There have been a lot of recent progress on branching particle systems with selection, in particular on the N-particle branching random walk (N-BRW). In the N-BRW, N particles have locations on the real line at all times. At each time step, every particle generates a number of children, and each child has a random displacement from its parent's location. Then among the children only the N rightmost are selected to survive and reproduce in the next generation. In this talk we will investigate a noisy version of the N-BRW. In this model the N surviving particles are selected at random from the children in such a way, that particles more to the right on the real line are more likely to be selected. I will present some recent results on the asymptotic behaviour of this particle system as N goes to infinity; including the distribution of the N particles on the real line and the speed of the particle cloud. Our results show that as we change the selection parameter, there is an interesting phase transition in these asymptotic properties. This is joint work with Colin Desmarais, Bastien Mallein, Francesco Paparella and Emmanuel Schertzer.