Technical University of Liberec

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) 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 Division of Industrial Data Science (Post Ref.: 26/63) The main responsibilities of this post are to (i) conduct research and evaluation studies; (ii) collect and analyse data; (iii) draft manuscripts and write reports and; (iv) conduct research and submit papers to top philosophy journals; and (v) assist in teaching and handle administrative work and perform any other duties as assigned by the Person-in-charge or her delegates. The appointees are expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. General Requirements Candidates should have (i) a PhD degree in data science or related field or an equivalent qualification; (ii) have experience in conducting research; (iii) interest in publishing high-quality journal papers in the field; and (iv) be able to complete projects on time with minimum supervision. Candidates should have obtained / been conferred a PhD degree or an equivalent qualification for no more than three years prior to the commencement of the appointment. Appointment 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 a fixed-term contract of up to three years. Application Procedure (online application 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.

Ref.: 534741 Work type: Full-time Department: Department of Microbiology, School of Clinical Medicine (20700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Clinical Assistant Professor in the Department of Microbiology, School of Clinical Medicine (Ref.: 534741), to commence as soon as possible, on a four-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second four-year fixed-term contract, subject to satisfactory performance. Applicants should possess a medical qualification registrable with the Hong Kong Medical Council, and postgraduate professional qualifications in clinical disciplines in relation to clinical microbiology and infectious diseases. They should demonstrate a strong commitment to and evidence of excellence in teaching and its development, preferably in clinical microbiology and infectious diseases, to help advance the strengths of the Department’s teaching in the broad spectrum of medical and health sciences education. They should be able to conduct courses at both undergraduate and postgraduate levels; supervise postgraduate research students; demonstrate the potential for conducting independent research by track record on research publications; and also demonstrate broad knowledge and clinical experience in clinical microbiology and infectious diseases, preferably from laboratory to the bedside. The appointee will participate in, organize and develop undergraduate and postgraduate teaching programmes; conduct research; provide clinical services at the University’s teaching hospitals; and contribute to administrative duties in the Department and Faculty. Information about the Department can be obtained at https://hkumicro.hku.hk/. Applicants who have responded to the previous advertisement (Ref.: 533263) need not re-apply. 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. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V., and contact information of 3 referees should be provided in the application form. Review of applications will start as soon as possible and continue until September 19, 2026, or until the post is filled, whichever is earlier.

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.  Job Purpose The primary responsibility of this role is to deliver on an academic research project funded by BCA. The project is in collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors & hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external parties for the successful deployment of technology, test-bedding, and energy performance evaluation. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Candidate will be required to establish test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors, hardware, quantitative evaluation of energy savings, etc. Meeting the deliverables by deployment, demonstration, and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables. Coordination with project internal and external team members, vendors, contractors, safety officers, for successful deployment of technology and testing. Assists in the co-supervision of final year projects (FYP) or capstone projects students under the Project PI. Assists the PI in drafting project reports, conference proceedings, and journal articles based on the outcome of the projects. Prepares and shares a fortnightly report of results from the computations with the PI. Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD degree in electrical/civil/mechanical engineering or other related fields Expert knowledge of building air-conditioning and mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation.  Experience of test bed setup development, testing & commissioning, and performance analysis. Knowledge of industrial protocols, sensors, and control hardware. Knowledge of building management systems, software integration, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability to work in a team as well as independently. Able to work under pressure and meet deadlines. Key Competencies  Able to build and maintain strong working relationships with people within and external to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work