PhD Studentships in Responsible AI for Net Zero (RAINZ CDT)
RAINZ Centre for Doctoral Training (CDT)
United Kingdom (multi-institutional programme)
The RAINZ Centre for Doctoral Training (CDT) offers fully funded PhD studentships focused on Responsible Artificial Intelligence (AI) for Net Zero. This innovative programme brings together leading UK universities, industry partners, and policymakers to train the next generation of researchers at the intersection of AI, sustainability, and climate action.
The programme is designed to address critical global challenges related to achieving net-zero emissions through the responsible development and deployment of AI technologies. Doctoral researchers will engage in interdisciplinary research spanning AI, data science, environmental science, energy systems, and policy. The CDT emphasizes not only technical excellence but also ethical, societal, and environmental considerations in AI innovation.
Students enrolled in the programme will benefit from a structured training pathway, including advanced technical instruction, transferable skills development, industry placements, and collaborative research opportunities. The programme fosters close engagement with industry and public sector partners, enabling researchers to apply their work in real-world contexts and contribute to sustainable innovation.
The CDT operates across multiple partner institutions, offering access to a broad academic network, cutting-edge facilities, and a collaborative research environment. Candidates will undertake original doctoral research aligned with the CDT’s thematic areas while receiving supervision from leading experts in their fields.
Eligibility Criteria
Applicants should hold, or expect to obtain, a first-class or upper second-class honours degree (or international equivalent) in a relevant discipline such as computer science, engineering, mathematics, environmental science, or a related field. A relevant Master’s degree may be advantageous. Applicants must also meet the entry requirements of the host institution and demonstrate a strong interest in AI and sustainability.
Required expertise/skills
Candidates should have a solid foundation in quantitative disciplines, including programming, mathematics, or data analysis. An interest in artificial intelligence, machine learning, and their application to environmental and sustainability challenges is essential. Strong analytical thinking, problem-solving ability, and a capacity for interdisciplinary collaboration are required. Effective communication skills and a commitment to responsible research and innovation are also important.
Salary details
Fully funded studentships including tuition fees and a tax-free stipend in line with UKRI rates, along with additional support for research training and development
Application Deadline
Varies depending on specific projects and cohorts