Software Developer with Data Science Expertise in Energy System Modelling

FEN's research involves extensive use of diverse datasets and sophisticated modelling techniques to evaluate and optimize energy systems. We have developed in-house tools and utilize open-source datasets to support our research activities in various temporal, spatial and energy domains. To enhance our capabilities, we aim to integrate our modelling chain into a consistent framework and unify our datasets into a cutting-edge data structure, enabling seamless interoperability and advanced analytics., We are seeking an experienced Software Developer with data science expertise to play a key role in designing and implementing a consistent framework that integrates our existing in-house tools and the required datasets. The successful candidate will develop a unified data structure to manage, process, and provide access to diverse datasets relevant to energy systems and electricity grids, ensuring the scalability, interoperability, and robustness of the framework for various types of analysis. In this role, you will collaborate closely with researchers and domain experts to understand requirements and translate them into efficient software solutions, while also maintaining and improving data pipelines and contributing to the long-term capabilities of our research infrastructure. Another critical aspect of the task is setting up a reliable version control system and implementing industry-standard software development practices for our in-house tools.

• Education: Master's or PhD in Computer Science, Data Science, Software Engineering, or a related field.
• Experience: Proven track record in data engineering, software development, and integration of complex tools or systems.
• Technical Skills:

• Excellent programming skills (e.g., Python, C++, or similar).
• Experience with data management, database systems, and API development.
• Knowledge of software architecture, modular frameworks, and version control systems (e.g., Git).
• Familiarity with energy systems modelling or related domains is an advantage.

• Soft Skills:

• Excellent analytical and problem-solving abilities.
• Excellent communication skills and ability to work in an interdisciplinary team.
• Self-motivated, organized, and capable of driving projects independently.

80%-100%, Zurich, fixed-term

The Research Center for Energy Networks (Forschungsstelle Energienetze - FEN) of the Swiss Federal Institute of Technology, Zurich (ETHZ) acts as a bridge between academic research, industry, society and policy makers in the energy sector. FEN aims to shape the transition to a more sustainable, reliable and cost effective future energy system, by providing utilities, grid operators, industrial associations, and federal institutions with technology-neutral and independent quantitative analysis., * Working as a member of a highly motivated team of scientists

• Working in an international environment of established experts
• Opportunity to contribute to the Swiss energy transition
• Opportunity to make scientific publications

chevron_right Working, teaching and research at ETH Zurich

ETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.