The U.S. Department of Energy (DOE) Office of Science Graduate Student Research (SCGSR) Program is accepting new applicants for supplemental funds to conduct part of their thesis research at a DOE laboratory in areas that address scientific challenges central to the Office of Science mission. These research opportunities are expected to advance graduate students' overall doctoral thesis while providing access to the expertise, resources, and capabilities available at the DOE laboratories. The supplemental award provides for additional, incremental costs for living and travel expenses directly associated with conducting the SCGSR research project at the DOE host laboratory during the award period. The award period for these research projects range from 3 to 12 consecutive months.

DOE SCGSR research areas include:

• Earth System Modeling: developing new algorithms or computational methods for earth system model codes that will both advance earth system science and be designed to effectively and efficiently utilize emerging generations of Leadership class computers.
• Regional and Global Climate Modeling: analyze or use models to isolate, identify, and quantify high-latitude climate changes and feedbacks.
• Environmental System Science: delineate an integrative, hypothesis-driven approach and clearly describe the existing needs in state-of-the-art models through terrestrial ecosystem and subsurface biogeochemical process research projects that will inform land process, watershed, and ecosystem models, and aligns with the scope and focus of the DOE Terrestrial Ecosystem Science and/or Subsurface Biogeochemical Research programs.
• Atmospheric System Research:  new expertise in coupling observational data from the Atmospheric Radiation Measurement (ARM) Climate Research Facility with high resolution numerical models to advance predictive understanding of aerosol and cloud processes. Of particular interest are applications for this topic that enable observationally-focused graduate students to develop skills in numerical modeling or modeling-focused graduate students to develop skills in working with advanced observational data.

Applications are due May 16, 2017. For more information, visit the Office of Science Graduate Student Research website.