Shimane University

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 primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key 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: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

With over 85 years of rich heritage, The Hong Kong Polytechnic University (PolyU) has evolved alongside society and made pivotal contributions to the development of Hong Kong, the Nation and the world. The University pursues world-class excellence in education, research and knowledge transfer to nurture socially responsible professionals and leaders, as well as to drive impactful research and innovation. PolyU will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the University’s motto: “To learn and to apply, for the benefit of mankind”. Ranked among the top 100 universities globally by well-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S. News & World Report, PolyU offers a wide range of world-class educational and research programmes in seven faculties and three independent schools. PolyU has furthermore achieved commendable results in the QS World University Rankings by Subject 2025 – it is ranked in the global top 30 for seven subjects, is first in Hong Kong for three subjects, and is in the global top 100 for 26 subjects. For further details about the University, please visit PolyU’s website at https://www.polyu.edu.hk/. DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING Research Assistant Professor in Smart Manufacturing (Ref. 260304008) The Department of Industrial and Systems Engineering offers a wide scope of multi-disciplinary undergraduate and postgraduate programmes and actively engages in various applied research and consultancy work with the community. Please visit the website at http://www.polyu.edu.hk/ise for more information about the unit. Duties The appointee will be required to: (a) conduct research that leads to publication in top-tier refereed journals; (b) pursue actively external research grants, such as General Research Fund, as Principal Investigator; (c) provide quality teaching at undergraduate or postgraduate level; (d) contribute to departmental service; and (e) perform any other duties as assigned by the Head of Unit or his/her delegates. Qualifications Applicants should: (a) have a PhD degree in a related discipline; (b) preferably have at least two years of postdoctoral research experience; (c) have demonstrated promise of a high level of creative ability in research and teaching in some subdivisions of his/her field; (d) be able to demonstrate effective classroom teaching skills; and (e) be a good team player and have excellent communication skills and the ability to use English as the medium of instruction. Conditions of Service A highly competitive package including a medical benefits plan and a gratuity payable upon completion of the term which is normally for two to three years initially, with possibility of extension. Application Please submit an application through PolyU’s career website https://jobs.polyu.edu.hk/rap. Consideration of applications will commence on 18 March 2026 until the position is filled. The University’s Personal Information Collection Statement for recruitment can be found at https://www.polyu.edu.hk/hro/careers/pics_for_recruitment/. PolyU is an equal opportunity employer, dedicated to fostering an environment that embraces diversity and demonstrates inclusion of people from all backgrounds, cultures, identities and experiences where all members of the University are treated with fairness, dignity and respect. To learn more about the University’s “Statement on Equal Opportunities, Diversity, and Inclusion”, please visit our website at https://www.polyu.edu.hk/hro/equal_opportunities_diversity_and_inclusion/.

Ref.: 534505 Work type: Full-time Department: Faculty of Arts (04000) Categories: Professoriate Staff Applications are invited for a joint appointment as Associate Professor on tenure terms or Tenure-Track Assistant Professor in the Faculty of Arts and the School of Computing and Data Science (Ref.: 534505), to commence on August 1, 2026 or as soon as possible thereafter. Appointment as Assistant Professor will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. This is an open-discipline call. We are seeking outstanding Humanities scholars capable of developing a creative and innovative programme of research and teaching bridging existing disciplinary strengths in HKUArts and artificial intelligence applications. The appointee will have their tenure home in their specific (inter)disciplinary unit in the Faculty of Arts, but will be jointly appointed to the School of Computing and Data Science and will also become a member of the Institute of Data Science (IDS). As an AI+Arts hire the appointee will foster cross-disciplinary collaborations between strategic research areas in the Faculty and, with the support of the Arts Technology Lab and its staff, take a leading role in applying artificial intelligence (AI) to their research and teaching in the Arts and Humanities. They will develop and maintain high-calibre research, publish their research findings with reputable journals and/or presses, and present their research at conferences, secure external funding through applications for grants, teach courses, mentor students, contribute to service and engage in the scholarly activities of the Faculty. Their teaching will support our AI-rich programme offerings. Applicants should possess a Ph.D. in a relevant field. The ideal candidate will demonstrate a robust research record with a cross-disciplinary approach spanning multiple subfields; a strong commitment to excellence in both research and teaching; and proven academic leadership qualities to contribute to interdisciplinary programmes such as BA&BEng(AI&DataSc) and BA(HDT). The Faculty of Arts The Faculty of Arts, founded in 1912, is a research-led, English-medium faculty offering undergraduate, taught postgraduate, and research postgraduate programmes. One of the University’s three original faculties, with over 3,600 students and some 220 full-time academic and 90 administrative staff, the Faculty of Arts is China’s most international English-language Arts faculty. The quality and comprehensiveness of humanities research and teaching in the Arts Faculty distinguish HKU from other top-ranking universities in China, and make HKU a key vantage point for the study of China’s past and present in relation to the world. The Faculty delivers impact through internationalization, innovation and interdisciplinarity. The Faculty ranges from 1st-4th place in Asia and from 14th-54th in the various world rankings. HKU is the only Asian university in the top 30 ‘Best Universities for Arts and Humanities.’ While HKU regularly places in the top 1-2 most ‘international’ universities in the global rankings, Arts is its most international faculty with 75.7% international professoriate staff. More information about the Faculty is available https://arts.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence and 21st in Computer Science and Information Systems in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. What we offer The successful candidate will be jointly appointed by a Teaching Department in the Faculty of Arts and the School of Computing and Data Science best aligned with the candidate’s expertise. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary for fixed-term appointment. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references. Review of applications will commence as soon as possible and continue until April 30, 2026, or until the post is filled, whichever is earlier. The University is committed to diversity and inclusivity. The Faculty of Arts expressly encourages qualified persons from all genders to apply.