XU Exponential University of Applied Sciences

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.

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. We are seeking a motivated Research Engineer to join our team in developing an AI Training Studio — an innovative platform for AI-vision-based quality inspection in manufacturing plants. The system will enable users to drag and drop foundational AI models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration, inference deployment) and the frontend interface (user-friendly drag-and-drop studio, similar to visual workflow tools). This role is ideal for an engineer eager to gain experience in building applied AI systems that bridge research and industrial deployment. Key Responsibilities Backend Development Design and implement pipeline orchestration for drag-and-drop AI model workflows. Integrate foundational models (classification, detection, segmentation, enhancement) into modular pipelines. Build APIs to manage model training, deployment, and inference. Automate the process of pushing trained models into an inference engine. Frontend Development Develop an intuitive drag-and-drop web interface for building AI pipelines (similar to the attached prototype). Enable users to configure model parameters, connect modules, and monitor training progress. Display performance metrics (e.g., inference time, GPU utilization, throughput, ROI impact) in real time. System Integration Work with the research team to connect AI pipelines to robotic control systems. Support the deployment of trained pipelines in manufacturing testbeds. Job Requirements Have relevant competence in the areas of software and AI development. Have a degree in IT or Engineering. Experience in AI and any programming language will be advantageous.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Research Assistant Professor Department of Digital Arts and Creative Industries (Post Ref.: 25/224) The Department of Digital Arts and Creative Industries (DACI) is an interdisciplinary and innovative learning hub that encompasses a wide range of areas, including film and television, animation, museums and curating, art history, as well as digital arts and immersive media. We offer broad theoretical study and practical training for students seeking careers in Hong Kong and the Greater Bay Area's burgeoning creative and cultural industries. DACI currently offers three Undergraduate programmes, BA (Hons) Aminations and Digital Arts, BA (Hons) in Creative Media Industries and BA (Hons) in Visual Studies, and two taught master programmes, MA in Creative and Media Industries (MACMI) and MA in Curating and Art History (MACAH). For more information about the programme, please visit https://www.ln.edu.hk/daci/. DACI is inviting applications for fixed-term position of Research Assistant Professor to contribute to teaching and service to MA in Creative and Media Industries (MACMI) programme. The appointee is expected to: i) teach relevant MA-level courses; ii) supervise MA-level capstone projects; and iii) contribute to service and development of the Department. Requirements Applicants for the position should have: (i) A PhD degree in relevant areas in film and media studies; (ii) Good track record of refereed publications, awards and competitive grants; (iii) Up-to-date knowledge in the literature of media and creative industries with demonstrated strengths along institutional, historical or technological lines; (iv) Teaching experience in some the following subjects: theory, history, and methods of media and creative industries; comparative cultural policy in East Asia; Hong Kong creative and media industries; new technology and media industries; (v) Familiarity with regional mediascapes and current East Asian creative and film industries. Candidates should have obtained / been conferred a PhD degree or an equivalent qualification for no more than five years prior to the commencement of the appointment. The appointees are expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. Salary and Benefits The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on an initial contract of up to three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.