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Salaam University

Hodan, Somalia
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Post-Doctoral Associate in the Division of Science (Mathematics) - Dr. Mostafa Sabri

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Mathematics Program in the Science Division, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa Sabri. The Mathematics Program at NYUAD is quickly expanding, the candidate will find many international experts and postdocs with whom to interact. Weekly seminars are in place across the various research areas represented at NYUAD. The successful applicant will also receive a mobility credit to participate in conferences. Applicants must have a PhD in Mathematics, with a strong background in one of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics. For consideration, applicants need to submit a cover letter, a curriculum vitae with a full publication list, a research statement, a transcript, and at least two letters of reference, all in PDF format. Shortlisted candidates will be interviewed twice. In the first interview, the candidate will give a talk summarizing earlier research. The second interview will be to discuss a research project in collaboration with Mostafa Sabri around the aforementioned topics. Candidates are advised to reflect upon such collaborations and include them in the research statement before applying. The duration of the postdoc is for 2 years, with a probation period of 6 months. The starting date is flexible but most likely to be in Fall 2025. If you have any questions, please email Mostafa Sabri at mostafa.sabri@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: 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

Post-Doctoral Associate in the Center for Brain & Health – Dr. David Melcher

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Perception and Active Cognition laboratory in the Center for Brain & Health, New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate to work on the mechanisms underlying mental processing speed. The successful applicant will drive a fascinating project that links processing speed measures to previously acquired functional and structural MRI data. The project will also involve simultaneously acquired and co-registered fMRI and EEG measurements. Measures of cognitive “Speed of Processing” are important for studies of healthy aging and many disorders, including multiple sclerosis, autism spectrum disorders, dyslexia, and schizophrenia, as well as diabetes and obesity. This project investigates the neural correlates of Speed of Processing and its subcomponents, translating into a more complete understanding of the mechanisms involved and their role in brain health. This project combines MRI and EEG/MEG studies with behavioral, genetic, and clinical measures to yield a more complete picture of how processing speed is related to health outcomes.  The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students.  Applicants must have a PhD in psychology, cognitive neuroscience or a related field. Strong neuroimaging data processing skills relevant to the project are required. Applicant must have no more than five years post receipt of this degree are eligible for a postdoctoral appointment. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript of degree, statement of research interests and the names of three references, all in PDF format. If you have any questions, please email Prof. Melcher at dm93@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. 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.

Salary

Competitive

Posted

8 May 2026

Research Fellow / Engineer (Renewable Energy and Coastal Protection) - TZY6

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


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. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: 1. Wave Stochastic Analysis and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures.  Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze mechanical connectors for the integration of multi-purpose floating breakwater systems, ensuring structural stability and durability. 4. Design and Integration Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs), tidal energy systems, and solar energy platforms. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave flumes or basins to validate computational models. Analyze experimental data to improve and validate the floating breakwater design. 6. Research Documentation and Dissemination: Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders. Contribute to project proposals and progress updates for funding agencies. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. 7. Project Management Support: Ensure timely execution of project milestones Coordinate with external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry standard will be an advantage Ability to work independently and in teams in both lab and field environments. Excellent communication (verbal and written) and teamwork abilities Key Competencies 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 Show strong initiative and take ownership of work

Salary

Competitive

Posted

8 May 2026

Provost

RMIT UNIVERSITY

RMIT University

Australia, Melbourne

institution

RMIT University

Australia, Melbourne


The Organisation RMIT University is a global university of technology, design and enterprise and built for relevance, impact and scale. We create transformative experiences for learners and deliver real‑world impact through education, research, innovation and deep engagement with industry, communities and government. With campuses across Melbourne and a strong international footprint in Vietnam and Europe, RMIT is proudly global and distinctly applied. We don’t sit on the sidelines - we partner and shape what’s next. Our people are central to our success. Guided by our values of Inclusion, Imagination, Integrity, Courage, Passion and Impact, RMIT is a place where ideas move quickly, leadership is shared and diverse perspectives are not only welcomed, but expected. We respectfully acknowledge the Woi Wurrung and Boon Wurrung peoples of the eastern Kulin Nation as the Traditional Owners of the lands on which our campuses stand, and we are committed to reconciliation and Indigenous self‑determination across our systems, culture and decisions. The Role Reporting to the Vice‑Chancellor and President, the Provost is RMIT’s senior academic leader, responsible for the coherence, quality and performance of the University’s academic mission across education and research, including RMIT Vietnam. The Provost leads at scale, with end‑to‑end responsibility for academic strategy, policy, performance and investment across Colleges, Vocational Education, and Research and Education portfolios. This is a role with real authority and real consequence - shaping how a large, complex, dual‑sector university delivers on its purpose. As a trusted partner to the Vice‑Chancellor and a key member of the University Executive Committee, the Provost works across the enterprise to drive academic excellence, enable strong governance and balance ambition with disciplined execution and risk management. The role has line‑of‑sight leadership of the Deputy Vice‑Chancellors across academic colleges, Vocational Education, Research & Innovation and Education, as well as the Pro Vice‑Chancellor, RMIT Vietnam. Central to the role is building a strong “one RMIT” mindset -connecting disciplines, sectors and geographies, while representing the University with credibility and influence at the highest national and international forums. The Person You are a credible, contemporary academic leader with a strong record of leadership at senior executive level in large, complex organisations. You bring deep expertise across both education and research, and a clear understanding of how technology, data and AI are reshaping the academic landscape. You lead through influence rather than position. An exceptional communicator and collaborator, you are comfortable engaging governing bodies, senior leaders, partners and policymakers and you know how to translate strategy into outcomes at scale. Strategic and future‑focused, you are equally comfortable in detail, able to navigate regulatory complexity, governance expectations and financial realities without losing sight of academic quality or impact. Most importantly, you role‑model inclusive, values‑led leadership aligned to RMIT’s Be–Know–Do framework, and you are motivated by purpose, scale and the opportunity to shape what comes next. How to Apply For further information or a confidential discussion, please contact the consultants leading the search: Andrea Ripani, Head of Delivery, at Andrea.Ripani@odgers.com or on +61 428 806 805 or Jenny Sutton Jenny.Sutton@odgers.com Applications will close on Thursday 4 June 2026 and should be submitted via the Odgers website www.odgers.com/95761

Salary

Competitive

Posted

8 May 2026

Senior Lecturer in Big Data & Artificial Intelligence

Oxford Brooks College, Chengdu University of Technology

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu

institution

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

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