Nanjing Normal University

About RoboPrecinct@PDD SmartPrecinct@PDD initiative aims to develop a precinct-scale robotics and embodied AI ecosystem at Punggol Digital District (PDD). The programme establishes shared digital infrastructure, regulatory frameworks (including cybersecurity and safety), embodied AI capabilities, industry collaborations, and real-world test-bedding environments to enable safe and scaled deployment of robots in PDD. The Operations Manager will support the day-to-day operations of the Programme, ensuring effective coordination, administrative support, and smooth execution of programme activities. Key Responsibilities Programme operations and administration Provide operational and administrative support for SmartPrecinct@PDD activities as well as related SIT-company joint programmes. Prepare meeting materials, minutes, and programme documentation. Maintain programme documentation and information repositories. Resource management Manage procurement processes for programme-related services, equipment, and operational needs. Coordinate budget tracking and administrative processes related to programme expenditures. Logistics and secretariat support Coordinate meetings, workshops, business trips and other events related to the programme. Provide secretariat support for programme governance meetings and committees. Requirements Bachelor’s degree in business administration, engineering, or related disciplines. 3–5 years of relevant experience in operations management. Experience in administrative support such as procurement, event coordination, and programme documentation. Strong organisational and multitasking skills. Proficiency in office productivity tools. Good written and verbal communication skills. *Note: The incumbent will be appointed as Research Engineer/Research Fellow if successful.

Ref.: 536171 Work type: Full-time Department: Department of Mechanical Engineering (14500) Categories: Teaching Staff Applications are invited for appointment as Principal Lecturer in the Department of Mechanical Engineering (Ref.: 536171), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance. The mission of the Department of Mechanical Engineering is to build upon our proud traditions and strengths by engaging in innovative, high-impact, and leading-edge research and development; creating a learning environment that maximizes student potential; incubating well-trained and enthusiastic mechanical engineers and research graduates; and serving the local and international community and industry. Applicants should possess a Ph.D. degree in Mechanical Engineering or a closely related field, along with at least twelve years of teaching experience at the tertiary level (or equivalent professional experience), with demonstrated accomplishments in high-quality teaching and pedagogy, curriculum development, administrative leadership, knowledge exchange and industry engagement. The Department places emphasis on experiential and project-based learning, and a proven track record in implementing such approaches will have a definite advantage, particularly in areas of strong and growing interest to students and teaching staff, such as robotics and airspace engineering. As taught postgraduate programs constitute a significant portion of our educational initiatives, those with extensive experience in teaching Master’s-level courses in mechanical engineering or closely related engineering disciplines will be highly preferred. The appointee will be responsible for high-quality teaching in mechanical engineering subjects at both undergraduate and postgraduate levels. This role involves the supervision of student projects and dissertations, active contribution to course and curriculum design, and ongoing review and enhancement of academic programmes, including accreditation-related activities. He/She is expected to actively engage students in learning through interactive teaching practices and incorporate these methodologies into their teaching approach. He/She should maintain active participation in knowledge exchange, connecting with the industry and the public. He/She will also be required to contribute to the departmental administration and University services. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload an up-to-date C.V. along with a comprehensive teaching statement. Review of applications will start as soon as possible and continue until May 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Ref.: 536196 Work type: Full-time Department: Centre for Information Technology in Education within the Faculty of Education (10001) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow / Senior Research Assistant in the Centre for Information Technology in Education within the Faculty of Education (Ref.: 536196).  To commence from as soon as possible to 31 August 2027. Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical implementation of digital literacy and AI literacy in the curriculum, and leadership for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and analyzing large datasets and in using generative AI tools for research purposes is a relevant strength. The appointee should also have a high level of writing proficiency for academic purposes and for a general audience in both English and Chinese. Good organizational skills, the ability to work independently and interdependently within a team on a tight schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be considered for appointment as a Senior Research Assistant. The appointee will work closely with the Principal Investigator and the project team, to conduct research in a project on “An ecological evolutionary approach to curriculum development and teacher learning for artificial intelligence literacy”. He/She will take a key role in all stages of the research, including but not limited to (a) research and instrument design; (b) data collection, management, analysis and interpretation; (c) preparation for publications in peer reviewed journals and books; (d) working collaboratively with other project team members to liaise with schools, professional bodies and other relevant stakeholders; and (e) providing assistance in administrative and dissemination work. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until June 30, 2026, or until the post is filled, whichever is earlier.