Vacancies 2017-12-08T15:10:16+00:00

Current vacancies

The recruiters of Minds for Innovation have all been employed in the academic world and are happy to work with you for a new job within Academia or industry.

Below you will find all academic and non-academic vacancies. If you want specific search within a particular function group, use the search options on function group and / or keyword.

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PhD position Through-Process Modelling for Steel Product Development – Technical University of Delft, Delft (the Netherlands)

August 12th, 2018|Categories: Modeling & Simulation, PhD, Vacancies|Tags: , , , |

Introduction A great challenge when developing new steel products is the possibility to predict or control the surface condition during manufacturing and of the final product. Current predictions of the surface oxidation of steels are limited and mainly based on empirical relation. Hence, a generic model to predict thermal oxidation of steel strips in terms of composition of oxides, sequence of oxides, and amount of oxides depending on steel composition, temperature cycle and gas phase composition will be built. The oxidation induced diffusion of elements in a multi-element and multi-phase alloy will be simulated. First the model will be developed [...]

PhD: Modelling Bearing Steels for Wind Turbine Applications – Technical University of Delft, The Netherlands

August 2nd, 2018|Categories: Experimental research, PhD, Vacancies|Tags: , , , |

Introduction The case-carburized bearing versions have in the recent past shown premature failures in the form of Irregular White Etching Cracks (IrWEC). The performance of the bearings was falling short in terms of bearing life. This situation has led to an intensive investigation of many bearings and potential failure mechanisms were identified. Much effort was also given to finding the relation between failures and the steel processing routes. Until now, it has not been possible to quantify the effect of various upstream process parameters, such as ingot size and form, reduction ratio, density and type of non-metallic micro-inclusions, as well [...]

PhD: Unraveling the effect of microstructure statistics on failure of multi-phase steels (UNFAIL) – Eindhoven University of Technology (the Netherlands)

July 16th, 2018|Categories: Modeling & Simulation, PhD, Vacancies|Tags: , , , , |

Introduction This PhD vacancy concerns the numerical part of the project to unravel how the statistics of phase distribution and phase properties govern the strength and ductility of advanced multiphase alloys. This includes (i) detailed crystal plasticity simulations to unravel the mechanics of the fundamental damage processes at the smallest scale, (ii) meso-scale crystal plasticity simulations including mechanism-based microstructural damage models of real microstructures as well as statistical variations thereof, and (iii) numerical modeling and simulation of polycrystals in three dimensions to predict failure criteria such as forming and fracture limit diagrams. […]