A computational perspective based on robust control tools is presented for the H2 synthesis of finite-dimensional controllers for linear, stable, distributed-parameter systems corresponding to certain evolution equations. The approach pursued here relies on finite-dimensional approximations and error bounds on the H (infinite) norms of the corresponding errors on transfer functions so that the resulting synthesis procedure solely depends on rational transfer functions, thereby yielding finite-dimensional controllers. More specifically, a class of stabilizing controllers for a given infinite-dimensional system is defined taking optimal solutions of H2 / H (infinite) problems - i.e., a nominal H2 cost is minimized over controllers which satisfy a nominal stability margin defined by a scalar parameter micro. A controller is then obtained by choosing micro in such a way as to minimize an upper bound on the value taken by the cost functional on the original infinite-dimensional system. This procedure is illustrated by simple numerical examples involving the (simplified) heat equation in one dimension.