University of Jendouba

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

About Us King’s College London’s mission is to achieve excellence in education and research, using our knowledge with purpose since 1829 for the benefit of society. Our thriving and an award-winning External Communications team plays a key role in helping the University achieve its mission. Effective communication, particularly through our social media channels, is crucial to achieving our ambitious vision.  About The Role We are seeking a proactive and creative Social Media and Content Officer to support our social media strategy and content creation. You will support the Social Media Manager to manage the University's main social media channels, including Instagram, TikTok, LinkedIn, Bluesky, YouTube and X. You’ll be instrumental in developing our research presence on TikTok and YouTube through creative, innovative and responsible content. Working alongside the Social Media Manager, you will help develop and implement strategic social media campaigns to promote our research and internal initiatives. Your objective will be to ensure these campaigns support the University's objectives and vision while effectively engaging and building a strong connection with our online community. A key part of your role will be to stay on top of the latest trends, creating reactive content that keeps our channels fresh, relevant and engaging. This is a full time post (35 hours per week), and you will be offered a fixed term contact for 12 months. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria  Experience of personally creating engaging, multimedia content for digital channels including video, photography and infographics. Experience of creating and maintaining social media channels, within a professional communications/marketing context. Can demonstrate how to simplify complex information into clear and engaging content for social media. Experience of using data analytics or insights to track and inform progress across platforms. Experience of using editing software such as, Adobe suite, Canva and CapCut. Demonstrable ability to prioritise workloads, use initiative and manage deadlines. A self-starter, with a strong ability to communicate and collaborate efficiently within a team. Desirable criteria Educated to degree level or equivalent experience. Knowledge of social media in a higher education landscape Demonstrable commitment to maintaining up-to-date knowledge on emerging social media channels and trends in audience behaviour. Knowledge of social media listening tools to monitor reputation and overall sentiment of our channels. 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: £39,076 - £43,909 per annum inclusive of London Weighting Allowance Job ID: 133165 Close Date: 04-Jan-2026 Contact Person: Gemma Chatwin Contact Details: gemma.chatwin@kcl.ac.uk

About us: The King’s community is dedicated to the service of society. King’s Strategic Vision 2029 sets out our vision for the future, shaped around five priority areas: educate to inspire and improve; research to inform and innovate; serve to shape and transform; a civic university at the heart of London; and an international community that services the world. Our ambitious Education Strategy sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us. The Counselling and Mental Health Support Service is part of the Students & Education Directorate, a collection of wide-ranging professional services in place to support King’s students and their education. As a directorate we manage the student lifecycle from application to graduation and beyond, to ensure a coherent and seamless student experience and effective administrative processes, working closely with King’s faculties to do so. The Counselling and Mental Health Support Service provides a highly specialised Counselling and Mental Health service to students who are often in distress and require sensitive, timely access to psychological and mental health support. About the role: The role requires Counsellors to provide confidential psychological and emotional support to students, addressing a wide range of personal, social and academic challenges. The Counsellor will have extensive experience and skill in carrying out initial assessments with students, assessing student risk, previous mental health history and identifying therapeutic goals which are suitable for a short term therapeutic intervention. The Counsellor will manage a case load of individual clients, monitoring progress as well as referring students to internal and external supports where appropriate. The Counsellor will work within an experienced Counselling team and contribute to clinical case discussions. ​This is an exciting opportunity for candidates looking to work in a dynamic environment where we embrace new initiatives and ways to improve the provision of mental health support for our students. This is an opportunity to grow your skills in working with a diverse client population within a valued service. ​We encourage applications from candidates who have experience from both within and outside of the Higher Education sector where they can demonstrate the skills needed to succeed in this role. This is a part time role (50% FTE; 17.5 hours per week) and you will be offered an indefinite contract. Please note that as the role is part time, the salary displayed on the advert will be pro-rated accordingly. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Demonstrated ability to carry out assessments with students, identifying risk, mental health history and therapeutic goals. Experience providing therapy in a short term five session, solution focused model in an HE or educational stetting or NHS therapeutic service. Demonstrated high-level competence in providing therapeutic interventions that are trauma informed and culturally appropriate with individuals of diverse backgrounds and presenting concerns. Experience of balancing the need to share information appropriately to ensure the effective management of risk with the need for confidentiality and data protection legislation compliance, and escalating risk where deemed necessary Demonstrated empathy for, and understanding of, the psychosocial issues and concerns experienced and demonstrated by students undertaking university level studies. Possesses high-level communication (written and oral) and interpersonal skills, including liaison and influencing skills to work collaboratively, flexibly, and productively within and across teams to provide advice on student mental health issues and service to students. Applicants must have a relevant academic degree and must hold the proper license or accreditation to legally provide counselling services in the UK, e.g., BACP, UKCP, HCPC, BPS. Accepted degrees include an M.A. or Ph.D. in Counselling or Psychotherapy, or a MA, Ph.D. or Psy.D. in Clinical or Counselling Psychology. Desirable criteria Previous experience providing counselling in an HE setting Training and experience facilitating long term therapeutic groups or short term CBT or similar group interventions 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 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. Interviews are provisionally due to be held on Thursday 22nd January 2026. Grade and Salary: £53,947 to £63,350 per annum pro rata, including London Weighting Allowance Job ID: 132565 Close Date: 18-Dec-2025 Contact Person: Nicole Melder Contact Details: Nicole.melder@kcl.ac.uk