The Hong Kong Polytechnic University Faculty of Business

Job Responsibilities Teach and assess courses in the following core accounting and finance subjects: Cost and Investment Accounting Accounting and Finance Develop course materials and curricula aligned with international standards and industry financial practices Provide academic advising and mentoring to undergraduate students interested in finance and accounting careers Engage in applied research and publish in peer-reviewed journals Collaborate with industry partners for consulting projects and practical student training in real-world financial scenarios Job Qualifications Master's degree or above in Accounting, Finance, Business Administration, Economics, or closely related field Strong expertise in accounting and finance Experience with accounting software and financial tools preferred Industry experience in accounting, finance, investment analysis, or financial consulting strongly preferred Ability to work effectively in an international and multicultural environment Excellent communication skills in English; Chinese language skills are a plus Expected Onboarding Date August 2026 Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality Paid Holidays Statutory Holidays (13days) Annual Leave (25 days) Paid Sick Leave Paid Marriage Leave Paid Maternity Leave Paid Paternity Leave Parental Leave How to apply Please prepare the following documents: Current English CV(including full publication list) Cover Letter(addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor’s (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as ” Position – Your Name” Please send all files to recruitment@hibiuh.edu.cn

Job Purpose: The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement scene mapping, environment perception, and path-planning algorithms using LiDAR and RADAR data to support evacuation guidance and first-responder navigation. Build real-time predictive models for fire intensity and spread forecasting and integrate LLM-based scene description and decision support into an end-to-end deployable system. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through projects, internships, or research assistantships considered sufficient. Prior experience in publishing is desirable.

Ref.: 536753 Work type: Full-time Department: Department of Psychology (30200) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Department of Psychology (Ref.: 536753) Applications are invited for appointment as Post-doctoral Fellow in the Department of Psychology (Ref.: 536753) to commence on August 3, 2026, or as soon as possible for two years, with the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in Developmental/Educational Psychology or other related disciplines. They should have good academic publication record in developmental/educational psychology. They should also have the experiences of overseeing the implementation of a large-scale research project. Knowledge and experience in assessment development are desirable. Applicants should have a high level of writing proficiency in English and demonstrated ability in writing up research findings for both academic and general audiences, and be self-motivated, responsible and able to work independently and within a team. The appointee will work on various projects related to children’s and adolescents’ mathematics and science learning. Duties include literature review, development of assessment materials, liaise with external parties, supervision of research staff and research interns, data processing and analysis, preparation of manuscripts and reports, development of new research initiatives, and other research-related duties as assigned. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., and provide the names of three referees on the online application form. Review of applications will commence as soon as possible and continue until July 19, 2026, or until the post is filled, whichever is earlier.