The PhD topics are devised such that up to six PhD students constitute a study group. We envision to have three study groups targeting the core aspects of our three areas R1-R3 in particular with a focus on the benchmark applications and three additional study groups on the interfaces between the research area:
- R1-R2: Sparsity and sensitivity, first discretise vs. first optimise
- R1-R3: Feature reconstruction and discrepancy with tolerance
- R2-R3: Non-linearity decomposition and data based modelling
The study groups serve several purposes of supervision, training and social interaction. We expect that the study groups evolve into becoming scientific siblings in the sense that the PhD students understand and follow the scientific progress of the different PhD theses. The self-organized study groups are an instrument for internal discussions and exchange of experiences among the PhD students. They are also the core units for organising workshops, suggestions on the guest programme, and proposing conference visits.