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  • University of Nottingham
  • United Kingdom, LND
We are pleased to offer an exciting opportunity to join Disability Support Services as a permanent part-time Study Support Tutor. You will work alongside a small team of Study Support Tutors to provide study support to undergraduate and postgraduate students with Specific Learning Differences (SpLDs), including dyslexia, ADHD, DCD / dyspraxia and dyscalculia. You will use student centred methodologies, in both one-to-one and workshop settings. You will enjoy the busy and dynamic environment of the Disability Support Services team, working and collaborating with Disability Advisers, Senior Administrator colleagues and an in-house Support Worker Service.We welcome applications from everyone and value the varied perspectives and experiences that a diverse team can bring. What you will do:Assess the needs of individual students with SpLDs to make recommendations for reasonable adjustments to Academic departments. Support students in one-to-one appointments and group events to assist the development of study strategies. Topics may include academic writing, critical and reflective thinking, note taking strategies, organisational skills, examination preparation. Liaise with Academic departments to communicate adjustments and advise on complex individual cases, in consultation with role holder’s line manager. Advise students on accessing Disabled Students' Allowances. Keep careful records of actions, agreements and decisions in accordance with procedures.You will have: Experience in SpLD study support in an Adult or Higher Education setting.Effective communication and interpersonal skills. Good IT skills, with knowledge of assistive technology. Ability to work appropriately with sensitive information, following established procedures.Where and how you’ll work:This is a permanent full-time role. Working hours are 29 hours per week in a set pattern of 4 standard working days.We offer a hybrid working arrangement with the blended approach of home and office working in the working week. You will be based at our University Park site and your work may involve working across different campuses.As a University of Nottingham employee, you will have: Generous holiday entitlement of 30 days pro rata plus standard bank holidays and five university closure days including closure between Christmas and New Year.Access to a range of benefits and rewards, including fitness and health facilities, staff discounts and travel schemes. To find out more about what we can offer you, follow the link to our benefits website.What next:Further information about this role is available in the role profile. We encourage you to apply, you may be just the right candidate.To apply for this vacancy please click ‘Apply Now’ to complete your details. Following short-listing there will be an interview and linked exercise to complete. Please contact [email protected] if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted. Closing Date: 14 Jun 2026 Category: Administrative, Professional and Managerial (APM)

Closing:
Jun 6, 2026
  • Worcester University
  • United Kingdom, WOR
This opportunity is only available to current University of Worcester students going into their final year of an Accounting and Finance, or Business and Finance degree, and who are seeking a one-year part-time opportunity. The Finance Department are seeking current students to join them for a 10 month, part-time (15-20 hours max) opportunity as Finance Assistant – Purchase Ledger, with a likely start date of September 2026.The role involves maintaining accurate records of liabilities to suppliers. This will include primarily preparation and input of supplier invoices and requests for payment, plus drafting and uploading the weekly payment runs. Answering queries from suppliers, including reconciliation of ledgers, and assisting University colleagues also form part of this varied role.Candidates are asked to include an up-to-date CV with their applications.Informal queries in relation to this role are welcome, and should be directed to Rute Loureiro, [email protected]. Closing Date: 16 Jun 2026 Sub Department: Student Vacancies Salary: £24,714 to £24,830 per annum pro rata

Closing:
Jun 8, 2026
  • University of Canterbury
  • New Zealand, CAN
Te Rōpū Pāpori | Engagement Located in Ōtautahi | Christchurch, Aotearoa | New Zealand 5 weeks annual leave +5 days university holidays Professional development opportunities Generous superannuation provisions (up to 6.75% employer contribution) Salary - $95, 784 Permanent position, 37.5 hours per week Kia hiwa rā, kia hiwa rā!He hiahia, he pūkenga nōu ki te mahi a te Web Editor? Nāia te pōwhiri nā Te Whare Wānanga o Waitaha kia tono mai i te tūranga nei. Āu Mahi | What You Will DoThe University of Canterbury has an incredible story to tell, one best shared through the voices of our people, our research, and the impact we make in our communities. We are seeking a talented and detail-focused Web Editor to join our Engagement team and help bring that story to life across UC’s digital platforms. This is an exciting opportunity for a skilled digital communicator who thrives in a collaborative environment, enjoys working across a broad range of stakeholders, and has a passion for producing high-quality online content. Create, edit and publish engaging web content across UC’s digital platforms. Maintain and improve website content to ensure accuracy, accessibility, consistency and alignment with UC brand standards. Collaborate with teams across the University to deliver user-focused digital communications and campaigns. Optimise content for usability, readability, SEO and audience engagement. Support the ongoing improvement and governance of UC’s web presence and content practices. Monitor content quality and ensure information remains current and relevant. Mōu | Who You AreYou will be a proactive and collaborative digital communications professional with strong attention to detail and a passion for creating quality online experiences. To be successful in this role, you will bring: Bachelor's degree in a relevant field (e.g., Web Editing/Publishing, Web Design, User Experience, Digital Marketing) or equivalent practical experience. At least 5 years' experience in working with web content, content management systems, or digital publishing Strong writing, editing and proofreading skills with the ability to tailor content for different audiences. Experience working with web accessibility, usability and digital content best practice principles. Demonstrated ability to manage multiple priorities and deliver high-quality work to deadlines. Strong stakeholder relationship skills and the confidence to work collaboratively across diverse teams. An understanding of brand, style and content governance requirements in a large or complex organisation. An alignment with our organisation's values and culture, promoting a positive and inclusive work environment. Mahi Ngātahi | Who You Will Work WithYou will be part of UC’s Marketing, Communications, and Events function, working alongside Marketing Leads, Digital Services, content owners, and other stakeholders, the role ensures priority web pages are accurate, audience-focused, on brand, search-optimised, and aligned with UC’s strategic, recruitment, marketing, and faculty priorities. Ngā Painga o UC | Why UCAt UC, being part of our team means more than just a job. We are committed to supporting our kaimahi | staff’s career and wellbeing with benefits designed to help our kaimahi grow and feel connected, supported and valued. UC’s Benefits approach is shaped by Ngā Uara | Our Values Whanaungatanga, Tiakitanga, and Manaakitanga. They are designed to be relevant, support and inspire our people, they include: 5 weeks annual leave +5 days university holidays UC Parental Leave (up to 9 weeks paid) + 26 weeks Government paid parental leave and onsite childcare facility generous employer contribution to superannuation (up to 6.75%) flexible working arrangements professional development and study opportunities supportive working environment a wide range of retail discounts across shopping, entertainment and travel on-campus staff discounts including UC RecCentre living in revitalised Ōtautahi | Christchurch, Aotearoa New Zealand a unique working environment in a beautiful campus with access to UC facilities such as UC RecCentre and Staff Club at discounted rates plus onsite cafés and eateries, and more. For more information, please visit us: https://www.canterbury.ac.nz/about-uc/work-at-uc/benefits-working-uc For more information about Te Whare Wānanga o Waitaha | University of Canterbury, please visit https://www.canterbury.ac.nz/ The closing date for this position is: 9 June 2026 (midnight, NZ time)Please note, applications will be reviewed as they are received, and interviews may take place before the close date. Pēhea te tono mai | How You Apply Applications for this position must be submitted via our careers website and should include a cover letter and resume. Please note, we do not accept applications by email, however we are happy to answer your queries in relation to the application process, please forward these to [email protected] You must have Aotearoa New Zealand or Australian citizenship/permanent residency to be considered for this role. Please note, this is an onsite position. Job Details Reference # 32150 Posted on 26 May 2026 Closes on 09 Jun 2026 23:55 Location(s) Christchurch Expertise Marketing Job level(s) Experienced Work type(s) Continuing (Permanent) full-time More details (document) PD_Web Editor_2026.pdf Position description 1 Position description 2 Position description 3 Position description 4
Full Time - Continuing
Closing:
Jun 9, 2026
  • University of Nottingham
  • United Kingdom, LND
We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools for fitting stochastic epidemic models to infectious disease outbreak data. The post will contribute to cutting-edge methodological research on Bayesian inference for complex stochastic transmission models, as part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis.This role offers an excellent opportunity to work at the interface of statistics and epidemiology, using modern computational approaches to improve inference for real-world transmission models. The project seeks to deliver robust and scalable alternatives to traditional data-augmentation methods, with outputs including open-source software, careful evaluation on synthetic and real outbreak data, and training materials to support wider uptake. The successful candidate will disseminate their work through high-quality publications and contribute to advancing statistical methodology for stochastic epidemic modelling.We believe that talented and inclusive teams deliver the highest quality research and are seeking applications from high quality candidates who enhance the diversity of our existing team. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences and strives to maintain an environment where people can be their authentic selves.You will be able to carry out duties to the highest standard and to evidence how through your experience you will:Undertake original research of international excellence.Develop research objectives and proposals for own and/or collaborative research area.Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international conferences, workshops and meetings resulting in successful research outputs.Identify opportunities and assist in writing bids for research grant applications. Prepare proposals and applications to both external and/or internal bodies for funding, contractual or accreditation purposes.We are looking for a confident, organised researcher who can evidence:A PhD, or equivalent in statistics, machine learning or a closely related discipline,OR near to completion of a PhD.Expert knowledge of statistical inference methods.Excellent communication and organisational skills.The ability to work independently and as part of a multidisciplinary and multicultural team.Networking, actively engaging with and valuing other areas and diverse groups.This full-time post is available from 01 September 2026 [or as soon as possible thereafter] and will be offered on a fixed-term contract until 30/04/2029. Many of our team have flexible working patterns so we’re open to discuss flexible working arrangements with you.If it sounds like you would be a good fit, we look forward to hearing from you.For information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx. To find out more about the People and Culture in the School of Mathematical Sciences please visit our website: https://www.nottingham.ac.uk/mathematics/edi/edi.aspxInformal enquiries may be addressed to Professor Theodore Kypraios email: [email protected]. Please note that applications sent directly to this email address will not be accepted. Closing Date: 18 Jun 2026 Category: Research and Teaching (R&T)

Closing:
Jun 8, 2026