Background
The Climate Compatible Growth (CCG) programme, funded by FCDO, develops open-source analytical tools, datasets, and modelling workflows that support low-carbon development planning worldwide. CCG delivers global public goods—such as open technology databases, standardised modelling platforms, and reproducible workflows—to strengthen national capacity and support FCDO Challenge programmes.
Project objectives
- Strengthen the technical capacity of the CCG partner, associate and affiliate countries to independently operate, update, and extend the CLEWs++ modelling tool, including the ability to modify model structures, configure new workflows, conduct techno-economic assessments, and interpret complex results without external support.
- Refine and expand the CLEWs++ model beyond its original NDC-focused configuration so it can support broader mitigation assessment, long-term planning, and net-zero scenario development, including enhanced sectoral detail, improved data structures, expanded mitigation options, and strengthened inter-sectoral linkages.
- Integrate co-benefits into the analytical framework, enabling first-order estimation of health, productivity, and natural capital impacts associated with mitigation actions, and embedding these calculations within the CLEWs++ model.
- Build a durable and repeatable modelling workflow that guides partner, associate and affiliate countries analysts through data preparation, model execution, and results interpretation—supported by automation tools, quality-control methods, and standard operating procedures.
- Develop and deliver capacity-building activities including tailored training materials, remote technical support, and in-person workshop delivery to ensure partner, associate and affiliate countries can fully utilise, maintain, and expand the updated model as they advance towards its Long-Term Strategy (LTS).
Task and Activities
1. Implement model expansion and structural revisions: Apply the structural updates defined by the senior modelling lead, including expanded sectoral detail, additional mitigation options, and improvements to fuel, industry and land-use modules. Conduct coding, debugging and iterative testing of the updated CLEWs++ model.
2. Integrate co-benefits into the model:
Implement the co-benefits methodology (health, productivity, natural capital) into CLEWs++, code the calculation routines, configure outputs and test the results across selected mitigation scenarios.
3. Prepare technical training materials and provide user support: Develop hands-on training exercises, annotated walkthroughs and model files. Support remote troubleshooting and assist with delivery of technical components during the in-person workshop.
4. Build workflow automation and support documentation: Develop automated scripts for data processing and parameter updates. Conduct reproducibility tests and provide the technical routines underpinning the workflow documentation.
5. Support coordination and quality assurance: Provide regular progress updates, address issues identified during review or stakeholder consultations, and maintain complete documentation of all code changes and assumptions.
It is estimated that this project will require 22 days of work.
Requirements
The ideal candidate will hold a master’s degree in Energy Systems, Data Science, or a related field.
Experience:
Proven expertise in directing multidisciplinary teams, managing full project cycles from proposal through implementation, and directly interfacing with high-profile clients to develop tailored solutions. Demonstrated ability to navigate complex consulting environments, fostering key client relationships, driving business development, and securing major.
Technical Skills:
- Capacity to integrate advanced modelling techniques into actionable client solutions and in aligning project outcomes with the strategic goals of leading consultancies, ensuring that insights are both innovative and aligned with the evolving needs of the energy sector
- Proficiency in data collection and organization, with a strong grasp of data validation and quality assurance practices
- Familiarity with clean energy technologies, including performance metrics, cost analysis, and business models
- Demonstrated capacity in data visualization tools (e.g., Tableau, Power BI) and data management software
Soft Skills:
- Proven expertise in directing multidisciplinary teams, managing full project cycles from proposal through implementation, and directly interfacing with high-profile clients to develop tailored solutions
- Demonstrated ability to navigate complex consulting environments, fostering key client relationships, driving business development, and securing major
- Strong analytical and organizational skills, with attention to detail
- Excellent communication and collaboration abilities, with experience working with diverse stakeholders
- A proactive, solution-oriented approach to problem-solving
Expressions of interest
- A CV clearly outlining your suitability for this position and previous relevant experience
- A support statement outlining your suitability for this position
- Confirmation that the consultant is able to obtain a professional insurance cover
Please forward your CV and supporting statement to Sara Wilson-Gallaher on S.Wilson-Gallaher@lboro.ac.uk by 12.00 (midday) on 19 May 2026.