Inverse problems, which seek to interpret indirect measurements of an unknown, arise in multiple contexts. Examples include studying the Earth’s internal structure from earthquake data, medical imaging methods such as MRI and X-ray, satellite data modelling and analysis, and non-destructive testing of physical structures.
Being highly sensitive to measurement errors and modeling inaccuracies, inverse problems require specialised expertise and the development of new mathematical methods for accurate computation. The FAME Flagship has its roots in Finland’s vibrant inverse problems community and internationally leading research on inverse problems.
Mathematics in general, and inverse problems in particular, are instrumental for the modern data and algorithm-powered societies. As part of their efforts to push forward the next generations of skilled specialists in this essential field, the seven partner universities of FAME have set up the Inverse Problems Network, aiming to make their studies related to inverse problems available for all doctoral students across the network.
Registration to courses is possible via SISU (Aalto University, LUT University, Tampere University, University of Helsinki, and University of Jyväskylä) or PEPPI (University of Eastern Finland and University of Oulu). The network is coordinated by the University of Jyväskylä.
For more information: Inverse Problems Network – FAME Flagship
