The University of Sheffield

About us  The post is based in the Centre for Society and Mental Health, a cross-Faculty initiative between the Faculty of Social Science and Public Policy (SSPP) and the Institute of Psychiatry, Psychology and Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we understand mental health;  Work in partnership with affected communities.  About the role  This is an opportunity to do important research on mental health, work and the benefits system, which both contributes to public/policy debates, and provides high-quality contributions to academic debates. You will work closely with Prof. Ben Geiger and Prof. Karen Glaser as part of the Centre’s ‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of the Centre’s wider ethos of coproduction.  Using your experience in quantitative data analysis, you will examine the links between mental distress and work, care and welfare. You will take forward some selected pre-existing projects (e.g. on the relationship between mental distress and the evolving nature of work), can choose to contribute to other existing projects (e.g. the WelfareExperiences project), and take forward new ideas of your own that relates to these topics. There is an expectation that the post holder will develop independent research (including fellowship applications), with the support of Ben, Karen and the wider Centre. The post holder will commit 0.2 FTE of their time to the delivery of teaching in their faculty. This will be agreed with your line manager and may include teaching on a module and supervising dissertations and student projects.  This is a full time post (35 Hours per week), and you will be offered a fixed term contract until April 2028 in first instance, view to extending subject to funding. About you We are asking candidates to demonstrate their experience on the following criteria: PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g., social policy, economics, demography, sociology, social statistics, social epidemiology). Advanced knowledge of contemporary policy and research debates on welfare policy and/or employment Knowledge of advanced statistical approaches and data management best practice for longitudinal data analysis Experience in analysing quantitative data using advanced statistical, econometric or policy evaluation methods To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g., social policy, economics, demography, sociology, social statistics, social epidemiology). Advanced knowledge of contemporary policy and research debates on welfare policy and/or employment Knowledge of advanced statistical approaches and data management best practice for longitudinal data analysis Experience in analysing quantitative data using advanced statistical, econometric or policy evaluation methods Demonstrated ability to work collaboratively with research teams and people with lived experience, including good interpersonal skills to develop and maintain effective working relationships. Demonstrated organisational and time management skills, to be able to work independently and to deadlines Effective communication skills, including experience of presenting / disseminating research findings  Experience of preparing and publishing papers in refereed journals Desirable criteria Knowledge of research in the intersection between social sciences (such as social policy, economics or quantitative sociology) and mental health Relevant previous experience of working on interdisciplinary and/or international research projects A desire and capacity to communicate effectively with, and influence, wider research, business, NGO and policy communities. Demonstrated ability to collaborate effectively with experts-by-experience or individuals from affected communities 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 next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.  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. 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: £45,031- £46,189 per annum including London Weighting Allowance Job ID: 135485 Close Date: 02-Feb-2026 Contact Person: Ben Geiger Contact Details: ben.geiger@kcl.ac.uk

Classification: Academic Level B / Level C / Level D Salary package: $121,598 - $185,334 per annum plus 17% superannuation Term: Full time, Tenure Track (3 x positions) Position Description and Selection Criteria: PD&PEWER_Level B.C.D_Tenure Track_SOCO_CSS_2026.pdf Position overview These positions are tenure track appointments to contribute to at least one of the Activity Clusters of the ANU School of Computing. Computing Foundations: software systems, programming languages, compilers, operating systems, software testing, software engineering, computer architecture, computer security, logic and verification, theory of computation, formal methods Intelligent Systems: artificial intelligence, machine learning, computer vision, natural language processing, robotics Data Science: data mining and statistical analysis, data storage and management, cloud storage and distributed computing, data engineering, data warehousing, data modeling and visualization, data analytics, database management and architecture, health informatics, data privacy Computational Science: scientific computing, high-performance computing, large-scale parallel systems, modeling and simulation, bioinformatics, computational biology/chemistry/physics/engineering About the College As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation. We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective. CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College comprises three schools: the School of Computing, School of Cybernetics, and School of Engineering, supported by the Professional Services Group. The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. Pioneering Women Lectureships We are committed to supporting the next generation of women in leadership through the Pioneering Women Lectureships scheme. This scheme is open to women who are successful in their application to the School of Computing tenure track program, across all our Activity Clusters. Find out more about this opportunity and how to apply.  For further information please contact, Director of the ANU School of Computing, Professor Antony Hosking, T: +61 2 6125 9358, E: director.comp@anu.edu.au. ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds, people living with a disability, and members of the LGBTQIA+ community. Furthermore, it is practice in the ANU College of Engineering and Computer Science to actively seek a gender mix of shortlisted candidates for interview. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion   We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. If your experience looks a little different to what we’ve described, but you’re passionate and motivated by this position, we welcome your enquiry and application.  The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. This also includes generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources. Application information Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: A detailed curriculum vitae including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. A statement addressing the selection criteria. A 1–2-page statement outlining your approach to coursework education and student project supervision. A 1–2-page statement outlining your research objectives for the next 5 years if appointed. A 1–2-page statement outlining your approach to engagement and impact. A statement addressing past and/or potential contributions to diversity through research, teaching, and/or service. *Previous applicants do not need to reapply to this advertisement. Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Monday, 13 April 2026, 11.55PM (AEDT)

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an academic research project funded by HTX, where you will be part of the research team under the project titled: Occupant Tenability and Time to Flashover in Small-Sized Flats (Numerical Study Phase) Under this job, you will develop a CFD modelling platform to study effects of different ventilation factors on an occupant’s tenability when trapped in the bedroom and have a reliable time to flashover within representative HDB units. Job Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Assists in co-supervision of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables. Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects. Prepares and shares fortnightly report of results from the computations with the PI. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by Supervisor. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Master or Ph.D (preferred) in Mechanical Engineering, Fire Engineering or related fields. Strong knowledge and experience in flashover/building fire simulation is high advantageous. Hands on experience on experimental studies Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in building fire combustion and spread. Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as FDS and ANSYS package is preferred. Candidate preferably should be familiar and have sufficient experience in using FDS and ANSYS FLUENT, Meshing tool and post-processing software. Key Competencies: Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work