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Working Student - Industrial Drilling Systems (m/f/d)

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2 days agoNewTech

Working Student - Industrial Drilling Systems (m/f/d)

Boeing

Munich, GermanyHybridEnglish & German

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Required skills
Data traceabilityMetadata managementIndustrial automationData modelingProcess data handlingDatabase conceptsSiemens-based automation environmentsIndustrial control systemsPLCPython
Job description
Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

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 Master’s 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 Company's Conflict of Interest (COI) assessment process

Applications for this position will be accepted until Apr. 18, 2026

Export Control Requirements:

This is not an Export Control position.

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

Not a Shift Worker (Germany)

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
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