  We study a robust portfolio optimization problem under model uncertainty for
an investor with logarithmic or power utility. The uncertainty is specified by
a set of possible L\'evy triplets; that is, possible instantaneous drift,
volatility and jump characteristics of the price process. We show that an
optimal investment strategy exists and compute it in semi-closed form.
Moreover, we provide a saddle point analysis describing a worst-case model.
