Scrum master Jobs in Recklinghausen

The Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG conducts research at seven locations across Germany in the fields of integrated energy infrastructures, geothermal energy, and sector coupling to support a successful energy transition. Our institution performs applied research, develops innovative technologies for public and industrial clients, and transfers research results into market-ready products, processes, and solutions.

Within our Competence Center for »Monitoring and Artificial Intelligence«, we develop innovative solutions for the monitoring, analysis, and optimization of energy infrastructures and geothermal systems. Our work focuses on artificial intelligence, large-scale data analytics, predictive modeling, and intelligent monitoring systems for future energy technologies.

Be part of change

• Conducting literature reviews and evaluating state-of-the-art approaches in Machine Learning and Deep Learning
• Performing data preprocessing, feature engineering, and exploratory data analysis on real-world datasets
• Developing and implementing AI models, including neural networks, transformer architectures, and tree-based methods
• Training, validating, and optimizing machine learning models through hyperparameter tuning and performance evaluation
• Applying developed approaches to industrially relevant energy and geothermal use cases
• Documenting research results and presenting findings within the project team

What you contribute

• Enrollment in a Master's program at a German university in Engineering, Computer Science, Mathematics, Data Science, or a related STEM discipline
• Knowledge of Machine Learning and Deep Learning methods
• Experience with Python and common machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn
• Interest in data-driven research, predictive analytics, and AI applications for energy technologies
• Strong analytical skills and a structured, independent way of working
• High level of motivation and willingness to familiarize yourself with new scientific topics
• Good communication skills and the ability to work collaboratively in an interdisciplinary research environment

What we offer

• Opportunity to contribute to cutting-edge research in the fields of Artificial Intelligence, Monitoring Technologies, Geothermal Energy, and Sustainable Energy Systems
• Active involvement in real-world research projects addressing challenges of the energy transition
• Close collaboration with experienced researchers and interdisciplinary teams
• Freedom to contribute your own ideas and explore innovative AI approaches
• Opportunity to conduct your Master’s thesis within an ongoing Fraunhofer research project
• Access to modern tools, research infrastructure, and industry-relevant datasets
• Flexible working hours and the possibility to work remotely within Germany
• A collaborative and international research environment that encourages innovation, scientific curiosity, and continuous learning

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. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. Remuneration according to the general works agreement for employing assistant staff.

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.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

If you have any questions regarding the job description, please contact:

Mehran Ahmadpour & Henning Knauer

If you have any questions about the application process, please contact:
Philipp Steinborn

Phone: +49 355 35540 172

Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG

Requisition Number: 84841 Application Deadline: