A Proposal for Graduate Research Traineeships in Computational Environmental Science and Engineering

计算数学的进步彻底改变了环境科学家和工程师可以解决的问题的种类和性质。为了充分利用这些进步，我们必须培养具有计算和环境领域专业知识的学生。我们提出了一个培训计划，强调对应用于环境科学和工程中复杂问题的先进计算技术的研究生学习。该计划的重点是计算环境科学和工程学将是一种完全不同的方法来解决复杂的工程问题：多学科优化(MDO)。MDO建立在数值优化、并行计算和协作工作的信息技术进步的基础上。MDO将允许环境科学家和工程师在适用于整个项目的一个或多个目标的背景下进行合作，但在每个子任务的背景下，这可能无法实现或不清楚。这种能力对于解决环境问题至关重要，环境问题通常是多学科和多目标的。该培训计划将利用环境科学和工程系的教员。计算与应用数学、计算机科学和统计学。这些部门有着丰富的合作历史，参与该项目的教职员工在各自领域都是国际公认的领导者。

Advances in computational mathematics have revolutionized the variety and the nature of problems that can be addressed by environmental scientists and engineers. To fully exploit these advances, we must develop students who have computational as well as environmental domain expertise. We propose a training program emphasizing graduate study of advanced computational techniques applied to complex problems in environmental science and engineering. The focal point of this program is computational environmental science and engineering will be a radically different approach to the solution of complex engineering problems: multi-disciplinary optimization (MDO). MDO is founded on advances in numerical optimization, parallel computation, and information technology for collaborate work. MDO will allow environmental scientists and engineers to collaborate within the context of one or more objectives that apply to the project as a whole, but that may be unattainable or unclear within the context of each subtask. This capability is critical to the resolution of environmental problems which are typically multidisciplinary and multiobjective. The training program will draw on faculty in the departments of Environmental Science and Engineering. Computational and Applied Mathematics, Computer Science, and Statistics. These departments have a substantial history of cooperation and the faculty involved in the program are internationally recognized as leaders in their respective areas.