Pflichtpraktikum - Data Science and Deep Learning for Energy Systems
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Job description
Pflichtpraktikum - Data Science and Deep Learning for Energy Systems
Mode of Employment: Fixed Term / Full-Time
Are you ready to shape the future of energy systems with cutting-edge data science and deep learning? Join us as an intern (f/m/d) in Munich and dive into innovative research on transfer learning, multimodal approaches, and AI-driven forecasting that will drive real change in the energy transition!
What we offer you
- Exciting insights into various business areas and fields of activity
- Challenging and practical project tasks where you can apply and expand your knowledge
- Individual support and mentoring from experienced mentors
- The opportunity to actively contribute to ongoing projects
You'll make an impact by
- You actively support literature research on transfer learning and multimodal approaches relevant to energy system forecasting
- Building on these insights, you investigate the applicability of foundation models to various types of energy data
- Subsequently, you contribute to the development and adaptation of transfer learning methods tailored for cross-domain forecasting scenarios in energy systems
- Moreover, you help implement multimodal learning frameworks that combine time series, topological, and contextual data to enhance prediction accuracy
- Finally, you participate in designing simulation studies and analyzing the explainability of multimodal models within the context of modern energy systems
This is how you'll win us over
- Education: You are currently enrolled in a Master's program in electrical engineering, energy engineering, computer science, data science, industrial engineering, or a related field
- Experience and Skills:
- You have a solid foundation in statistics, mathematics, and data analysis
- You are experienced in programming with MATLAB, Python, C#, or equivalent languages
- Prior experience with machine learning frameworks such as TensorFlow or PyTorch is an advantage
- Ways of Working: You demonstrate pro-activeness, a strong willingness to learn, and an interest in personal growth
- Languages: Very good English skills are required
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let's get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.
About Us
The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.
www.siemens.de/careers - if you would like to find out more about jobs & careers at Siemens.
FAQ - if you need further information on the application process.
#sagintern
Requirements
- Education: You are currently enrolled in a Master's program in electrical engineering, energy engineering, computer science, data science, industrial engineering, or a related field
- Experience and Skills:
- You have a solid foundation in statistics, mathematics, and data analysis
- You are experienced in programming with MATLAB, Python, C#, or equivalent languages
- Prior experience with machine learning frameworks such as TensorFlow or PyTorch is an advantage
- Ways of Working: You demonstrate pro-activeness, a strong willingness to learn, and an interest in personal growth
- Languages: Very good English skills are required
