Research assistant in the field of mechanical engineering, mechatronics, information technology in mechanical engineering, physical engineering or comparable (m/f/d)

The Federal Institute for Materials Research and Testing (BAM) is a federal scientific and technical authority based in Berlin. As a departmental research institution of the Federal Ministry for Economic Affairs and Energy, we examine and advise on the protection of people, the environment and property. Our activities in materials science, materials technology and chemistry focus on the technical safety of products and processes.

Become part of our team of dedicated employees! In order to strengthen our team in the “Additive Manufacturing of Metallic Components” department in Berlin-Steglitz, we are looking for the next possible time

Projektleiter (m/w/d) der Fachbereich Maschinenbau, Mechatronics, Informationstechnik im Maschinenwesen, Physikalische Ingenieurwissenschaft or comparable Payment group 13 TVöD Time contract until 31.03.2029 Full time/parttime

The tasks include the independent planning, coordination and implementation of a project in the field of the digital quality assessment of additively manufactured (AM) metallic aircraft components in cooperation with partners from the economy as part of an aviation research programme (LuFo VII). The task area focuses on the development and application of a data analysis framework for the temporal and spatial segmentation of process and ISPM data. It is intended to develop a merged multimodal representation of a PBF-LB/M model cycle with reduced data scope as a basis for statistical process control or digital further processing. In addition to the multimodal data fusion and evaluation, on a single system basis, the evaluation of a data base of an already installed melting bath monitoring system (Melt Pool Monitoring, MPM) obtained in experiments is part of the task. In detail, the following tasks result: Coordination of work and common visibility of results with the participating project partners from science and industry Extension of an existing NoSQL backend to a data warehouse of a PBF-LB/M process chain by integration of ISPM and computer tomography data sets Development of clients for defined interrogation routines with the aim of representing signals from the data warehouse for any PBF-LB/M components in a spatially and temporally variable resolution in a voxel domain. This includes the development of algorithms for data synchronization, transformation and reduction into a uniform reference system taking into account geometric distortions and noise of the available signals. further development of clients for the targeted evaluation and visualization of the voxel domains of any PBF-LB/M component Planning and implementation of tests on a PBF-LB/M plant and its virtual machine (VM) Sensitivity analysis of an MPM system for systematic evaluation of the influences of process variables and events on the measurement behavior Analysis and evaluation of approaches to the detection of process anomalies in fused multimodal data Publication of results in national and international journals and at conferences and conferences Support for young scientists (according to student assistants and support for graduation)

Successfully completed academic studies (Diplom/Master) in the field of mechanical engineering, production engineering, mechatronics, engineering informatics, information technology in mechanical engineering, physical engineering or comparable Very good programming knowledge in Python Good knowledge of industrial communications architectures OPC UA, REST API, MQTT Advanced knowledge in NoSQL databases and desirable knowledge in handling data warehouses Good knowledge of German and English in word and writing Experience in handling versioning in GitLab, as well as CI/CD desirable knowledge of Voxel data models OpenVDB or QDrant Knowledge of the data model of PBF-LB/M Experiences in the field of powder bed-based additive manufacturing and ISPM, e.g. B. acquired by a graduate or professional activity Practical experience in handling plant engineering is advantageous Good communication and information behaviour, targeted and structured working, initiative/willingness to use and skills, team skills and willingness to cooperate and willingness to learn

A varied and demanding activity within a top-class network of politics, science, business and society Attractive and modern working environment with excellent infrastructure and equipment at the latest scientific level (Labore etc.) Possibilities of internal, cross-disciplinary networking and participation in team events A research and development space for own innovative ideas Open welcome culture, certified family-friendly working environment Good reconciliation of work and private life, possibility of mobile work [up to 60 %], flexible working time design, 30 days vacation and use up to 12 days of time compensation per year and parttime opportunities