Universidad Peruana de Ciencias Aplicadas (UPC)

Description The Center of Artificial Intelligence and Robotics (CAIR) at New York University Abu Dhabi seeks to appoint an Associate Research Scientist. Motivated applicants with a strong background in Machine Learning, Robotics, Haptics, and interest in leading cross-disciplinary research to study multimodal interaction are encouraged to apply. Applicants must have received a Ph.D. in electrical engineering, computer engineering, computer science or a related field by the time they join, and at least three years of post-doctorate experience. Excellent communication skills in English, the ability to work in multi-disciplinary teams, and scientific creativity are essential.  NYUAD offers a stimulating research environment led by a distinguished research community and supported by state-of-the-art research facilities. The terms of employment are competitive and will include housing, travel 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 including a complete list of publications, transcript, statement of research interests, and at least two letters of recommendation, all in PDF format. For more information about the center, please visit our website: https://cair.nyuad.nyu.edu/ If you have any questions, please email Dr. Mohamad Eid: mae8@nyu.edu or Dr. Yi Fang yf23@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. UAE Nationals are encouraged to apply.

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 aspires to become 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: Professor and Director Pan Sutong Shanghai-Hong Kong Economic Policy Research Institute (Post Ref.: 24/245) Pan Sutong Shanghai-Hong Kong Economic Policy Research Institute (PSEI) aims to promote policy-related research on economic development of the Mainland and Hong Kong. It will synergise resources and expertise in the Mainland and Hong Kong to strengthen research on salient issues related to the economic and financial development of the two places. It will also provide research consultancy on industry and economic policies, in addition to offering policy advice to the authorities to foster mutual prosperity of the Mainland and Hong Kong. The Institute is seeking an outstanding scholar with distinguished scholarly accomplishment in research, teaching and knowledge exchange in the field of policy-related research on economic development of the Mainland and Hong Kong. The appointee will be appointed as a Professor in the Department of Economics and concurrently as Director of the PSEI. The Director of PSEI will be expected to (i) provide strategic direction and leadership for the operation of the Institute to ensure research quality and effectiveness; (ii) formulate and implement strategies for networking and building rapport with academia, business sector, industries and other related stakeholders; (iii) explore new collaboration opportunities with community partners and stakeholders and (iv) identify and secure funding opportunities through grants, partnerships and sponsorships to support the research projects/programmes and various activities of the Institute. General Requirements Applicants should have a PhD degree in Economics or relevant discipline, with substantial teaching experience and excellent track record in research and scholarly activities. Good networking capability and ability to establish linkages with the business sector, industries and other research stakeholders would be a definite advantage. Salary and Benefits The conditions of appointment will be competitive. The 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 three years, which, subject to review and mutual agreement, may lead to longer-term appointments with possibility of consideration for substantiation. For applicants with outstanding credentials, substantiation at appointment will be considered. Application Procedure (online applications only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. 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.

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.