University of Manchester

About us The Department of Psychosis Studies is the world’s leading department for research into psychotic disorders by high impact publications. It is part of the IoPPN; the largest academic community in Europe devoted to the study and prevention of mental illness and brain disease. The IoPPN produces more highly cited outputs (top 1% citations) on psychiatry and mental health than any other centre (SciVal 2021). The IoPPN's greatest strength is the interdisciplinary nature of both its research strategy and educational activities, providing unique opportunities for students and staff. About the role The postholder will join exciting new studies in the group. These include testing the synaptic hypothesis of psychosis and the role of excitation-inhibition balance in psychotic disorders and testing how the first non-D2 antipsychotics work. The studies involve in vivo imaging with cutting edge PET and fMRI techniques and clinical trials. The postholders will be responsible for recruitment and clinical assessment of participants with psychosis, including clinical rating scales and delivering a high level of care to research participants. They will be responsible for organising and acquiring imaging and other measures and producing scoping literature reviews. The postholders will be responsible for ensuring high quality research governance across projects, helping to analyse, interpret and publish the results of projects, as well as helping to support students who will be working on the projects. The postholders will be responsible for maintaining accurate records within a database that can be shared with members of the wider research team. They are also responsible for organising and overseeing weekly case and control tracking meetings, as well as quarterly steering group meetings. The postholders will be responsible for ensuring effective collaborative relationships with other research worders on the project, as well as with local clinical services and researchers on other related projects. The postholders will be responsible for contributing to knowledge exchange and dissemination activities such as organising and participating in scientific meetings and to support all other aspects of the projects as required. There will also be opportunities to get clinical experience. This is a full time (40 hours per week) however the department can consider part-time applications. You will be offered a fixed term contract for 1 year (with the potential to extend/ develop a PhD; subject to funding).  Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Full GMC registration with valid license to practice (candidates without this will not be considered further)  Experience of assessing patients with psychotic disorders in UK or similar healthcare settings Strong academic trajectory as evidenced by performance in A-levels (or equivalent), undergraduate and/or post-graduate education in the top rank, prizes or other relevant indicators  Ambitious, enthusiastic, responsible, flexible and able to work independently to deadlines  Ability to work in a team with excellent written and oral communication skills  Ability to critically appraise scientific literature and develop research ideas  Knowledge and experience of using databases and other relevant software (e.g. statistical software)  Evidence of strong interest and aptitude for research, particularly in a relevant area (e.g. psychopharmacology, neuroimaging, psychosis) Desirable criteria Training and/or experience with relevant psychiatric rating and/or neuroimaging measures  Experience of acquisition and analysis of relevant neuroimaging data (e.g. PET, MRI, EEG, MEG)  Experience of working with patients with psychosis in research or other relevant settings  Knowledge of drug treatments in psychosis particularly in psychosis  Publications and/or conference abstracts in relevant area (such as psychiatry/ psychopharmacology)  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. This post is subject to Disclosure and Barring Service and Occupational Health clearances. Grade and Salary: £45,943 - £67,610, plus £2,162 London Weighting Allowance per annum Job ID: 119706 Close Date: 11-Jan-2026 Contact Person: Psychosis Admin Team Contact Details: psychosis-admin@kcl.ac.uk

The Clinical Psychology programme team is looking to employ a Clinical Associate, from February 2026 until September 2027. During this period, you will be contracted to work 900 hours (working pattern to be agreed in discussion with the research team) to support the development of our work within the homeless sector.  With support from South-East NHS England, the Surrey PsychD programme has been working on an innovative project over the past two years to develop homelessness placements for trainees, and to embed housing and homelessness as a priority agenda within the PsychD programme. The project seeks to expand the psychological workforce within the homelessness sector, and to generate ways of working between the third sector and the NHS. Building on the success of the project to date, we are now seeking an Associate with experience of working in the homelessness sector, or a similar field, to support the continued development of these placements and the longevity of the project. This post will form a crucial role in building strategic relationships with local third sector organisations across Surrey and Sussex, and with our partner NHS Trusts’ housing initiatives.  The post holder will be expected to develop and coordinate trainee placements, generate new ways to assess trainee competencies within these organisations, and support trainees undertaking these roles. There will also be a requirement to support supervisors in the region, and to work with organisational leads to provide overall structure to the placements. This is an exciting time to join the project team, with opportunities for project management, leadership, stakeholder engagement and national dissemination. The role will involve close liaison with the PsychD programme exec team, as well as the wider team. About you The post holder will be expected to have excellent communication skills and a passion for supporting those who are marginalised and facing inequalities and deprivation. Applicants will need to be registered with the HCPC as a Clinical or Counselling Psychologist, will have experience of working in third sector organisations, and will be able to demonstrate excellent organisational and project management skills. The post will provide an opportunity to work with a team of applied psychologists, homeless sector partners as well as trainees who respect and value one another, are advocates for lived experience, lifelong learning, and who embrace change.  The School and Faculty The clinical psychology programme is based within the School of Psychology, within the Faculty of Health and Medical Sciences (FHMS). The faculty is a leading provider of undergraduate and postgraduate healthcare education, research and consultancy. It has extensive links with local health care providers and is based in a modern, purpose built, state-of-the-art teaching facility on the University of Surrey campus in Guildford. The campus provides a pleasant working environment with close links to road and rail transport. Further information about the University and the School of Psychology can be found at https://www.surrey.ac.uk/school-psychology Further Information For an informal discussion please contact Jane Iles, Programme Director via j.iles@surrey.ac.uk or Mary John, Head of Discipline via m.john@surrey.ac.uk  To apply please submit your CV and cover letter via the University website. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Further details Further Particulars

Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty.  The Undergraduate Division is seeking teaching faculty at all levels with expertise in Bio and AI or Physics and AI. The target will be teaching part of an interdisciplinary course which explores the intersection of physics, biology, and artificial intelligence, equipping students with analytical and computational tools to model, simulate, and understand complex biological and physical systems. About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution. With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions. Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD or Master’s degree in Biophysics, Physics, Biomedical Engineering, Computational Biology, AI/ML, or a closely related field. Demonstrated Expertise in one or more of the following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences Physics and AI: Physics-Informed Machine Learning (PIML):  Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in Physics with applications to  Material discovery and quantum chemistry - Gen AI designing materials with target properties Astrophysics and cosmology: Deep learning for telescope image analysis, gravitational wave detection, dark matter inference Foundational and Theoretical Intersections i.e.  Statistical mechanics of learning -  Understanding generalization, loss landscapes, and over-parameterization using physics analogies or Information theory and thermodynamics of computation: Energy limits, entropy, physical cost of learning Quantum Machine Learning (QML) at the intersection of quantum computing and artificial intelligence Proven teaching experience at the undergraduate or graduate level (or equivalent professional training experience): Proven teaching or research supervision experience at the undergraduate or graduate level Strong commitment to interdisciplinary education and innovative pedagogy Preferred Qualifications Research or industry experience applying AI to biological/biomedical challenges OR Physics informed AI Experience with Python, MATLAB, Pytorch, or other scientific computing tools of the area Track record of mentoring students in cross-disciplinary or project-based learning Application Instructions To apply for this position, please submit the following:     Cover letter                                                     Curriculum Vitae Teaching statement                                                     Reference letters or Name and contact details for three referees MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.  Be a part of AI’s future – apply today at MBZUAI! #MBZUAI #careeropportunities #AI Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.