University of Edinburgh - Business School

Dean of Research The Dean of Research is a new senior leadership position within the Sharjah Education Academy. The purpose of the position is to provide leadership to shape and guide SEA’s research strategy. The Dean of Research will ensure that the Academy’s research is rigorous, socially relevant, and regionally transformative. The role is one of three Dean positions (Dean of Research, Dean of Education, Dean of Continuous Professional Learning) reporting to the Deputy Vice Chancellor (Academic) and will work collaboratively with other senior administrators and academic leaders to develop and implement the Academy’s research strategy and plan, build research capability across the institution and establish a strong, distinctive doctoral program. The incumbent will be an established and dynamic academic leader with a distinguished track record in research leadership in an education-related field. The Dean of Research will play a pivotal role in driving SEA’s impact on education transformation nationally and within the GCC region. Experience in the UAE/GCC region and bilingual proficiency (Arabic and English) will be highly regarded. Key Responsibilities include: Research strategy and leadership: Develop and execute the Academy's research strategy, promote a strong research culture, and increase research activity and performance in the Academy’s core area of focus. Research quality: Develop, monitor and evaluate research quality across the Academy. Capability building: Lead the development and implementation of research capability and doctoral supervision programs aligned to international good practice. Funding and resource management: Secure local and international research funding and partnerships to drive the Academy’s Strategic vision and plan, manage research budgets, and oversee grant submissions and research project proposals. Postgraduate research: Oversee higher degree by research (HDR) programs, coordinate admissions, and support research capability building programs for staff and students. Collaboration and partnerships: Facilitate cross-institutional collaboration, and build relationships with industry, government, and other external stakeholders to enhance research impact. Institutional effectiveness: Coordinate with other Academy leaders to align research initiatives with institutional planning and to measure and report on research outcomes. Representation and advocacy: Represent the Academy on research-related committees and at national and international forums.  Required qualifications and skills: Academic credentials: A PhD in a relevant field to the Academy’s work  and a strong research track record, ideally in quantitative/mixed method education related research. Strategic thinking: The ability to develop and implement strategic plans aligned with institutional priorities. Leadership: Proven ability to lead teams and provide strategic direction. Communication: High-level interpersonal, communication, negotiation, and advocacy skills and experience leading initiatives with diverse stakeholders. Management: Experience in budget management and resource allocation. Preferred skills and expertise: Languages: Bilingual (Arabic/English) Local knowledge: Relevant experience in the UAE/GCC region. Application Process: Interested candidates are kindly requested to submit the following in PDF only: Curriculum vitae (CV) Please submit these documents to careers@sea.ac.ae

Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. The Library at LJMU provides a wide range of digital information tools and resources and access to the digital publications needed by all our students, researchers and staff. We support our users in getting the most out of digital content, whether they are consumers or creators, with advice and training, and a high-quality digital experience when using our applications. We have extensive walk-in facilities available to all members of the public. We are the custodian of the collected outputs of all the University’s researchers, including articles, data and doctoral theses. The library provides training, support and systems for researchers to enable them to achieve their full potential and create a global impact. We are now looking for a Library Space and Experience Team Leader. You will be enthusiastic, proactive and an experienced leader and you will support the delivery of high-quality, user-focused services across our library spaces. You will play a key operational role in the day-to-day management of our City Campus and Mount Pleasant Campus Libraries, ensuring that spaces are welcoming, inclusive, safe and conducive to study. You will lead and support a team delivering frontline services, ensuring consistent, high-quality user experiences for students and staff across both sites. You should be educated to degree level or have equivalent relevant experience. You will demonstrate a strong understanding of academic library services and customer service principles, alongside experience of leading or supervising staff in a customer-facing environment. You will be confident managing operational services, resolving complex enquiries and incidents, and working collaboratively across teams to enhance service delivery. Strong leadership, communication and organisational skills are essential, as is the ability to analyse user feedback and operational data to inform continuous improvement. You should be proactive, solutions-focused and committed to delivering excellent user experiences through innovation and teamwork. A confident approach to using digital systems and flexibility to work across multiple sites is also required. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction, and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. Find out more about working at LJMU here. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.

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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.