Institut Teknologi Brunei ITB (Brunei Institute of Technology)

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 is well positioned to take lead as 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: Postdoctoral Fellow - Philosophy of Contemporary & Future Science Department of Philosophy (Post Ref.: 25/46) The Department of Philosophy at Lingnan University is one of the best in Asia. Faculty members publish in leading journals in the field, such as Analysis, Australasian Journal of Philosophy, British Journal for the Philosophy of Science, Ethics, Journal of Philosophical Logic, Mind, Noûs, Philosophers’ Imprint, Philosophical Quarterly, Philosophical Studies, Philosophy and Phenomenological Research, and Philosophy of Science. The department has a thriving PhD programme and also hosts several Postdoctoral Fellows/Research Assistant Professors. More information on the research interests and publications of philosophers at Lingnan University can be found at: https://www.LN.edu.hk/philoso/?page_id=9. Requirements Areas of Specialization: Philosophy of Science; Formal Epistemology; AI; or Philosophy of Biology, Chemistry, or Physics These posts arise in connection with a Senior Research Fellowship on ‘Philosophy of Contemporary and Future Science’ awarded to Professor Darrell Rowbottom, which runs from 2022–2027. Professor Rowbottom is now seeking Two Postdoctoral Fellows to join the project team over the course of one to two years. Details on the project, which involves scientists working with philosophers, can be found at www.pocfs.org. We are especially interested in candidates whose work connects with the natural sciences, and especially with recent developments therein (such as increased interdisciplinarity and the involvement of AI). However, we are open to considering other applicants with excellent research records and a clear, well-articulated vision of how they can contribute to the project. The appointee will work as part of the team headed by Professor Rowbottom. This will involve: (1) carrying out collaborative research (including with scientists); (2) authorship and co-authorship of papers suitable for publication in leading journals; (3) authorship and submission of derivative grant proposals to funding bodies; (4) organizing seminars, reading groups, workshops and other related research activities; (5) teaching courses at undergraduate or postgraduate levels; (6) performing occasional outreach activities (such as lectures aimed at the general public); and (7) managing/updating the project website. The teaching load will be one or two courses per year, distributed according to the departmental needs. English will be the language of instruction. Appointment The minimum annual salary for the posts will be 432,000 HKD (which corresponds to 44,000 GBP and 55,000 USD at current exchange rates). A gratuity of approximately 130,000 HKD will be paid after two years of service. Please note that tax in Hong Kong is exceptionally low; for instance, income tax on the annual salary might be as low as 30,000 HKD. See https://www.ird.gov.hk/eng/ese/st_comp_2022_23/stcfrm.htm for a tax calculator. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance (where appropriate). The appointment start date is flexible. Contract duration is expected to be from one to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. Informal inquiries concerning the posts can be directed to Professor Rowbottom, at darrellrowbottom@ln.edu.hk. We are an equal opportunities employer. The review of applications will start and 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.

Would you like to contribute to a better world by working in fundraising and donor relations at Finland’s largest university? We are now seeking a Liaison Manager for Fundraising to join the Communications and Community Relations sector.  Liaison Manager for Fundraising If appointed, you will oversee the University’s fundraising, donor relations, and fundraising campaigns and services as part of a professional fundraising team. You will manage your customer relationship portfolio and develop and implement fundraising projects and donor relations in close collaboration with the University’s leadership. Who you are  You hold a relevant higher education degree and have experience of, and a clear vision for, target-driven sales and partnership development, as well as fundraising and donor relations with key groups such as private individuals, foundations and business partners. You are familiar with managing demanding stakeholder relationships, eager to learn, and able to inspire and persuade collaborators both within the University and across its partner network. You work flexibly as part of a team while handling your responsibilities independently and responsibly. The role requires a solution-oriented, development-focused and efficient approach to work. You have strong written and presentation skills and are able to build and maintain networks. Alongside our primary working language, Finnish, you are fluent in English; proficiency in Swedish as a working language is considered an asset.  Why work for the University? We have a strong team spirit and work ethic, and are committed to doing our best for the University and Finland as a whole. In this role, you will be supported by over 100 specialists in communications, community relations, fundraising and donor relations working across the Communications and Community Relations sector, and will have excellent opportunities to further develop your expertise. As part of our work community, you will collaborate closely with inspiring researchers and contribute to strengthening both the conditions for, and the impact of, research and education. At the University of Helsinki, we support your wellbeing and daily life through means such as flexible working hours, generous leave beyond the Annual Holidays Act, comprehensive occupational healthcare, extensive skills development opportunities, and UniSport’s affordable, varied fitness services. We value flexibility in work arrangements as well as a good balance between professional and personal life. You will be employed in the University’s Communications and Community Relations sector. The position carries a monthly salary of €4,300 to €4,800, depending on the appointee’s skills and work experience. The appointment is permanent. Interested? Tell us about yourself and why you are the right person for this position. We expect to receive your application via our recruitment system by 20 January 2026. Would you like to learn more about the position?  Please do not hesitate to contact Liaison Manager Riikka Mäntyniemi (riikka.mantyniemi@helsinki.fi), +358 2941 23478; kindly arrange a suitable date and time by email in advance. Questions about the recruitment system should be sent to rekrytointi@helsinki.fi. We prioritise diversity and equity in our study and work culture. Accordingly, we strive to build an inclusive academic community and welcome applications from all talented candidates, regardless of background.  Click here to learn more about our University’s physical and digital accessibility. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers As a University Services sector, Communications and Community Relations manages multi-channel communications, brand development, marketing, event and conference services, fundraising, partnerships, stakeholder activities, and business collaboration. Would you like to learn more about the University of Helsinki as an employer? Read more here: www.helsinki.fi/en/about-us/careers.

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