Scientific Data Management Software Developer
4 settimane fa
The Advanced Scientific Computing (ASC) division at the Institute for Earth System Predictions (IESP) is seeking a talented Junior software developer to join a dynamic working environment. The successful candidate will be responsible for the development of data management solutions for handling large and heterogeneous climate/environmental data sources, including the implementation of AI-driven algorithms, dashboards for Decision Support Systems, and mobile Apps for fleet management and forest health monitoring.
About UsCMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers. Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change.
Responsibilities- Develop data management solutions for handling large and heterogeneous climate/environmental data sources.
- Implement AI-driven algorithms, dashboards for Decision Support Systems, and mobile Apps for fleet management and forest health monitoring.
- Support the ASC Division with the development of data management solutions.
- M.Sc. degree in Computer Science or Computer Engineering or equivalent fields.
- 2+ years' experience in scientific software development.
- Proven experience in programming with Python and knowledge of Python scientific libraries and tools.
- Experience with platforms and frameworks for building web applications.
- Experience with the design and management of relational and non-relational databases.
- Experience with version control system tools.
- Experience with Linux environment.
- Experience on SDK Android and Xcode for iOS.
- Experience with the development of algorithms and software tools to process data acquired by drones, video cameras, and satellite images.
- Knowledge of Object-Oriented design and programming.
- Knowledge of domain-specific Python libraries.
- Experience in handling large datasets.
- Experience with containerization software.
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