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About Us The London Institute for Healthcare Engineering (LIHE) is part of the School of Biomedical Engineering & Imaging Sciences in the Faculty of Life Sciences & Medicine at King’s College London. It is a key component in delivering the vision for St Thomas’ MedTech Hub. The Institute is housed in a new building on the St Thomas’ campus, bringing together King’s research excellence with Guy's and St Thomas' NHS Foundation Trust’s leading clinical practice and the Medical Device sector’s commercial innovation power and talent, engaging multinationals, SMEs and start-ups simultaneously. Its vision is to accelerate the clinical impact of MedTech innovation by building robust MedTech ventures. It aims to become the hub of all MedTech activity in London and the UK by building a strong ecosystem of all key stakeholders in the industry. About the Role The Senior Health Technology Analyst leads high-quality evaluations of medical devices, including digital and AI-enabled technologies, to support LIHE’s mission of accelerating safe, effective and responsible MedTech innovation. The role reports to the Head of Clinical Translation and Governance and works within a multidisciplinary team that includes specialists in regulatory affairs, clinical trials, quality, and clinical governance, to provide analytical leadership for LIHE’s MedTech programmes, including the MedTech Venture Builder (MVB), King’s MedTech Accelerator (KMA), and MedTech Venture Kickstarter (MVK). The role combines expertise in health technology assessment (HTA), evidence generation, real-world evaluation, and AI/Software as a Medical Device (AI/SaMD) appraisal. The post holder will work with innovators (from academics to SMEs), clinicians, and NHS partners to assess value propositions, evidence needs, risks, and adoption pathways. They will also support programme design, contribute to thematic areas (digital health, surgery, AIaMD), and help generate insight that strengthens LIHE’s strategic positioning as a national MedTech hub. This is a senior technical and strategic role requiring autonomy, cross-functional collaboration, and the ability to translate analytical findings into strategic recommendations for innovators, LIHE leadership, and external partners. This is a full-time post (35 hours per week), and you will be offered a fixed term contract until 30/06/2027. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Undergraduate degree in biomedical engineering, health sciences, medical physics, applied data science, health economics, or a related field. Postgraduate qualification (MSc/PhD) in a relevant discipline. Significant experience in health technology assessment or evaluation of medical devices (including digital/AI technologies). Proven ability to analyse complex clinical and technical evidence, including real-world data and literature. Understanding of regulatory and standards frameworks for medical devices, including SaMD/AIaMD. Experience working with clinicians or within healthcare pathways to inform evidence generation. Excellent communication skills, including writing clear evidence reports for technical and non-technical audiences. Ability to work effectively within multidisciplinary teams and manage multiple concurrent projects. Desirable criteria Evidence of experimental protocol design for real-world evaluation of healthcare technologies. Experience with AI/ML model evaluation, bias assessment or dataset quality appraisal. Familiarity with NHS innovation pathways and UK healthcare system dynamics. Experience in programme delivery, innovation support, or working with early-stage MedTech companies. Skills in advanced literature searching, meta-analysis, or statistical appraisal. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £53,947 - £63,350 per annum (including London Weighting Allowance) Job ID: 133145 Close Date: 04-Jan-2026 Contact Person: Valentina Vitiello Contact Details: Valentina.vitiello@kcl.ac.uk

The University of Surrey has a strong legacy of pioneering research, real-world impact and graduate success. We are proud of the academic achievements of our three Faculties and our inter-disciplinary Institutes which together drive excellence in teaching, research and innovation. Our community of talented staff, students, partners and stakeholders has a long-standing record of producing graduates who go on to excel in their chosen fields. We are seeking a new Provost and Senior Vice-President to play a defining role in shaping Surrey’s academic future. Working closely with the President and Vice-Chancellor, Professor Stephen Jarvis, and the Executive Board, the postholder will provide strategic leadership across the university's academic mission, strengthening Surrey’s global profile and ensuring that research, education and innovation are aligned with the ambitions of Vision 2041. This is an exceptional opportunity to guide a university entering a period of significant growth and international influence. Surrey is a diverse, ambitious and welcoming community. We are looking for a leader with an outstanding academic profile and a track record of strategic leadership – someone with sound judgement, integrity and the ability to inspire collaboration across disciplines and communities.  For more information, including how to apply please visit https://plusportal.perrettlaver.com/ quoting reference 8182. The closing date for applications is midnight on Sunday 25th January 2026. Perrett Laver will hold interviews in February. The final selection process will take place w/c 9th March 2026. Perrett Laver would be delighted to speak with any interested individuals and welcome all exploratory discussions. If you would like to discuss this opportunity further or have any questions about the role, please contact Thomas Cameron at Thomas.Cameron@perrettlaver.com. For a conversation in confidence or should you require access to these documents in alternative formats, please contact Thomas. If you require any reasonable adjustments to assist you in the selection process, please advise us of these so that we can make appropriate arrangements.  The University of Surrey is committed to equality, diversity, and inclusion and would welcome applicants from all backgrounds and communities.

About Us The School of Biomedical Engineering & Imaging Sciences at King's College London is a world-leading center for research and innovation in medical imaging, image analysis, and biomedical engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, offering exceptional training and networking opportunities across leading European research institutions. The MSCA programme supports the career development of early-stage researchers through international collaboration, specialized training, and exposure to both academic and industrial partners.  About The Role We are seeking an exceptional early-stage researcher to join our MSCA Doctoral Network as DC5 (Doctoral Candidate 5), focusing on quantitative phenotyping via generative modelling of quantitative MRI data. This exciting PhD position combines advanced machine learning with medical imaging physics to develop next-generation tools for biomarker extraction and clinical decision support. You will develop innovative generative models using vector quantised variational autoencoders (VQ-VAE) and transformer architectures to synthesise realistic quantitative MRI (qMRI) data with controlled anatomic variability. Your work will address a critical challenge in medical imaging: the limited availability of qMRI datasets. By augmenting models with phenotypes from non-quantitative MRI and disentangling image content from acquisition physics, you will create powerful tools that work across different imaging protocols. A key aspect of your research will be developing physics-aware models that bidirectionally map between non-quantitative and quantitative MRI data. Using Bloch equation simulations and cycle-consistent learning, you will create physics-invariant networks for biomarker extraction, segmentation, and classification. This work has significant potential to improve the robustness and generalizability of AI tools in clinical settings. The position offers unique international experience through a series of planned secondments at leading institutions, such as Amsterdam UMC (Netherlands) to apply your generative models to parameter mapping networks, University of Antwerp (Belgium) to validate your MRI simulator with preclinical data, and Institut Curie (France) to develop physics-invariant segmentation tools, to be discussed with the applicant You will receive comprehensive training in Advanced Machine Learning for medical applications, Scientific Computing, Image Processing, and Image Acquisition, while working alongside world-class researchers in medical imaging and AI. Expected milestones include: (1) a covariate-conditioned generative model of qMRI data (M18), (2) a fast physics-based MRI simulator (M24), (3) a bidirectional non-quantitative to qMRI mapping model (M30), and (4) an integrated joint generative framework (M42). This position is funded through a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network grant and includes full enrollment in a doctoral programme with structured supervision and research training. The attractive salary package follows MSCA regulations, including living allowance, mobility allowance, and family allowance where applicable. This is a full-time post (35 hours/week), and you will be offered a fixed-term contract for 3 years / until the end of the PhD. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Hold a Master's degree or equivalent in computer science, biomedical engineering, medical imaging, mathematics, or related discipline Strong background in machine learning and deep learning, particularly in generative models (VAEs, GANs, transformers) Programming experience in Python and deep learning frameworks (PyTorch) Knowledge of medical image processing and analysis techniques Ability to understand and implement mathematical models, including physics-based models Excellent written and oral communication skills in English Ability to work independently and collaboratively within an international research network Meet MSCA mobility rule: at time of recruitment, must not have resided or carried out main activity in the UK for more than 12 months in the 3 years immediately prior to appointment Desirable criteria Experience with quantitative MRI (qMRI) techniques and physics Experience with vector quantised variational autoencoders (VQ-VAE) or similar models Knowledge of MRI physics and Bloch equation simulations Experience with medical image segmentation or classification tasks Publications in machine learning, medical imaging, or related fields Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information  We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: Marie Skłodowska-Curie Actions (MSCA) Doctoral Network programme salary package following MSCA regulations, including living allowance, mobility allowance, and family allowance where applicable Job ID: 133125 Close Date: 04-Jan-2026 Contact Person: Laura Zappulla Contact Details: laura.zappulla@kcl.ac.uk