PhD Opportunity: Computational Biomechanics and Medical Engineering at University of Leeds This fully-funded PhD project focuses on developing in silico tools for the virtual testing of patient-specific maxilla-facial implants, particularly temporomandibular joint (TMJ) replacements. The research is based in the Institute of Medical and Biological Engineering (iMBE), School of Mechanical Engineering, University of Leeds, and is conducted in collaboration with Attenborough Medical, a leading UK custom implant manufacturer. The interdisciplinary project integrates experimental biomechanics and computational biomechanical modelling, aiming to create validated computational tools for preclinical evaluation of bespoke TMJ implants. Advances in 3D medical imaging and additive manufacturing have enabled the design and 3D printing of patient-specific implants, which must be rigorously tested to ensure suitability for individual patients. The project will use finite element analysis (FEA) to simulate implant performance under physiological loads and validate these models with experimental data from 3D printed implants. Research Environment and Training You will join a dynamic, multi-disciplinary research group at iMBE, gaining technical skills in computational modelling, 3D image analysis, and experimental testing. Training will cover laboratory methods, health and safety, project management, scientific writing, and presentation skills. The environment encourages collaboration, public engagement, and participation in international conferences. Supervisory Team The project is supervised by Dr Pete Watson (Associate Professor), Dr Marlène Mengoni, Prof Sophie Williams, and Dr Flavia Pires Rodrigues, all at University of Leeds, with expertise in experimental and computational testing of medical implants. Eligibility and Requirements Applicants should have at least a first or upper second class British Bachelors Honours degree (or equivalent) in a relevant discipline such as biomechanics, mechanical engineering, or biomedical engineering. Experience in biomechanics, finite element analysis, 3D image analysis, or experimental testing is beneficial. Experience with human or animal tissue is advantageous but not essential. English language proficiency is required for non-native speakers. Required documents: full transcripts, personal statement, and CV. Funding The position is fully funded for UK citizens for 3.5 years by the University of Leeds School of Mechanical Engineering Studentship 2026/27, covering tuition and stipend. Application Process Apply online via the University of Leeds website for a PhD in Mechanical Engineering, specifying the project title and Dr Peter Watson as supervisor, and indicate the funding source. Contact supervisors for informal discussion before applying. The deadline is Friday 13 February 2026. Keywords: computational biomechanics, biomechanical modelling, finite element analysis, maxilla-facial implants, medical engineering, 3D image analysis, experimental testing, preclinical validation, mechanical engineering, biomedical engineering.

This fully funded PhD opportunity at the University of Leeds focuses on biomedical engineering, specifically the computational biomechanics of patient-specific maxillofacial implants. The project aims to develop and validate in silico tools for the preclinical evaluation of custom implants used in facial reconstruction, leveraging advances in 3D medical imaging and printing. The research will integrate experimental and computational techniques, including finite element analysis, to test and optimize implant designs for individual patients. The successful candidate will join the Institute of Medical and Biological Engineering (iMBE), a world-renowned center within the School of Mechanical Engineering, and work closely with clinicians from Leeds University Teaching Hospitals NHS Trust and industrial experts. Training will cover computational modelling, 3D image analysis, experimental testing, project management, scientific writing, and presentation skills. Applicants must be UK citizens with a strong academic background in engineering or physical sciences, and experience in biomechanics, FEA, or related areas is desirable. The funding covers tuition and a stipend for 3.5 years. The application deadline is 14 November 2025, with the project starting in October 2026. Interested candidates should apply online, specifying the relevant program and supervisor, and are encouraged to contact Dr Peter Watson for informal discussion. The university fosters an inclusive environment and encourages applications from diverse backgrounds.

This fully funded PhD opportunity at the University of Leeds focuses on developing in silico tools for the virtual testing of patient-specific maxilla-facial implants, specifically temporomandibular joint (TMJ) replacements. The project is based in the Institute of Medical and Biological Engineering (iMBE) within the School of Mechanical Engineering and is supervised by Pete Watson, Marlène Mengoni, Sophie Williams, and Flavia Pires Rodrigues. The research is conducted in collaboration with Attenborough Medical, a leading UK custom implant designer and manufacturer. The interdisciplinary project integrates experimental biomechanics and computational biomechanical modelling, including finite element analysis (FEA), to create and validate computational tools for preclinical testing of bespoke TMJ implants. Advances in 3D medical imaging and additive manufacturing have enabled the design and 3D printing of patient-specific implants, allowing for customization based on bone geometry, fixation methods, and clinical needs. The project aims to virtually test these implants under musculoskeletal forces associated with chewing and validate the computational models with experimental data from 3D printed implants. As a PhD student, you will gain technical skills in computational modelling, 3D image analysis, and experimental testing, as well as broader experience in preclinical testing of medical devices. Training will cover laboratory methods, health and safety, project management, scientific writing, and presentation skills. The research environment at iMBE is dynamic and multidisciplinary, offering opportunities for collaboration, public engagement, and professional development through conferences and group meetings. Applicants should have a strong background in biomechanics, biomedical engineering, mechanical engineering, or related fields. Experience with finite element analysis, 3D image analysis, or experimental testing is beneficial. Handling human or animal tissue is advantageous but not essential. The studentship is open to UK citizens only and covers 3.5 years of funding through the School of Mechanical Engineering Studentship 2026/27. The application deadline is Friday, 13 February 2026, with a project start date of 1 October 2026. To apply, submit an online application through the University of Leeds website, clearly stating the project title and supervisor, and include all required documents such as transcripts, a personal statement, and a CV. Applicants must meet the University's English language requirements if applicable. For further details, contact the supervisors for an informal discussion before applying.