The NeuBahar Lab at the University of Alberta, led by Assistant Professor Bahareh Tolooshams, is recruiting PhD and MSc students to work on cutting-edge research in representation learning, generative models, interpretability, world models, inverse problems, and NeuroAI. The lab is part of the Electrical and Computer Engineering Department and collaborates with Amii (Alberta Machine Intelligence Institute). Research in the lab is inspired by the brain and aims to develop intelligent systems that learn generalizable, mechanistically interpretable, disentangled, and compositional world models. Projects focus on understanding how intelligent systems perceive and interpret the world from incomplete or noisy data, drawing on principles from neuroscience and artificial intelligence. The lab seeks students with strong backgrounds in computer science, electrical engineering, neuroscience, or related fields, and with interests in interpretable AI and machine learning. Funding details are not specified, so applicants should consult the lab or university website for more information. Interested candidates are encouraged to visit the provided links to learn more and follow application instructions. The lab offers a collaborative and interdisciplinary environment for students passionate about advancing AI and neuroscience.