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ETC is an international high-tech company whose core business is the development, manufacturing, and installation of gas centrifuges for uranium enrichment. ETC also supplies its customers with aluminum piping and provides project management, plant design, and engineering services. This makes ETC a highly specialized provider within the nuclear energy industry, making a significant contribution to low-carbon nuclear energy supply in numerous countries around the world. The company operates to the highest safety standards and protects its sensitive technology responsibly.
ETC and its subsidiaries are also active in other market segments. Pronexos is an ETC company that offers specialized manufacturing products and services for high-tech industries with a particular focus on carbon fiber products. Stornetic provides high-quality technology solutions in the form of flywheel systems with a focus on sustainable energy supply.
ETC currently employs around 800 staff across its five locations in Capenhurst (United Kingdom), Jülich (Germany), Almelo (Netherlands), Tricastin (France), and Eunice (USA), and is growing due to increasing global demand for low-carbon energy.
### Responsibilities:
- Programming machine learning algorithms in Python
- Combining modern machine learning methods with simulation data from 3D CFD simulations
- Analyzing and developing meta-models based on CFD simulations of compressors
- Goals of the work:
- Creating efficient, data-driven models to represent complex flow processes
- Reducing the computational effort of numerical optimization while maintaining model accuracy
### Requirements:
- Degree in engineering, computer science, physics, or a comparable field
- Interest in data-driven optimization methods
- Basic understanding of numerical simulation and thermodynamic processes, fluid mechanics, or heat transfer
- Experience with Python and machine learning libraries (e.g. TensorFlow, PyTorch, Scikit-Learn)
- Analytical thinking and a structured working approach
If interested, we look forward to receiving your application via the following link: [Job | ETC](https://www.enritec.com/de/karriere/stellenangebote/job/?id=246)
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Source: Bundesagentur für Arbeit — BA Jobbörse (ref: 10001-1002774190-S). GermanyTalent is not affiliated with the Bundesagentur für Arbeit or the employer. Always verify current job details directly with the employer.