Internship (m/f/d) in “Development and Integration of Optimization Algorithms for Automated Composite Design”

Job description

Job Description:

CTC GmbH is looking for an

Intern (m/f/d) in “Development and Integration of Optimization Algorithms for Automated Composite Design”

For CTC GmbH in Stade, we are looking for students for practical assignments (internships),  the topic can subsequently be continued in the form of a bachelors or master thesis. The CTC GmbH is a wholly owned subsidiary of Airbus Operations GmbH. CTC is Germany's leading centre for research and development in the field of design and production of large and complex CFRP components; with an international reputation as an expert for process development, series readiness and production optimisation. The focus of the CTC's work is the development of series technologies for the production and assembly of CFRP components in aircraft construction. In the CTC, you can contribute to various projects in your area of focus and have a great deal of creative freedom. We look forward to receiving your application!

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Location: Stade

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Start: as soon as possible

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Duration: 3-6 months

Your location

You work at the Stade location. Experience the special flair south of the Elbe in your free time, close to the cosmopolitan culture of Hamburg.

Your benefits

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Work-life balance with a 35-hour week (flexitime).

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A final thesis is possible after consultation with the department.

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International environment with the opportunity to network globally.

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Work with modern/diversified technologies.

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At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.

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Opportunity to participate in the Generation Airbus Community to expand your own network.

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Support from an interdisciplinary team of fibre composite, simulation and process experts

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Direct contact and exchange with the scientific community 

Your tasks and responsibilities

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Explore and evaluate a range of optimization algorithms (e.g., metaheuristic, gradient-based, hybrid) for their effectiveness in complex composite material design challenges.

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Integrate promising optimization algorithms into our existing Python-based toolbox and Grasshopper-driven workflows for automated Variable Angle Tow (VAT) composite design.

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Apply these integrated algorithms to optimize composite components (2D and 3D), testing their ability to achieve design goals like weight reduction while respecting structural and manufacturing (AFP) constraints.

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Conduct in-depth benchmarking and comparative analysis of different optimization algorithms' performance, efficiency, and robustness within the established automated design environment.

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Refine path planning and material deposition strategies for composite materials by leveraging the insights gained from applying advanced optimization techniques.

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Collaborate closely with our team, sharing your findings on algorithm performance and contributing to the enhancement of our design and optimization processes.

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Document your implementations and analyses, contributing to best practices for applying optimization algorithms in automated composite design for aerospace.

 Desired skills and qualifications

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Enrolled full-time student in the area of Engineering (Mechanical, Aerospace, Computational, Lightweight), Computer Science, Applied Mathematics, or a comparable field with a clear emphasis on optimization

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Proficient programming skills in Python, with experience in developing and implementing algorithms

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Experience or demonstrable aptitude with Rhinoceros 3D and Grasshopper for parametric design and workflow automation

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Solid knowledge of composite materials, their design principles (e.g., for VAT laminates ), and manufacturing considerations (e.g., AFP )

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Good knowledge of Finite Element Analysis (FEA) software would be a plus.

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Strong analytical abilities and a methodical approach to problem-solving and willing to work independently and on your own responsibility

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Willingness to pass on own competences in a team and to exchange skills with each other

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Language skills: Very good English and preferably good German skills

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate. 

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This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:
CTC GmbH

Employment Type:
Internship

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Experience Level:
Student

Job Family:
Support to Management

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