About the role
AI summarisedThe role is for a Scientist in Computational Sustainability at the Institute of High Performance Computing (IHPC), focusing on developing computational models and data-driven solutions to address sustainability challenges. The scientist will work on interdisciplinary projects involving machine learning, data analysis, and simulation to support environmental and energy-related research.
ResearchFull-time
Key Responsibilities
- Develop and apply computational models and machine learning techniques to solve sustainability problems.
- Analyze large-scale datasets to extract insights related to energy, environment, and resource management.
- Collaborate with interdisciplinary teams to design and implement data-driven solutions.
- Publish research findings in peer-reviewed journals and present at conferences.
- Contribute to the development of software tools and platforms for sustainability analysis.
- Participate in grant writing and project proposals to secure research funding.
Requirements
- PhD in Computer Science, Data Science, Environmental Science, Engineering, or a related field.
- Strong background in computational modeling, machine learning, and statistical analysis.
- Proficiency in programming languages such as Python or R.
- Experience with large-scale data analysis and visualization.
- Excellent communication and collaboration skills.
- Demonstrated ability to publish research in high-impact journals.
- Knowledge of sustainability principles and environmental systems is preferred.