PhD Studentships in Engineering, Computing and Mathematics

General Description:
The University of Plymouth is offering a range of postgraduate research studentships within the School of Engineering, Computing and Mathematics. These opportunities are designed to support high-quality research across a broad spectrum of disciplines, including engineering, robotics, artificial intelligence, cybersecurity, data science, applied mathematics, and sustainable technologies.

The School hosts a vibrant and interdisciplinary research environment, with access to advanced laboratories, specialist equipment, and strong collaborations with industry and academic partners. Studentships are aligned with key research themes such as digital innovation, autonomous systems, advanced manufacturing, environmental sustainability, and computational modelling.

Successful candidates will undertake independent research under the supervision of experienced academics, contributing to innovative projects that address real-world challenges. Responsibilities include conducting original research, publishing findings in peer reviewed journals, participating in conferences, and engaging with the wider research community.

These studentships may be fully or partially funded, depending on the specific project, and provide an opportunity to develop advanced technical expertise and transferable research skills within a supportive academic setting.

Eligibility Criteria:

• A first class or upper second class honours degree (or equivalent) in a relevant subject area such as engineering, computer science, mathematics, or a related discipline
• A master's degree in a relevant field is desirable for some projects
• Strong interest in research aligned with the School's thematic areas
• Ability to undertake independent research and critical analysis
• Good written and verbal communication skills
• International applicants must meet the University's English language requirements

Required Expertise/Skills:

• Subject specific knowledge relevant to the chosen research area
• Analytical and problem solving skills
• Research methodology and data analysis capabilities
• Programming skills (for computing and data focused projects)
• Laboratory or experimental skills (for engineering focused projects)
• Scientific writing and presentation skills
• Ability to work collaboratively in multidisciplinary environments

Salary Details:
Funding varies by project; may include full or partial tuition fee coverage and a stipend in line with UKRI rates (where applicable)

Application Deadline:
Varies by individual studentship/project