King Saud bin Abdulaziz University for Health Sciences
About King Saud bin Abdulaziz University for Health Sciences
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Key Student Statistics
A breakdown of student statistics at King Saud bin Abdulaziz University for Health Sciences
- Student gender ratio
- 53 F : 47 M (1)
- International student percentage
- 0% (1)
- Students per staff
- 10.9 (1)
- Student total
- 8509 (1)
Based on data collected for the (1) World University Rankings 2026
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Post-Doctoral Associate in the Division of Social Science (Macroeconomics)
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description We are inviting applications for a Post-doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in Economics with fields of research in Macroeconomics or Computational Social Science. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and visa acquisition by the prospective postdoc candidate. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Alaïs Martin-Baillon, Jordan Norris, and Samreen Malik. The collaborative research will be on macroeconomic expectations, with a focus on firms and the role of networks. An ideal candidate may have experience with surveys and have expertise in computational economics. The position does not require teaching, but it may be possible to get teaching experience for compensation. For consideration, applicants must submit a cover letter, curriculum vitae with full publication list, a job market paper, statement of research interests, transcript and two letters of reference, all in PDF format. If you have any questions, please email Professor Martin-Baillon at alais.martin.baillon@nyu.edu and Professor Norris at jjnorris@nyu.edu. About NYU Abu Dhabi 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/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply
Salary
Competitive
Posted
8 May 2026
Senior Lecturer in Management and Business Analytics
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 Management and Business Analytics 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 Management and Business Analytics, a programme designed to equip students with the unique combination of technical analytical skills and strategic leadership capabilities required to thrive in today's data-driven business world. If you are an educator who can bridge the gap between data science and management practice, we want to hear from you. The Role You will deliver high-quality, engaging teaching across the programme's core modules, which integrate management theory with practical business analytics. Your teaching portfolio will span both the analytical and leadership dimensions of the curriculum, including: Business Analytics & Data-Driven Core: Business Analytics (AISO7003): Guiding students through data preparation, visualisation, and modelling using analytical tools and programming languages. Data Driven Decision Making (AISO7004): Teaching students to apply decision science frameworks and simulation techniques under conditions of uncertainty. The Practice of Data Analysis (AISO7002): Equipping students with statistical and econometric skills to examine data and produce actionable business intelligence. Business Intelligence (AISO7001): Demonstrating how to collect, integrate, analyse, and present business information to support strategic decisions. Management & Leadership Core: Organisational Behaviour, Leadership and Change (BMGT 7077): Exploring the human and cultural dimensions of managing change in modern, diverse organisations. Developing Skills for Leadership and Employability (BMGT 7076): Fostering students' self-awareness, reflexivity, and interpersonal skills for effective leadership and career development. Research Methods (BMGT 7021): Preparing students to conduct rigorous, ethical research, culminating in a dissertation or client project with a business analytics focus. This role requires a unique ability to help students understand how analytics informs leadership decisions. You will teach students to move from data preparation and statistical analysis to strategic interpretation and managerial action, always with an emphasis on ethical practice, sustainability, and responsible management. 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 both business analytics and management/leadership modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and statistical software to analyse data, while simultaneously developing their leadership, communication, and change management capabilities. Guide students in understanding how data-driven insights translate into strategic business decisions, fostering a holistic approach to management. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied business analytics problems. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. 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. Uphold the highest standards of education and scholarly engagement, integrating principles of sustainability, ethics, and responsible management into your teaching. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Business Analytics, Management Science, Data Science, Organisational Behaviour, or a closely related field with a strong quantitative focus. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach both technical analytics skills and management/leadership concepts, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data analysis (e.g., Python, R) and statistical software. A strong understanding of management principles, including organisational behaviour, leadership, and change management. 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 business analytics, data-driven decision-making, or a related field, evidenced by publications. Experience with industry collaboration or applied analytics projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with business intelligence tools and platforms. Experience teaching or working at the intersection of data analytics and management practice. 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 Management and Business Analytics. 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
Lecturer, School of Medicine
Adelaide University
Australia, Adelaide
Adelaide University
Australia, Adelaide
Based in the College of Health, located between the Adelaide Health & Medical Sciences Building, and the Clinical Hospital Teaching sites (Lyell McEwin, Modbury, The Queen Elizabeth, Royal Adelaide) Part-time (0.3 FTE), continuing position Salary range: $114,917-$135,932 per annum (pro rata), plus clinical loading (if applicable) (plus 17% superannuation) At Adelaide University (AU), we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Role Summary The School of Medicine are seeking a dynamic and highly motivated lecturer to be part of a team of clinical site lecturers who assist in the delivery of clinical practice curriculum for our Year 3 students. In this role you will collaborate closely with other academics to ensure the effective integration of content in workshop and tutorial activities. This is an exceptional opportunity for an academic with a background in teaching and clinical practice to contribute to medical education for the AU. You will demonstrate excellent interpersonal skills, as the role involves liaising with casual tutors, academics and clinical titleholders. Due to timetabling limitations, availability to work on Tuesdays is essential. Knowledge of assessments is desirable as the role requires you to assist with the delivery and development of workplace-based assessments and OSCE’s. Work that matters The successful candidate will primarily be based at one of the Clinical Hospital Teaching sites, playing a pivotal role in the delivery of teaching and assessment, and coordination of site-based teaching activities. Join a renowned academic institution and hospital network dedicated to excellence in medical education. Curious to learn more? please see below to discover more about this opportunity. The team The appointee will report to the Academic Lead Undergraduate, in the School of Medicine This role encompasses educational skills, academic support, and administrative responsibilities across both institutions, requiring a commitment to excellence in teaching, research, and clinical practice. Visit the AU website to learn more about The College of Health. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is well suited to someone who enjoys variety and meaningful interaction. You will engage with students, clinicians, researchers and the wider community across both academic and healthcare settings, with a broad range of responsibilities that keep your workday interesting and engaging. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: To be successful you will need: Current valid AHPRA registration as a medical practitioner with experience working in Australia as a medical practitioner and an awareness of clinical resources to ensure teaching materials reflect best practice. Valid Central Adelaide Local Health Network (CALHN) Public Patient Indemnity insurance or a commitment to arrange this prior to commencement if required. Demonstrated experience in innovative teaching methods at a tertiary level &/or postgraduate qualifications in medical education. Proven ability to contribute successfully to a multidisciplinary work environment, including excellent communication and organisational skills and the ability to work as part of a team. Demonstrated experience with online learning management systems and information technologies to support student learning. A student-focussed approach to education, including the ability to provide and respond to high-level feedback. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Applying is simple. Simply click on the Apply Now button and upload: your current CV a cover letter explaining your interest and suitability for the role. The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm Friday 29 May 2026 Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. For further information about this opportunity, please contact (quoting reference number 493013): Dr Matthew Arnold Program Director Bachelor of Medical Studies +61 8 8313 3620 | matthew.j.arnold@adelaide.edu.au Pursuant to the Child Safety (Prohibited Persons) Act 2016 (the Act) and the Child Safety (Prohibited Persons) Regulations 2019 (the Regulations), this position has been deemed prescribed. This role will require the successful candidate to hold a current Working with Children Check.
Salary
$114,917 - $135,932 per annum (pro rata)
Posted
8 May 2026
Lecturer in IC Design and Computer Architecture
Vietnamese-German University
Vietnam
Vietnamese-German University
Vietnam
The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in IC Design and Computer Architecture. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is of advantage. The successful candidate will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach graduate courses in the Master's program in Computer Science (MCS) and undergraduate courses in the Bachelor's program in Computer Science (CSE). The expected workload for the in-class lecture conduction is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on the following modules: Computer Architecture Hardware Description Languages & Verification VLSI Design Digital System Design Fundamental courses in related areas The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring Ph.D. students. Research Responsibilities We expect the successful candidate, as a faculty member of a research-oriented university, to significantly contribute to the scientific profile of VGU through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of computer-aided design of ICs & systems, verification, simulation, system on chip and AI in IC design. The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the Computer Science program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a Ph.D. in Computer Engineering or a closely related field, preferably from a well-known international university. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on IC design and system on chip or other areas closely related to it Proven expertise in design for testability, verification techniques, gate array, design partitioning and SoC integration of components Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area Proven teaching experience with strong self-motivation combined with a passion for teaching and research Experience in industry is of advantage Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1] Employment benefits The successful candidate will integrate himself/herself into an initiative on AI research and several interdisciplinary research groups at VGU. He/she enjoys access to state-of-the-art laboratories. VGU is currently acquiring powerful AI servers, workstations and data storage to enable long-term research. VGU provides institutional research grants of up to 350 million VND per project and offers financial support for faculty to attend national and international conferences and publish their research. VGU's partnerships with German universities provide lecturers with funding opportunities for research and academic exchange. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "IC Design and Computer Architecture_[Your Name]" Your application should include: Form for basic information (Please download here, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if available, highly appreciated) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Program Academic Director at rschorr@fb2.fra-uas.de and/or Program Academic Coordinator at son.ll@vgu.edu.vn About us The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.
Salary
Competitive salary
Posted
8 May 2026
Junior Research Scientist in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@nyu.edu. 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. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. References [1] http://tiramisu-compiler.org/
Salary
Competitive
Posted
8 May 2026
Subjects Taught at King Saud bin Abdulaziz University for Health Sciences
See below for a range of subjects taught at King Saud bin Abdulaziz University for Health Sciences
Medical and Health
- Medicine and Dentistry
- Other Health