AI Researcher for Energy Transition
5 dni temu
At TN Poland, we are seeking an exceptional AI Researcher to join our team and contribute to the development of cutting-edge technologies for the energy transition.
About the RoleWe are looking for a highly motivated and experienced Research Scientist in Machine Learning to lead research and development projects creating artificial intelligence, machine learning, and automation solutions for the next generations of products and systems for power grids and green energy.
Your Responsibilities
- Develop and implement advanced machine learning algorithms and models to optimize energy management and predict energy demand.
- Collaborate with a global team of researchers and engineers to identify and solve real-world challenges in the energy sector.
- Maintain an up-to-date knowledge of state-of-the-art machine learning and artificial intelligence technologies.
- Propose and work on ideas and concepts of new approaches to solving optimization or control problems with business impact, turn them into prototypes and verify them.
- Network in the company and actively distribute your knowledge and expertise.
- Collaborate with local and global external partners including universities, open-source communities, startups, and vendors.
- Disseminate your results in scientific publications, patent applications, and technical reports.
Requirements
- Masters or PhD degree or equivalent industrial experience in Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Computer Science, or any related field.
- Experience with Data Science Programming Languages (Python and associated data science libraries) and Deep Learning Frameworks (Tensorflow, PyTorch).
- Experience in applying data science and AI/ML methods to solve practical problems. This includes selecting and explaining appropriate approaches, algorithms, and parameters based on the decision task and available data.
- Willingness to take an interdisciplinary approach, working with experts from different domains and integrating AI/ML approaches with physical modeling, analytical methods, and simulations.
- Experience that demonstrates your team-oriented, innovative, and strategic working styles.
- Fluency in English, both written and spoken.
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