Software Developer with Data Science Expertise in Energy System Modelling 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. Project background 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. Job description 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. Profile 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. Workplace We offer 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 We value diversity In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application with the following documents: Research statement CV Names and email addresses of at least two people for reference letters Copies of degree certificates and the associated grades Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about Research Center for Energy Networks and can be found on our websites. Questions regarding the position should be directed to Dr. Turhan Demiray, the Director of the Research Center for Energy Networks (FEN) via e-mail: demirayt@ethz.ch (no applications). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. For recruitment services the GTC of ETH Zurichapply. About ETH Zürich 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. If you apply for this position please say you saw it on Computeroxy

Software Developer with Data Science Expertise in Energy System Modelling

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.

Project background

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.

Job description

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.

Profile

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.

Workplace

We offer

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

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

We look forward to receiving your online application with the following documents:

Research statement
CV
Names and email addresses of at least two people for reference letters
Copies of degree certificates and the associated grades

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about Research Center for Energy Networks and can be found on our websites. Questions regarding the position should be directed to Dr. Turhan Demiray, the Director of the Research Center for Energy Networks (FEN) via e-mail: demirayt@ethz.ch (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

For recruitment services the GTC of ETH Zurichapply.

About ETH Zürich

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.

If you apply for this position please say you saw it on Computeroxy

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