China Europe International Business School (CEIBS)

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 Research Engineer will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate the models into a working system prototype. Perform data annotation. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. Prepare project documentation, technical reports, and academic publications. Collaborate with industry partners and contribute to technology transfer efforts. Support the design of simple web interfaces or dashboards to visualise CV model outputs, working alongside developers when needed. Contribute to system integration by applying familiarity with backend/frontend workflows, ensuring CV models can be accessed through user-facing applications. Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.   Technical Requirements: Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques  Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong computer vision expertise and proven success in 1-2 substantial CV projects are welcome to apply regardless of domain-specific experience Familiarity with Web/Full-Stack Development: Basic understanding of frontend frameworks (e.g., React, Angular, or Vue.js) Eposure to backend development (e.g., Flask, Django, Node.js) Awareness of RESTful APIs and microservices architecture. General knowledge of database systems (SQL/NoSQL). Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling Educational Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices

Description NYUAD Water Research Center at New York University Abu Dhabi, seeks to recruit a research scientist to work on the development of membrane desalination to treat water from the Arabian Gulf feed sources and on the design and scale-up of low energy membranes for water purification, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering. The successful applicant will drive an exciting project on developing functional membrane materials, including nanostructured polymer membranes tailored to microfiltration, ultrafiltration, membrane distillation, nanofiltration and reverse osmosis. The candidate will employ advanced membrane fabrication techniques and characterization tools (SEM, TEM, DSC, TGA, BET, etc.) to establish fabrication-structure-property-performance relationships in novel materials for sustainable desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and engineers, graduate students and undergraduate students. The successful applicant will manage projects and work closely with postdoctoral researchers, build deep technical knowledge and develop transferable solutions. He/she will participate in developing novel concepts and writing proposals. He/she will work towards solving complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will have a demonstrated knowledge of materials science and engineering, membrane fabrication techniques, membrane characterization tools and separation processes. He/she will be detail-oriented, well-organized and will possess excellent verbal and written communication skills. The successful candidate should be able to work independently and as part of a team. Applicants must hold a PhD in Materials Science and Engineering, Polymer Chemistry, Chemical Engineering, or a related field, and have a minimum of five years’ experience as a Postdoctoral Research Associate. Excellent experimental and analytical skills relevant to the project (in particular membrane fabrication and characterization) are required. Candidates with demonstrated history of peer reviewed publications in a related area, along with prior expertise in materials science and analytical chemistry will be preferred. This position will begin in March 2026 as a two-year contract, renewable depending on performance. 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, a one-page summary of research accomplishments and interests, and at least 2 references, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: nhh2@nyu.edu. 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 Center for Astrophysics and Space Science (CASS) at NYUAD is looking to appoint new independent fellows working in one (or more) of the following center's research fields Extrasolar Planets Galactic Astrophysics (including compact objects) Extragalactic Astrophysics and Cosmology Astroparticle Physics (Dark Matter searches, gamma-ray spectroscopy, gravitational waves) The center currently consists of eight faculty members and more than 25 researchers and PhD students. The Center possesses the unique possibility to investigate fundamental questions in astrophysics, astroparticle physics, and planetary physics from several points of view, with the expertise of its members ranging from collecting and analyzing state-of-the-art data on the nature of the visible and invisible matter in the Universe, to detailed theoretical and numerical studies from planets to galaxies, and linking them together cohesively. We expect successful applicants to work towards improving the collaborations and connections among the different areas. We invite applicants to visit our website to learn more about current research projects at CASS. The center fellows will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank Telescope, the Very Long Baseline Array, and Las Cumbres Observatory, and is a participant in SDSS-V. Applicants should have a PhD in astronomy, astrophysics, physics, or a closely related field. The appointment will be for an initial period of two years with a likely extension to a total of three years. CASS fellows will have dedicated funds for traveling, computing, publications, etc. The preferred starting date is Fall of 2026. Applicants need to submit a cover letter, curriculum vitae, publication list, and a brief (ideally 2-3 pages) statement of research interests, transcript and three letters of recommendation. Applicants are strongly encouraged to outline in their research statement how they plan to help create connections between the different research areas of the CASS. Applications received before November 30, 2025, will receive full consideration, positions will stay open until filled. If you have any questions, please e-mail Prof. Andrea V. Macciò (Center director) maccio@nyu.edu The terms of employment include a very competitive salary, housing allowance, medical insurance, educational subsidies for children, and other benefits. Please note that the UAE does not levy income tax. 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.