Machine Learning Researcher in Landscape Regeneration
4 weeks ago
Research Opportunity: We are seeking a highly motivated Research Assistant/Associate to join our team at the University of Cambridge.
About the Role: The successful candidate will work as part of the Centre for Landscape Regeneration (CLR), a flagship research programme that aims to provide knowledge and tools for regenerating the British countryside using cost-effective nature-based solutions.
Key Responsibilities:
- Develop machine-learning based approaches to advance the core objectives of the project.
- Lead the research to identify optimal land management solutions for delivering food production, nature conservation, and greenhouse gas emissions reductions.
- Utilise machine learning techniques to model objective functions and infer optimal solutions.
- Conduct comprehensive climate change risk assessments and develop multi-fidelity approaches to synthesise different data sources.
Requirements: Eligible candidates must have a PhD in Computer Science or a related discipline, with a background in machine learning applied in an environmental science domain.
Working Arrangements: The successful candidate will be based in Cambridge and will have the opportunity to participate in a wide range of departmental and University activities.
Equality and Diversity: The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society.
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Cambridge, Cambridgeshire, United Kingdom University of Cambridge Full timeJob SummaryThe University of Cambridge is seeking a highly motivated Research Assistant/Associate to join the Centre for Landscape Regeneration (CLR) team. The successful candidate will work on developing machine-learning based approaches to advance the core objectives of the project, focusing on identifying optimal land management solutions for delivering...
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