Student Assistant - Artificial Intelligence in the field of additive production control systems
Hamburg, DE, 21029
Fraunhofer-Gesellschaft
Die Fraunhofer-Gesellschaft mit Sitz in Deutschland ist eine der führenden Organisationen für anwendungsorientierte Forschung. Im Innovationsprozess spielt sie eine zentrale Rolle – mit Forschungsschwerpunkten in zukunftsrelevanten...The Production Control Systems Team is working on the deployment of rule-based and data-driven algorithms for production planning, digital assistance systems, and the general development of AI solutions for additive manufacturing. Additive manufacturing has demonstrated its potential in various industries through the economical production of custom-tailored components. However, the qualification of new materials for additive manufacturing processes is an iterative and resource-intensive process. The challenge addressed by AddiBase lies in the efficient management and analysis of the extensive data generated during this process. There is a lack of standardized and automated systems that enable fast, reliable, and cost-effective material qualification.
The Fraunhofer Research Institution for Additive Production Technologies IAPT in Hamburg Bergedorf is one of the leading institutions for the industrialization of additive production. We focus primarily on socially relevant sectors such as life sciences, energy, mobility and security. Our research ranges from component design and processes to factory planning and digitalization: we look at the entire production route. Numerous spin-offs and patent applications underline the value of our innovations.
What you will do
- Development of database structures for the utilization in material qualification
- Support in daily business: research of new topics, preparation of presentations in additive manufacturing
- Development of computer vision-based AI solutions for AM
- Research on scientific publications and activities in the field of additive manufacturing, computer vision, and machine learning
- Support in preparing research results for scientific publications, marketing, and documentation
- Maintenance and documentation of the codebase
- Support in daily business research of new topics, preparation of presentations
What you bring to the table
- Enrolled as a student in engineering, computer science or equvivalent
- Basic knowledge in the field of databases (SQL / NoSQL / Knowledge Graphes etc.), basic programming skills (Python), Knowledge of Microsoft Office Suite
- Basic knowledge in the field of additive manufacturing is an advantage
- Interest in scientific work
What you can expect
- A varied, exciting job at the interface between research and industry
- Participation and co-authorship in scientific publications
- Opportunity for working on project or master thesis
- Close supervision and support in all activities
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Scope for the implementation of innovative ideas
Remuneration according to the general works agreement for employing assistant staff.
The weekly working time can be arranged individually with a maximum of 20 hours.
The position is initially limited to one year. However, we are interested in a longer-term collaboration.
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
Questions will be answered by
Dr. Maximilian Vogt
Telefon: +49 40 484010 -749
Fraunhofer Research Institution for Additive Manufacturing Technologies IAPT
Requisition Number: 76594 Application Deadline:
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Computer Vision Engineering Machine Learning NoSQL Python Research Security SQL
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