Doctor of Philosophy in Computational Science

By and large, doctoral programs in the sciences are structured to train primarily future academic professionals. However, it is well-documented that only about a third of all PhD's in science and engineering eventually find permanent employment in academia. Even less frequently do science PhD's find an occupation related to the particular subject of their graduate training, or even in the same discipline or general area of science. At the same time, however, the average employment rate for science and engineering PhD's has been consistently above the national average, indicating that such graduates can successfully seek employment outside their immediate field of expertise.

This is doubtless due to their general aptitude for tackling complex tasks, which is in turn a direct outcome of their training in research. Examples abound -- to cite only one, the recent wave of PhD physicists who found employment in the financial industry.

Concurrently, the last decade has witnessed profound changes and restructuring of traditional industrial research and development. Many industrial and corporate laboratories, that had been at one time heavily engaged in cutting edge basic research, were refocused to have a greater and more immediate impact on production, allowing firms to compete on several fronts at the same time, make more efficient use of internal resources, and keep up with rapidly changing technology. This process has naturally favored skilled but broadly educated scientists, who are capable of working beyond the traditional boundary of their own field, typically within multidisciplinary teams.

• 獎學金 - 查看所有獎學金
• 實習機會