Research Assistant in Critical Mineral Supply Chains and Machine Learning
A position exists for several Research Assistants in the Cambridge Critical Materials Lab (CCML), Department of Engineering, to work on critical mineral supply chains and machine learning as part of the Climate Compatible Growth (CCG) programme, funded by the UK's Foreign, Commonwealth and Development Office (FCDO). This aims to research sustainable energy and transport systems and critical mineral supply chains to meet development priorities in the Global South. The post holder will be in Central Cambridge, UK.
This is a full-time position offered on an initial fixed-term contract basis for six months. This position aims to start as soon as possible.
The funding for this role is for either 6 months or through until 31st March 2027, whichever of these comes soonest.
The key responsibilities and duties are:
- research into critical mineral supply chains
- modelling of supply chain risks
- scientific writing and reporting
- planning and organising
- project collaboration
The skills, qualifications and experience required to perform the role are:
- Master's degree level (1st or high 2:1 equivalent) in engineering from a top university
- knowledge and experience in investigating critical mineral value chains, network systems analysis, machine learning techniques
- using Python to create code
- using GitHub to collaborate and organise code
- exceptional writing skills across different contexts (research, media and policy)
- interpersonal collaborative skills
Salary Range: Research Assistant: £33,002 - £35,608
Fixed-term: The funds for this post are available until 31 March 2027 in the first instance.
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