The goal of this project is to add multi-dimensional scheduling capabilities to the Cobalt scheduler at ALCF. Multi-dimensional capabilities include memory resources (e.g., on-chip and off-chip RAM, external RAM/NVRA), network resources, I/O burst buffer resources, power, and possibly other resources. We will develop a general framework that can dynamically analyze platform state and application requirements, and adaptively make runtime decision for job scheduling and resource allocation. Moreover, we intend to make integration of future dimensions easier and more consistent in Cobalt. Areas of research include advanced learning techniques, methods for users and the scheduler to communicate and assess multi-aspect requirements, scheduling policies supporting flexible, dynamic, and multi-dimensional resource constraints, and a more tightly coupled scheduling simulator to facilitate decision making and policy evaluation.