RFCSR

Location Guildford, Surrey, United Kingdom General Description The University of Surrey is offering a fully funded PhD studentship in Computer Science, providing an opportunity to undertake original research in a vibrant and interdisciplinary academic environment. The studentship covers a wide range of topics in computer science, including artificial intelligence, machine learning, data science, cybersecurity, human-computer interaction, and software engineering. The successful candidate will be integrated into the Department of Computer Science, benefiting from access to world class facilities, expert supervision, and opportunities for collaboration across academia and industry. The PhD programme is designed to foster independent research skills while supporting professional development through seminars, workshops, and training in research methods and transferable skills. The studentship includes opportunities for publications, conference attendance, and engagement with the broader research community. Candidates will contribute to advancing knowledge in their chosen research area and will participate in collaborative projects that may involve industry partners. Eligibility Criteria A first class or upper second class undergraduate degree in computer science, software engineering, or a closely related discipline A relevant Master's degree is desirable but not essential Strong academic record and demonstrated interest in research Ability to undertake independent research and manage a doctoral level project Required Expertise/Skills Solid foundation in computer science principles relevant to the chosen research area Proficiency in programming languages such as Python, Java, C++, or equivalent Analytical and problem solving skills Strong written and verbal communication skills Ability to work both independently and collaboratively within a research team Interest in interdisciplinary research and innovation Salary Details UKRI stipend for full time students, covering tuition fees and an annual tax free stipend (exact amount per UKRI rates)

General Description University College London (UCL) is recruiting a Research Fellow in Health Data Science to join a leading research team focused on leveraging large-scale health data to address critical challenges in public health and clinical research. This role is situated within a multidisciplinary environment, contributing to innovative projects that integrate data science, epidemiology, and healthcare research. The successful candidate will work on the analysis of complex health datasets, including electronic health records and linked population data, to generate insights into disease patterns, healthcare delivery, and outcomes. The role involves developing and applying advanced statistical and computational methods, including machine learning approaches, to support high-impact research. The postholder will collaborate with clinicians, statisticians, and data scientists across UCL and partner institutions, contributing to study design, data acquisition, analysis, and interpretation. Responsibilities also include producing high-quality academic publications, presenting findings at conferences, and supporting grant applications. The role offers significant opportunities for professional development within a globally recognised academic institution. Eligibility Criteria PhD in a relevant discipline such as health data science, epidemiology, statistics, computer science, or a related field Experience working with large-scale health or biomedical datasets Demonstrated track record of academic research and publication Required Expertise/Skills Strong programming skills in languages such as R, Python, or similar Experience with statistical modelling and machine learning techniques Ability to manage and analyse complex datasets, including data linkage Knowledge of health data governance, ethics, and data security Strong analytical, problem-solving, and organisational skills Excellent written and verbal communication skills Ability to work collaboratively within multidisciplinary teams Salary Details £41,374 to £49,421 per annum, inclusive of London Allowance

A leading research institution in Greater London is seeking a Research Fellow in Health Data Science to join a multidisciplinary team. The role involves analyzing large health datasets, applying advanced statistical methods, and collaborating with experts to contribute to public health research. The ideal candidate will have a PhD and strong skills in programming and data analysis. This position offers a competitive salary and opportunities for extensive professional development within a prestigious academic environment.

A prominent UK university in Plymouth is offering PhD studentships in Engineering, Computing, and Mathematics. Successful candidates will conduct independent research on innovative projects, publish findings, and engage with the academic community. Candidates should have a strong educational background in engineering, computer science, or mathematics. Funding may include full or partial tuition coverage and a stipend, depending on the project.

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