University of Reading

Salary: £31,236 - £34, 610 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be foud here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Administration, Professional Services Job reference: REQ000470 Attachments: attachmentStudent Data Returns Assistant - JD - Jan 26.pdf This is an exciting opportunity to join a well-established team dedicated to supporting the collection, validation, and coding of data submitted to regulatory bodies across the Higher Education and Further Education sector You will have a keen eye for detail, enjoy working across teams to problem solve and recommend future solutions for improving our data quality processes. You will enjoy being part of a vibrant team and be prepared to support other core business processes at peak times of the year, such as student enrolment.  We are looking for someone who enjoys data focussed challenges and has experience of working with complex datasets ideally within an education setting. Please be advised that this advert may close prior to the advertised closing date should a sufficient number of applications be received. Standard Information UCB is an equal opportunities employer. University College Birmingham is proud to be TEF rated Silver, with a Good Ofsted rating UCB has achieved the Investors in Diversity Bronze Award. You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.

Location Docklands Campus Salary £62,443 to £71,685 per annum inclusive of London Weighting Post Type Full Time Post Type Fixed Term Contract Length 12 months Closing Date Wednesday 21 January 2026 Interview Date Wednesday 04 February 2026 Reference 104S2025 University of East London We’re the University of East London (UEL), founded in 1898 and proud to change lives through education. Our goal is to advance industry 5.0, careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a sustainable, inclusive and green future. But we can’t achieve this alone. We need forward-thinking, innovative and curious individuals to join our community and help shape what comes next. At UEL, you’ll work with colleagues who share a passion for creativity, technology and positive change, in an inclusive and welcoming environment that is constantly evolving. About Us The People & Culture directorate is responsible, in partnership with stakeholders across the organisation, for delivering the University of East London’s People strategy in furtherance of the UELs strategic progress outlined in our Vision 2028 strategy. We are passionate about the delivery of customer-centric and operationally excellent services to create an environment where people are attracted to work at UEL to be supported to develop and grow and deliver their best work in a hard-working and encouraging environment. About the Job As our Learning & Development Partner, you'll play a key role in shaping how people grow and succeed across the organisation. Working closely with senior leaders and People & Culture colleagues, you’ll design and deliver learning programmes that genuinely make a difference — from leadership and management development to onboarding and change initiatives. The role blends strategy with hands-on delivery: facilitating workshops, creating practical resources and using insight and data to target skills gaps and build capability. Inclusion, engagement and culture sit at the heart of the work, with real scope to influence how learning supports performance and progression. About You You’ll bring a solid background in Learning & Development, ideally supported by a CIPD qualification or equivalent experience. You have a proven ability to diagnose development needs and design engaging impactful learning solutions, both face-to-face and digitally enabled. Your experience covers leadership and management development, soft skills and behavioural programmes, and you’re used to measuring impact through KPIs and learning insights. You balance credibility with a collaborative mindset and be skilled at building relationships with stakeholders at all levels. You should also be confident at sourcing and managing third-party providers. You’re a clear, confident communicator who enjoys facilitating and presenting, brings people with you, and creates practical, accessible resources using Word, Excel, and PowerPoint. A strong understanding of apprenticeships and career development frameworks is essential, with the ability to support, design, or align learning programmes to meet apprenticeship standards and progression pathways. Benefits Package At UEL, we believe that a great role is about more than just a salary. It’s about the complete package, including our outstanding work environment and inclusive culture. We offer a genuinely competitive salary, dependent on experience, and a range of excellent benefits. You can explore our full benefits package here:  https://uel.ac.uk/benefits-professional-services-positions How to Apply Please apply by submitting your CV and a covering letter (maximum of 2 sides of A4) explaining why you're interested and clearly demonstrating how your skills and experience are relevant for this role, alongside your online application. Please note: applications submitted without a covering letter will not be considered. Equal Opportunities As an inclusive, equal-opportunities employer, our Stonewall membership and Athena Swan awards reflect our ongoing dedication to Equality, Diversity and Inclusion and we’re committed to closing the" diversity pay gap". We’re proud of the progress we’ve made and honest that there’s more to do. We’re determined to keep moving forward so everyone at UEL can thrive. We're also a disability confident employer and value all applications. Please let us know if you require any reasonable accommodations throughout the recruitment process. So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and committed to success, we want you to apply today! Please note that this advert may close earlier than the stated deadline if we receive a high volume of applications. We encourage you to submit your application as soon as possible. Further Details Job Description & Person Specification

Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical foundations of data science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and Professor Pierre Youssef. We are particularly interested in candidates with a strong mathematical background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position can be filled at either the Postdoctoral Associate level, depending on qualifications. The appointment is for two years, with the possibility of renewal. Requirements: Ph.D. in Mathematics, Computer Science, Engineering, or a related field The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a maximum three pages summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Further questions may be directed to Professor Pierre Youssef at yp27@nyu.edu. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply. Equal Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.