PhD training in Engineering Sciences
University of Innsbruck
Innsbruck, Austria
vor 6 Tg.
source : Euraxess

PhD training in Engineering Sciences

DOCC is an interdisciplinary Marie Skłodowska-Curie COFUND doctoral programme at the University of Innsbruck that will train 15 PhD students for 3 years on modelling and simulation of complex dynamical continuum systems .

DOCC prepares Europe's next top modellers to link simulations and the real world within a multi-disciplinary environment, by providing beyond essential technical expertise also the training in key abilities to communicate and transfer methods and results.

The Unit of Applied Mechanics () offers for a period of three years a PhD fellowship in the frame of DP DOCC (

Proposed projects :

Reliability analysis of high-speed railway bridges (CDA-1)

The objective is to assess the reliability of railway bridges subjected to high-speed trains. Models of dynamic vehicle-bridge-track-subsoil interaction at different scales will be developed.

Analyses require the application of high-performance computing. Nonstandard stochastic methods such as subset simulation or line-sampling with small estimator variances will be used.

Smart control of earthquake excited non-linear base-isolation systems (CDA-2)

The objective is (i) to explore the applicability and efficiency of tuned vibration absorbers to reduce the seismic displacement demands of nonlinear base isolation systems such as curved surface sliders, and (ii) to develop efficient optimization strategies for the nonlinear hybrid control systems investigated.

Due to the random nature of the nonlinear system response, probabilistic methods will be used to compute the required seismic capacity of the control scheme, considering the stochastic uncertainty of the system parameters.

Project proposed by the candidate : Please contact the future supervisor, Prof. Christoph Adam (

Admission Requirements : Master’s degree (or equivalent) in civil engineering (preferred) or mechanical engineering. A solid background in computational mechanics and structural dynamics as well as excellent computing skills are beneficial.

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