Die Bergische Universität Wuppertal ist eine moderne, dynamische und forschungsorientierte Campusuniversität mit interdisziplinär ausgerichteten Profillinien in Forschung und Lehre. Gemeinsam stellen sich hier mehr als 24.000 Forschende, Lehrende und Studierende den Herausforderungen in den Bereichen Gesellschaft, Kultur, Bildung, Ökonomie, Technik, Natur und Umwelt. In the Faculty of Mechanical and Safety Engineering, at the Chair of Fire Dynamics, a position as invites applications for Research Assistant (Ph.D. student or Postdoc) This position is to be filled as soon as possible for up to 3 years. The position is to be filled with 100% of the tariff working hours (Part-time is possible, please state when applying whether you would also be interested in a part-time job) Salary: E 13 TV-L At the chair of “Fire Dynamics” we are an interdisciplinary and international team and are looking for support for our research work in the field of fire simulation. In numerical fire simulations, design fires are often used to determine the impact of the fire to the surrounding objects. However, this fire curve is predefined and does not allow to account for local conditions such as ventilation, heat interaction or material properties during fire propagation. For this detailed pyrolysis models need to be combined with combustion models and detailed flow calculations. These calculations, and even the derivation of the required material parameters, are associated with a high computational and time expenditure along with high uncertainty, so that in projects, e.g. vehicle projects in the railway industry, correspondingly high costs (and energy consumption) can arise throughout the entire development phase. Within the framework of the BMBF-funded BESKID project, AI approaches, i.e. methods based on artificial intelligence, are being investigated in order to reduce these immense computing times. The research into AI methods for determining the material parameters for pyrolysis modelling is supervised in the research project by the chair of "Computational Civil Engineering". AI methods for the reduction of the entire CFD calculation for the extreme fast fire spread calculation will be researched on the basis of Kl-based reduced order models at the chair for "Fire Dynamics" within the framework of the project. There will thus be a close exchange between the two chairs. In addition, there is close cooperation with industrial partners from railway industry and the Jülich Research Centre, where primarily the validation experiments take place. Professional and personal requirements: Completed university studies (Master's degree or comparable) in (chemical/physical) engineering, physics or applied mathematics Expertise in the design and implementation of scientific simulation models and machine learning Extensive experience in the field of reduced order modelling is desirable Very good knowledge of programming with Python or C++ Good experience with open-source based flow calculations (e. g. OpenFOAM) Willingness to work in an interdisciplinary and international team Strong interest in complex issues and basic research Social and communicative competence Good knowledge of German and very good knowledge of English (written and spoken) Responsibilities and duties: Development and use of Kl-based computer models in fire dynamics with the focus on reduced order modelling Evaluation of experimental data for model validation Cooperation in national and international cooperations Presentation of results at meetings and conferences Preparation of interim and final reports Our offer: Further training in the acquisition, processing and management of research projects Particularly in the case of a doctorate, support for further academic development; e. g. also involvement in personnel management and university teaching Embedding research activities in an interdisciplinary and international research environment Possibilities for flexible working hours, support with childcare and suitable solutions for your individual life situation This is a qualification position within the meaning of the Wissenschaftszeitvertragsgesetz (WissZeitVG), which can be filled to promote the following scientific or artistic qualification: Acquisition of professional experience in the implementation of the project "BESKID". The duration of the employment contract shall be appropriate to the academic qualification sought. Reference number: 22706 Applications including all relevant credentials (motivation letter, CV, proof of successful graduation, job references) should be addressed to Prof. Dr. Fabian Brännström and solely submitted via the online portal of the University of Wuppertal: https://stellenausschreibungen.uni-wuppertal.de. Kindly note, that incomplete applications will not be considered. The University of Wuppertal is an equal opportunity employer. Applications from persons of any gender are highly welcome. In accordance with the Gender Equality Act of North Rhine-Westphalia women will be given preferential consideration unless there are compelling reasons in favour of an applicant who is not female. The same applies to applications from disabled persons, who will be given preference in the case of equal suitability. Application deadline: 2023-02-22
Bergische Universität Wuppertal
42103 Wuppertal, DE
