks, are easily observable, while others, such as biological neural networks, spatial structures, causal graphs, and latent interactions among signals from diverse sensors, are not readily apparent or challenging to measure.
In our laboratory, we harness cutting-edge deep learning methods that embrace structures from both probabilistic and geometric perspectives. Specifically, our focus lies on graph neural networks, the broader domain of geometric deep learning, and generative models. By leveraging these approaches, we aim to tackle a wide range of important scientific, engineering, and real-world problems.*
We are currently seeking three highly motivated individuals pursuing MS-PhD/PhD degrees to join our research team. Our primary objective is to find candidates who are deeply passionate about the field of AI and possess a strong drive to contribute to cutting-edge advancements in machine learning.
Key Responsibilities:
- Design, implement, and evaluate novel deep neural networks and related methods.
- Collaborate with research colleagues to efficiently implement structured machine learning architectures.
- Effectively communicate research findings and developments, both internally and externally, through clear and concise written and verbal presentations.
- Stay up to date with the latest advancements in machine learning by actively exploring and assimilating new research.
- Foster collaborations with external collaborators and maintain relationships with relevant research labs and individuals.
Minimum Qualifications:
- A Bachelor’s degree in a technical field or equivalent practical experience.
- Proficiency in programming languages such as Python, PyTorch, Tensorflow, etc.
- Demonstrated passion for AI.