University of Malaya

Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development. Preferred Qualifications: Experience in the following will be preferred: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from monitoring systems Validation of modeling results against experimental and monitoring data Postdoctoral Associate Employment at NYUAD: The terms of employment include highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children as well as other benefits. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Mostafa Mobasher at mostafa.mobasher@nyu.edu. Applications may be submitted on https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html. 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. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to work on Deep Reinforcement Learning (DRL). The successful applicant will lead the labs music generation initiative. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive literature reviews. Applicants must have an undergraduate degree in computer science, have significant experience with deep learning with PyTorch, and have expertise in reinforcement learning. The applicant should have already completed several major projects in DRL. The applicant should also possess excellent mathematical and English skills. 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. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, at least 2 letters of recommendation, all in PDF format. If you have any questions, please email Dr. Keith Ross: keithwross@nyu.edu. 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. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.

Shape the Future of Research at Monash The Organisation  At Monash, work feels different – it is driven by purpose and possibility. Our people feel a deep sense of belonging and contribution, knowing they’re part of something extraordinary. Here, you’re not just joining a university; you’re contributing to a collective effort to create lasting impact. Our focus is clear: transformative research, exceptional education and a global enterprise network. We activate our strengths and bold ideas to address some of the challenges of our time - Climate Change, Thriving Communities, and Geopolitical Security. The Research and Enterprise Portfolio is key to the delivery of our strategic vision, ensuring Monash delivers meaningful outcomes to the communities we serve, and remains at the forefront of higher education’s evolving landscape. The Role Reporting to the Deputy Vice-Chancellor (Research and Enterprise) and Senior Vice-President, and working collaboratively with peers across the full portfolio, the role will contribute to the organisation-wide expansion of Monash’s research capability, performance and impact. Joining a high-performing team, you will continue to deliver the strategy for major research initiatives and grant success, strengthening the University’s position across national competitive schemes, emerging funding sources, industry partnerships and international opportunities.  The Pro Vice‑Chancellor (Research) engages with faculties and research units to drive continuous improvement in research outcomes. In addition, the position holds responsibility for rankings strategy, research ethics and integrity, defence and regulatory compliance, responsible partnerships, impact performance, and governance of major research centres. Working across the entire Research and Enterprise leadership team, the Pro Vice‑Chancellor (Research) will strengthen a unified, strategic and responsive research ecosystem for the University and its valued researchers. The Pro Vice-Chancellor (Research) will join a diverse team of specialists across both academic and professional streams and will lead with accountability, strategic clarity and strong operational execution. The role is primarily responsible for functions including defence, foreign interference, AI and data security and will uphold high standards, shaping a cohesive, high‑performance culture. This is an exciting opportunity for an experienced and visionary leader to help shape the next era of Monash University’s research success. The Person  Monash University is seeking an energetic and highly effective leader who can complement the existing high-performing team to drive the next phase of its global research ambition. The role will be suited to an accomplished academic leader with a stellar record of research and an international reputation for excellence. With a penchant for deep diving into metrics, modelling performance and demonstrating impact with clarity and conviction, you will bring sharp analytical instincts, strong judgement and a natural ability to turn data into insight.  Candidates will demonstrate the ability to shape and respond to government research policy, uphold the highest standards of research integrity in line with the Australian Code for the Responsible Conduct of Research, and confidently act as the designated authority for ensuring compliance with research misconduct, integrity, compliance and ethics requirements.  Monash is a large and dynamic organisation and competitive candidates will evidence a sophisticated understanding of the Australian and global research landscape together with the ability to effectively lead in complex and largescale universities. You will have a proven track record of academic operational leadership beyond your own research program, expertly steering strategy, projects, resources and diverse teams within a research‑intensive university. Above all, you will be visionary, energetic, collaborative and highly influential, driven by a genuine ambition to lift research performance and shape the future of Monash’s research ecosystem.  How to Apply Odgers is assisting Monash University with this appointment. For further information and a confidential conversation please contact Jenny Sutton at jenny.sutton@odgers.com or Sophie Malone at sophie.malone@odgers.com A copy of the candidate brief is available for download by following the below link: www.odgers.com/95276 Applications close: Monday 23 February 2026 and be submit by following the above link. Panel interviews will be held in late-March/early-April 2026.