University Rey Juan Carlos
About University Rey Juan Carlos
Basic information and contact details for University Rey Juan Carlos
Rankings
Select the type of rankings below to see stats
Impact Rankings
Select the type of ranking below to see stats
Discover similar universities
Find out more about studying, research and jobs at these universities
suggested
Key Student Statistics
A breakdown of student statistics at University Rey Juan Carlos
- Student gender ratio
- 57 F : 43 M (1)
- International student percentage
- 6% (1)
- Students per staff
- 17.3 (1)
- Student total
- 39309 (1)
Based on data collected for the (1) World University Rankings 2026
Jobs you might be interested in
You may want to explore jobs from other universities which are relevant to you
See all
Manager, Commercial Property
Flinders University
Australia, Bedford Park
Flinders University
Australia, Bedford Park
Continuing Position | Full-Time HEO Level 9 | $133,860 - $147,656 + 17% Super Location: Bedford Park / Kaurna Country View Position Description About the Role Join Flinders University and be part of a supportive, values-led team in Property, Facilities and Development that helps shape the places and partnerships that enable outstanding teaching, research and student experience. As Manager, Commercial Property, you’ll lead a diverse portfolio and combine high-level commercial advice with hands-on transactional delivery—preparing and managing leases and licences, undertaking rent reviews and outgoings reconciliations, and keeping lease data and key systems accurate and audit-ready. If you’re commercially sharp, organised, and enjoy building strong stakeholder relationships while making a visible impact, we’d love to hear from you. Some of the key areas of responsibility are: Identification and evaluation of commercial property opportunities aligned with functional requirements and business needs, including location, space, amenity, compliance, operational constraints, and whole-of-life cost. Develop and present detailed business cases to support decisions relating to the acquisition, renewal or disposal of properties assets as required Preparation and management of leases, licenses, and related property agreements to ensure the University’s interests are protected and effectively managed across the property portfolio, including the ongoing maintenance of property and lease information within University systems such as NomosOne and Service One. Undertaking portfolio-wide financial management responsivities, including budgeting and forecasting for lease revenue and expenditure; managing rent reviews and escalations; monitoring and reconciling outgoings; overseeing invoicing and financial controls, preparing performance reporting, and supporting risk management associated with property assets. Contributing to campus activation and planning initiatives by providing commercial property input (tenure/leasing opportunities, site constraints, market considerations and financial impacts) to support the University’s strategic objections. For a more detailed list of Key Position Responsibilities, please view the Position Description About You With extensive experience in property management, including the effective management of large, complex and institutionally scaled property portfolios – preferably within a university or comparable environment, you understand organisational and business requirements and how to develop and implement property strategies that support operational, financial, and strategic objectives. Your exemplary oral, interpersonal, and written communication skills support your ability to influence, negotiate, and present advice effectively to senior stakeholders along with the preparation, analysis, and assessment of leases, licences, and other legal property documentation. Other keys to your success are: Proven commitment to client needs, a strong track record of delivering high-quality client-focussed service, and the ability to build productive relationships with internal stakeholders, key client groups, and colleagues to develop solutions and create opportunities. Experience and sound working knowledge of current landlord and tenant legislation, including Retail and Commercial Leases Act and the Law of Property Act. Demonstrated leadership in operating with the highest ethical standards, including the ability to exercise sound judgement and ensure integrity, transparency, and fairness in all decision-making processes. Postgraduate qualifications and relevant experience or an equivalent combination of experience and / or education and / or training are required, however, previous experience in higher education, while advantageous, is not necessary About Property, Facilities and Development This role is part of the Property, Facilities and Development (PFD) team at Flinders. Our team works across all of Flinders' places, spaces, and physical infrastructure. We work across five key areas: Strategic Planning and Customer Experience; Capital Development; Customer and Site Services; Sustainability and Strategic Projects. The team are responsible for the planning, development, capital delivery, management, and maintenance of all University spaces to ensure they are fit for purpose and support Flinders to deliver its strategic objectives. Life at Flinders We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world. Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders? 17% Superannuation + salary packaging options Flexible working arrangements Our commitment to wellbeing through our Thriving@Flinders initiative Wide range of professional development activities and services, including exclusive staff study offers We embrace diversity and promote equity and inclusion for all students and staff, as shown through our three SAGE Cygnet Awards. Vibrant campus life and amenities including on campus health care services, gym and childcare centre(Bedford Park, South Australia) Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Please see here for our Reconciliation Action Plan Please see here for our Indigenous Workforce Strategy Prescribed Conditions for Employment Flinders University is committed to providing a safe, respectful and inclusive environment, free from gender‑based violence. Appointment to this role is conditional on the completion of required pre‑employment checks and declarations, each of which must be satisfactory to the University. This includes a Gender‑Based Violence declaration, in accordance with the National Higher Education Code to Prevent and Respond to Gender‑Based Violence (2025), and a Nationally Coordinated Criminal History Check. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. How to Apply and Information You are required to submit a Suitability Statement addressing the Key Position Capabilities of the position description. For more information regarding this position, or a confidential chat, we highly encourage you to contact Peter Keys Certification National Police Check - Australian Federal Police Applications to be submitted before 10.00pm: 21 May 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.
Salary
$133,860 - $147,656 + 17% Super
Posted
8 May 2026
Professor of Education
Monash University
Australia, Clayton
Monash University
Australia, Clayton
Job No.: 691357 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: A competitive remuneration package will apply plus 17% employer superannuation Join the Faculty of Education - ranked number 2 in Australia and 18th globally (QS and THE rankings) Amplify your impact at a global top 50 University - whilst living in the 4th most liveable city in the world Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Faculty of Education at Monash University invites applications for a Professor of Education to provide outstanding academic leadership and drive internationally leading research. This is a strategic appointment for a globally recognised scholar with a strong track record of high-impact publications and success in securing major competitive research funding. The successful candidate will play a pivotal role in shaping the Faculty’s research agenda, strengthening interdisciplinary collaboration, and enhancing our global reputation for excellence in education research. Ranked #2 in Australia and #18 globally for Education (QS & THE Rankings), the Faculty offers an ambitious and collaborative environment with significant capacity for research growth and impact. The appointed Professor will lead and grow a program of internationally recognised Education research, including securing substantial competitive research funding and building large-scale research initiatives. The appointment will also provide mentoring and capacity building for early- and mid-career researchers and HDR candidates. The Professor will foster strategic partnerships across academia, industry, and policy sectors and provide leadership in teaching and curriculum development. This role offers a unique opportunity to shape the future of education research and practice within a high-performing and globally connected Faculty of Education. About You You are an internationally recognised leader in education research, with a distinguished record of scholarly achievement and a sustained trajectory of high-quality publications. You bring: A strong track record of securing major competitive research grants and leading large-scale research programs. Evidence of research excellence and impact at an international level. Expertise in quantitative, qualitative, and/or mixed methods research. Proven leadership in building and mentoring high-performing research teams. Success in attracting and supervising high-calibre HDR students. Experience developing impactful partnerships across sectors, including government, industry, and community. You will demonstrate the capacity to shape research directions at scale, influence policy and practice, and contribute to a vibrant, collaborative academic culture. Applicants from all areas of Education and Educational Psychology are encouraged to apply. About Monash University At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash. Join the pursuit of our purpose to build a better future for ourselves and our communities - #ChangeIt with us. Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents. To Apply For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Applicants are required to submit a written response addressing each of the Key Selection Criteria, not exceeding two pages in length. Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Mary Ryan, Dean, Faculty of Education, Mary.Ryan@monash.edu Position Description: Professor of Education Applications Close: Sunday 7 June 2026, 11:55pm AEST
Salary
Competitive
Posted
8 May 2026
Post-doctoral Fellow in the Department of Microbiology, School of Clinical Medicine
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 536216 Work type: Full-time Department: Department of Microbiology, School of Clinical Medicine (20700) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow (several posts) in the Department of Microbiology, School of Clinical Medicine (Ref.: 536216), to commence as soon as possible for one or two years, with the possibility of renewal subject to satisfactory performance. These posts are created specifically to bring new impetus and talent to the University’s research enterprise, and to meet the strategic research needs identified by the Department of Microbiology, School of Clinical Medicine. Applicants should have a Ph.D. degree with extensive research experience in cellular and molecular biology, cancer biology, immunology or virology; and preferably with basic laboratory skills of animal studies (mouse models). The appointees will conduct research projects related to influenza virus, coronavirus, or Epstein-Barr virus under the supervision of Professor Honglin Chen. The appointee may work off-campus occasionally on collaboration projects with other academic institutions and companies. Please find more details for research projects under Professor Honglin Chen’s lead at https://hub.hku.hk/cris/rp/rp00383. Those who have responded to the previous advertisement (Ref.: 533931) need not re-apply. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above posts. Applicants should apply online, upload a cover letter and an up-to-date C.V. Review of applications will start as soon as possible and continue until August 5, 2026, or until the posts are filled, whichever is earlier.
Salary
Competitive salary
Posted
8 May 2026
Post-Doctoral Associate / Associate Research Scientist in the Division of Engineering
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of future structures and resilient infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications; and previous or relevant experience in mentoring or supervising undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences, mentor undergraduate students, and participate in writing research grant proposals. To be considered, all applicants must submit the following documents in PDF format via Interfolio: Cover letter Curriculum vitae with full publication list Statement of research interests and plan Transcript 2 Recommendation letters Three sample (recent and/or most relevant) journal publications Contact details of two references The terms of employment include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children (if applicable). Applications will be accepted immediately and candidates will be considered until the positions are filled. If you have any questions or require more information, please email: mohamed.moustafa@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. UAE Nationals are encouraged to apply
Salary
Competitive
Posted
8 May 2026
Senior Lecturer in Big Data & Artificial Intelligence
Oxford Brooks College, Chengdu University Of Technology
China, Chengdu
Oxford Brooks College, Chengdu University Of Technology
China, Chengdu
Location: Chengdu, China (On-site) Institute: CDUT-Oxford Brookes College Programme: MSc in Big Data & Artificial Intelligence Start Date: September 2026 or earlier We are seeking highly motivated and qualified academics to join our dynamic team at the CDUT-Oxford Brookes College. This role is at the heart of our new MSc in Big Data and Artificial Intelligence, a programme designed to equip students with the advanced technical skills and theoretical foundations required to excel in the rapidly evolving fields of data science, machine learning, and artificial intelligence. If you are an educator passionate about shaping the next generation of AI and data science professionals, we want to hear from you. The Role You will deliver high-quality, practical teaching across the programme's core modules, which cover the full spectrum of data science and AI. Your teaching portfolio will include: Programming and Software Tools (COMP7001): Introducing students to the principles of programming, software engineering, and the use of software libraries for data science and AI solutions. Principles of Data Science (COMP7035): Guiding students through data collection, processing, analysis, and visualisation methodologies, with an emphasis on data security and privacy. Machine Learning and Data Mining (COMP7034): Teaching students the fundamentals of machine learning algorithms, data mining techniques, and responsible AI practices, including model evaluation, bias mitigation, and ethical considerations. Statistical Modelling (COMP7036): Equipping students with regression analysis techniques, generalised linear models, and advanced statistical methods essential for robust data analysis. Research Methods (COMP7037): Preparing students to conduct rigorous, ethical research, including literature review, project planning, and understanding of professional and legal issues in computing. Group Software Project (COMP7029): Facilitating collaborative, live project experiences where students apply software production principles, project management, and teamwork to solve real-world problems. MSc Dissertation in Computing Subjects (COMP7039): Supervising students through their final research project, guiding them from proposal to final thesis. This role requires a strong technical foundation combined with the ability to teach complex concepts in an accessible, applied manner. You will guide students through the entire data science lifecycle, from data preparation and exploratory analysis to machine learning model deployment and evaluation, always with an emphasis on ethical practice, information security, and responsible innovation. In addition to postgraduate teaching, you will be expected to teach and mentor final-year (Level 6) undergraduate students enrolled in the dual bachelor's degree, including supervising their final year research projects. The teaching load is up to 20 class periods per week. Due to the profile of our students, who are often working professionals, teaching may be scheduled in the evenings or on weekends. You will also provide at least 6 class periods per week of office hours for student support and mentorship. Key Responsibilities: Deliver innovative, practical, and theoretically grounded teaching across data science, machine learning, AI, and software development modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and data science tools to collect, process, analyse, visualise, and model complex datasets. Guide students in understanding the ethical, legal, and security implications of AI and data-driven systems, fostering a culture of responsible practice. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied AI and data science problems. Facilitate group software projects, helping students develop collaboration, project management, and technical documentation skills. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. Uphold the highest standards of education and scholarly engagement. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach practical programming and data science skills, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data science and AI (e.g., Python, R) and relevant libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). A strong understanding of machine learning algorithms, statistical modelling, and data mining techniques. Proven experience in supervising postgraduate dissertations and/or undergraduate final year research projects. Excellent communication and interpersonal skills, with the ability to work effectively in a cross-cultural environment. A commitment to fostering student success and a positive learning experience. Willingness to teach in the evenings or on weekends as required. Desirable: Experience teaching within the British higher education system or on British university modules. Experience teaching in transnational education (TNE) or joint programme settings. A postgraduate degree (PhD or Master's) obtained from a British university. An emerging or established research profile in AI, machine learning, data science, or a related field, evidenced by publications. Experience with industry collaboration or applied AI/data science projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies. Experience facilitating group projects or industry-sponsored live projects. Equality, Diversity, and Inclusion: We are committed to building a diverse and inclusive academic community. Female candidates are strongly encouraged to apply. Salary & Benefits: Competitive Package: An attractive salary commensurate with qualifications and experience. Relocation Support: Comprehensive support including annual flight allowance. On-campus accommodation or a housing allowance may be available subject to availability and university policy at the time of appointment, and full visa/residence assistance. Career Growth: Opportunities for personalised professional development and career advancement. Research Opportunities: Potential to engage in research aligned with the institute's strategic goals. Lifestyle Assistance: Dedicated support team to help with all aspects of living and settling in Chengdu. About CDUT-Oxford Brookes College The CDUT-Oxford Brookes College is a prestigious transnational education partnership between Chengdu University of Technology (CDUT) and Oxford Brookes University, United Kingdom. CDUT has offered TNE programmes since 2004. The college is home to around 100 academic staff members serving a student body of over 2,000. Our qualified and experienced faculty deliver a range of programmes, currently offering four undergraduate degrees in Business Management, Accounting and Finance, Software Engineering, and Computer Science. The Institute is now expanding to offer postgraduate programmes, including this new MSc in Big Data and AI. As a member of our faculty, you will join a collaborative and supportive academic community committed to fostering student success and advancing cross-cultural education. About the City Chengdu, the capital of Sichuan Province, is one of China's most dynamic and liveable cities. The university is conveniently located in the city area, with easy access to Metro Lines 7 and 8, allowing for effortless travel across the city. Known for its rich history, vibrant culinary scene, and relaxed lifestyle, Chengdu offers an exceptional quality of life. With its modern infrastructure, growing expatriate community, and relatively low cost of living compared to other major Chinese cities, Chengdu provides an ideal setting for international academics. How to Apply Interested candidates are invited to submit their application materials to careers-pg@zy.cdut.edu.cn Please submit the following: A detailed CV outlining your academic qualifications, teaching experience, research profile, and relevant professional experience. A cover letter (max. one page) explaining your teaching philosophy, preferred module(s) and how your skills and experience align with the selection criteria. Application Deadline: May 22nd, 2026 Shortlisted candidates will be asked to complete our internal job application form and will receive further details on salary and benefits. For inquiries about the position, please contact Waseem Abbasi at waseem@zy.cdut.edu.cn Due to the large number of applications, only shortlisted candidates will be contacted. We prefer to hire staff members who intend to stay for several years. The partnership is an equal opportunities employer, but successful candidates must be able to meet the requirements to obtain a Chinese work permit. We look forward to receiving your application and welcoming you to our team in Chengdu.
Salary
Competitive
Posted
8 May 2026
Subjects Taught at University Rey Juan Carlos
See below for a range of subjects taught at University Rey Juan Carlos
Arts and Humanities
- Architecture
- Art, Performing Art and Design
- History, Philosophy and Theology
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
- Economics and Econometrics
Computer Science
- Computer Science
Education Studies
- Education
Engineering
- Chemical Engineering
- Electrical and Electronic Engineering
- General Engineering
- Mechanical and Aerospace Engineering
Law
- Law
Life Sciences
- Biological Sciences
- Sport Science
Medical and Health
- Medicine and Dentistry
- Other Health
Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy
Psychology
- Psychology
Social Sciences
- Communication and Media Studies
- Politics and International Studies
- Sociology