— Assistance in the preparation and execution of experiments in the
high-power laser beam welding
— Pre-processing of the training data, including high-speed video
and X-ray images
— Development of an ML model for the prediction of porosity defect
— Literature research on current topics in welding technology

— Study experience of several semesters in the fields of Physical Engineering, Mechanical
Engineering, Material science or comparable. Very good basic knowledge in fluid mechanics or
machine learning will be a plus.
— Experiences in simulation and Programming skills (C language, Python, Fortran) are an advantage.

— Interdisciplinary research at the interface between politics, economics and society
— Work in national and international networks with universities, research institutes and industrial
companies
— Outstanding facilities and infrastructure
— Equal opportunities

Please send your application to the following address: xiangmeng.meng@bam.de by 15.12.2024. Please attach detailed application documents to the email as a summarised file in PDF format (max. 20 MB).

Please note that all application documents will only be stored and processed for the selection procedure. Upon conclusion of the selection procedure, the documents will be deleted in compliance
with regulations on data privacy.

Dr. Xiangmeng Meng will be glad to answer any specific questions you may have. Please get in touch
by email to xiangmeng.meng@bam.de.

BAM pursues equal opportunities. For this reason, we particularly welcome female applicants.
Recognised disabled applicants with identical suitability will be selected preferentially.