Junior Research Groups To strengthen the support for excellent young researchers and to give them a head start in building their own research profile within the supportive environment of a large center, ECMath is funding three positions for heads of Junior research Groups in application driven mathematical research. The group leaders are also part of the BMS Postdoctoral Faculty. Optimization under Uncertainty PI: Dr. Guillaume Sagnol Technische Universität Berlin Institute for Mathematics Straße des 17. Juni 136 D-10623 Berlin, Germany Phone: +49 (0) 314 78846 Fax.: +49 (030) 314 21117 email: sagnol(at)math.tu-berlin.de The management of an operating theatre in hospitals, or of a supply chain network, raises extremely challenging mathematical decision problems. First, such planning and scheduling problems typically have a combinatorial nature (which resource should be allocated to which activity ?) which leads to an explosion of the number of solutions. Second, long-term decisions are impacted by future events which are often hard to foresee or to quantify. This is the case in the health care sector, where decision makers must deal with emergency arrivals or uncertain treatment durations. The sources of uncertainty are also many and varied in the industrial sector, e.g. the future demands of goods must be predicted, and service disruptions can affect a distribution network. It is therefore essential to compute planning strategies that cope with the uncertainty. Decision makers now have a very large amount of data available, but there is a need for intelligent systems that extract the useful information to handle the uncertainty and to make sound planning decisions. To achieve this goal, we develop new data-driven robust optimization frameworks. We are particularly interested in solution strategies which allow a certain amount of flexibility, in order to react adequately to unexpected events, and which take the correlations between those events into account.