Working Student Industrial Drilling Systems (mfd)

Company:

About the role

We are looking for an Working Student to support the development of digital infrastructure concepts for industrial drilling systems. The focus of the role is to understand how machine and process data are generated in a PLC-controlled drilling setup how these data should be structured and stored and how they can be transferred into OEM-side systems for further use.

The Working Student will support work at the interface of manufacturing automation and data engineering. A key objective is to enable structured usable and traceable drilling data that can support process analysis and performance monitoring.

Job details:

• The Working Student will be 80% of working time at the Technical University Munich and 20% at the Boeing Munich Office.

• Working Hours: 20h per week during semester and 40h per week during semester break.

• Contract Duration: 6 months.

Position Responsibilities:

• Support the analysis of a PLC-controlled drilling setup in a supplier environment

• Help identify relevant metadata to be captured during drilling operations

• Support the definition of a suitable data model for storage traceability and later analysis

• Contribute to concepts for data flow from the supplier-side machine environment to OEM-side infrastructure

• Help assess how the digital setup can be aligned with OEM requirements for integration and data handling

• Support the preparation of structured data for downstream analysis and generation of process-related metrics

• Assist in documenting interfaces information flow and technical requirements for future implementation

Basic Qualifications (Required Skills/Experience):

• Currently enrolled in a Bachelor/Master/PhD degree program as student

• Fluent English speaker

• Fluent German speaker

• Existing rights to work in Germany

Preferred Qualifications (Desired Skills/Experience):

• Currently enrolled in a Masters program in Mechanical Engineering Aerospace Engineering Manufacturing / Production Engineering Electrical Engineering Mechatronics or a related field

• Strong interest in digital manufacturing industrial automation and data-driven production systems

• Basic understanding of industrial control systems PLCs or machine automation

• Familiarity with handling technical datasets including process data and metadata

• Ability to think across system interfaces from machine-level data generation to higher-level data usage

• Structured analytical and self-driven way of working

Experience or academic exposure in one or more of the following areas is beneficial:

• Industrial communication and connectivity

• Data acquisition from machines or production systems

• Python or similar tools for data handling and analysis

• Manufacturing process monitoring

• Database concepts data structuring or traceability in production environments

• Siemens-based automation environments

Conflict of Interest:

Successful candidates for this job must satisfy the Companys Conflict of Interest (COI) assessment process

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Contingent Upon Award Program

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