PhD Studentships in Engineering, Computing and Mathematics

RFCSR; Plymouth; On-site; GBP 18,000 - 21,000; Full time

Benefits offered by this job

Funding varies by project

Stipend in line with UKRI rates

Job summary

University of Plymouth invites applications for PhD Studentships in Engineering, Computing and Mathematics. Projects span engineering, robotics, AI, cybersecurity, data science and applied mathematics, with strong industry and academic collaborations.

Successful candidates will conduct independent research under supervision, publish findings, and participate in conferences. Funding may cover tuition and a stipend per UKRI rates, depending on the project.

Qualifications

• First-class or upper-second honours in engineering, computing, mathematics or related field.
• Master’s degree in a relevant field is desirable for some projects.
• Strong interest in research and ability to work independently.

Responsibilities

• Undertake independent postgraduate research under supervision.
• Publish findings in peer-reviewed journals and present at conferences.
• Engage with the research community and collaborators across disciplines.
• Develop advanced technical expertise and transferable skills.

Skills

Programming skills

Analytical thinking

Research methodology

Data analysis

Scientific writing

Team collaboration

Education

First-class or 2:1 honours

Master's degree desirable

Tools

Laboratory equipment

Job description

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