Universidad Panamericana

Salary: £24,521 - £26,093 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Finance, Professional Services Job reference: REQ000560 Attachments: attachmentFinance Admin Asst - JDPS - June 2026.pdf University College Birmingham is seeking a highly organised individual to join the Finance Team. As a key member of the team, you will be the first point of contact to deal with general finance queries and provide support to the Finance Assistants and wider Finance Team. The successful candidate will demonstrate: Relevant Admin experience Organisation skills High level of IT skill Accuracy and attention to detail Ability to work on own initiative and part of a team  If you are looking to work in a fast-paced, financial environment this is the role for you. 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.

Learning Sciences & Assessment Department Overview The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research.  NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives. An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 10 in the world for research impact in the field of Education. The Learning Sciences & Assessment (LSA) Department is an interdisciplinary academic department committed to advancing research, teaching, and professional practice in learning sciences, educational technology, and assessment. Through theoretically grounded and methodologically rigorous scholarship, LSA seeks to deepen understanding of how people learn and how learning environments, pedagogies, and technologies can be designed to improve educational outcomes across diverse contexts. LSA brings together complementary expertise spanning learning design, technology-mediated learning, assessment, analytics, and educational innovation. The department offers programmes across initial teacher education and graduate education, and supports the preparation of educators, researchers, and instructional leaders who can design, study, and lead meaningful learning in schools, higher education, and professional settings. Current programmes include: Master of Arts (Instructional Design and Technologies) Master of Education (Learning Sciences and Technologies) Master of Arts in Professional Education (Training and Development) Master of Teaching Master of Science (Science of Learning) Doctor of Education (Technologies and Technology-Mediated Learning Environments) Doctor of Philosophy (Education) The Opportunity The LSA at the National Institute of Education (NIE), Nanyang Technological University (NTU), Singapore invites applications for a tenure-track Assistant/Associate Professor position in AI-Enabled Instructional Design and Professional Education. The Department seeks a candidate whose scholarship and teaching will strengthen its research, graduate teaching, and programme development in an area of strategic growth. We are particularly interested in applicants whose expertise lies at the intersection of instructional design, adult learning, professional education, and the pedagogically sound use of artificial intelligence to support learning design, facilitation, feedback, and learner support. Candidates with expertise in one or more of the following areas will have an added advantage: Instructional design for higher education, workplace learning, and continuing education Adult learning and professional education Online, blended, and technology-mediated learning design AI-enabled instructional design, including generative AI and intelligent tools for learning design, facilitation, feedback, and learner support Human-centred design of AI-supported learning environments Evaluation of learning interventions in organisational, professional, and higher education settings Ethical, responsible, and pedagogically sound integration of AI in instructional design and professional learning Micro-credentials, workplace assessment, and learning innovation in professional contexts Implementation research, design-based implementation research, or improvement science Requirements For appointment at Assistant Professor rank: A PhD or equivalent qualification in Instructional Design, Learning Sciences, Educational Technology, Adult Learning, Professional Education, or a closely related field. A clear research agenda relevant to AI-enabled instructional design, adult learning, and professional education, with expertise in one or more of the areas identified in this advertisement. Demonstrated potential to develop and sustain a strong research programme, including the ability to secure and manage competitive research funding. An emerging record of high-quality scholarly publications and conference presentations in reputable international outlets. Evidence of teaching effectiveness, or strong potential for teaching excellence, in areas such as instructional design, adult learning, online and blended learning, professional education, or AI-enabled learning design. Familiarity with educational or professional practice and an interest in research with relevance to higher education, workplace learning, continuing education, or professional learning contexts. Potential to build productive collaborations with local and international researchers, educators, industry partners, and other stakeholders. Excellent communication skills in spoken and written English. Collegiality, professionalism, and willingness to contribute to interdisciplinary collaboration, curriculum development, graduate supervision, and academic service. Additional requirements for Associate Professor rank: Established record of excellence as an Assistant/Associate Professor at reputable universities. Outstanding research record in AI-enabled instructional design, adult learning, and professional education. Proven track record of securing competitive research grants. Extensive publication record in high-quality international peer-reviewed journals. International research network with established collaborations. Experience working in or with educational institutions, including schools, is preferred. Responsibilities The successful candidate will be expected to: Establish and sustain a productive research programme, securing competitive research funding. Publish in high-impact peer-reviewed journals or other reputable scholarly outlets. Design, teach, and coordinate courses across graduate and professional education programmes. Collaborate with faculty colleagues to design innovative curricula and support programme development in areas aligned with the Department’s strategic priorities. Supervise graduate students and contribute to the academic and professional development of learners in higher education and professional contexts. Build professional networks with local and international researchers, educators, and industry or professional partners. Contribute actively to service at the departmental, institutional, national, and international levels. Share expertise across NIE through collaborative platforms and interdisciplinary projects. Application Please submit your application together with the following to us through: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Assistant-Associate-Professor-in-AI-Enabled-Instructional-Design-and-Professional-Education--LSA---NIE-_R00024752  A cover letter outlining suitability of the position. A curriculum vitae, including qualifications, teaching experience, research achievements, full publication list, and academic service. Three sample publications Research Impact Statement (up to 5 pages) Applicants should demonstrate the significance and impact of their research by addressing the following: Key Contributions: What are your most important research impacts to date? Evidence of Impact: How has your work influenced your field, policy, or practice? Provide evidence (e.g., publications, citations, policy uptake, industry adoption). Academic Impact: How has your work advanced theory, methods, or knowledge? Societal/Policy/Industry Impact (if applicable): Describe influence on policy, regulation, industry standards, or broader society. Research Identity: What distinguishes your work? Articulate a clear and coherent research trajectory. Contribution and Leadership: Clarify your role in collaborative projects. Future Impact: Outline how your research will shape the field over the next 5–10 years. Teaching Impact Statement (up to 3 pages) Applicants should demonstrate their impact on student learning and education by addressing: How they have enhanced student learning and engagement What teaching innovations or improvements they have implemented and why How they promote interdisciplinary thinking How they incorporate experiential and collaborative learning How they have contributed to a positive teaching culture Applicants are encouraged to provide evidence to support their claims. Closing Date The closing date for applications is 30 June 2026 or until the position is filled. Other Information More information on LSA can be found at https://www.ntu.edu.sg/nie/about-us/academic-departments/Learning-Sciences-Assessment For enquiries, interested applicants may write to Associate Professor Shanti Divaharan, Head of LSA at shanti.divaharan@nie.edu.sg copied to Miss Ng Shiu Fern at shiufern.ng@nie.edu.sg. Note to applicants Only successful candidates will be notified (via email).

Department: School of Business Vacancy ID: 042284 Closing Date: 22-Jun-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The International Research on Energy Systems Integration, Education & Environment for Sustainability and Innovation Center (IRESI), is a research centre housed in the School of Business. IRESI's research focuses on propelling sustainable energy systems into the future by helping individuals, organisations and institutions in the pursuit of a cleaner, greener, and more sustainable energy landscape. We are seeking a motivated, analytical, and detail-oriented Data Analytical Research Assistant to support a multidisciplinary research team working on the Research Ireland–funded RENEW project. The successful candidate will primarily contribute to activities related to data analysis, data management, and the development of the Smart Tariff Comparison Tool. The role will focus on supporting the collection, preparation, analysis, and interpretation of energy-related and consumer datasets to inform the development, testing, and refinement of the Smart Tariff Comparison Tool. Working closely with experienced researchers and technical staff, the successful candidate will contribute to analytical workflows, data processing activities, and evidence generation to support project objectives. This is an excellent opportunity for an early-career researcher or analyst to gain hands-on experience in applied data analytics, energy research, and digital tool development within an interdisciplinary research environment. Salary: Research Assistant Level I (2026): €33,792 – €34,621 p.a. pro-rata (2 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Monday 22nd of June 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University