Open University of Sudan

Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore the core principles behind generative models, including advanced transformer architectures, diffusion models, and autoregressive techniques, as well as their applications in natural language processing, computer vision, and beyond. The course emphasizes hands-on learning, enabling students to understand and implement state-of-the-art methods while critically evaluating their ethical implications and limitations. Responsibilities include: Delivering high-quality instruction in Generative AI, Foundation Models, and related AI techniques. Developing and maintaining course content, exercises, and hands-on projects aligned with the latest research and industry practices. Fostering an interactive, student-centered learning environment that emphasizes experimentation, problem-solving, and critical evaluation. Mentoring and advising students in course projects and applied AI research. Collaborating with colleagues to integrate ethical and methodological perspectives into AI curricula. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Demonstrated expertise in Generative AI, Foundation Models, or related areas of machine learning. Experience with modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) and practical implementation of generative models. Strong commitment to teaching excellence and fostering student engagement. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI

(Fixed term up to 1 year) 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. Based in the Academic Quality and Standards Team, situated within the university’s Academic Registry, this is an exciting opportunity to support the development and review of the university’s taught academic portfolio, including UK and international collaborative provision. The role will provide important administrative support for the university’s mechanisms for approving and reviewing its taught academic portfolio. This will involve the completion of key administrative duties such as organising and servicing meetings, procurement duties, document production, record keeping and other general office duties. We are seeking a team player, with excellent written and verbal communication skills, and who can effectively organise and establish priorities. A good working knowledge of IT systems, in a working environment, particularly Microsoft Office applications is essential. The role is available fixed term for up to 12 months to cover a period of maternity within the team. Informal inquiries may be made to Andrew Jarrett, Head of Academic Quality and Standards at A.J.Jarrett@ljmu.ac.uk or Helen Summers, Academic Quality and Standards Team Leader (Curriculum Development and Review) at H.Summers@ljmu.ac.uk 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. 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.

Ref.: 533698 Work type: Full-time Department: Department of Civil Engineering (14100) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow in the Department of Civil Engineering(Ref.: 533698), to commence as soon as possible for one year, with the possibility of renewal.  We now invite applications for the captioned post. Duties and Responsibilities Conduct advanced research in structural health monitoring, including hardware development. Perform numerical studies and model testing. Analyze and interpret data to provide recommendations for system design and optimization. Prepare manuscripts and publish findings in peer-reviewed journals. Assist in securing external funding through grant applications and proposals. Requirements Ph.D. in Civil Engineering. Minimum of 3 years of relevant research experience. Familiarity with sensors and structural design. Strong written and oral communication skills. Proficiency in programming languages such as C/C++, MATLAB, or Python. A strong publication record is an advantage. What We Offer The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability]. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until April 30, 2026, or until the post(s) is/are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency