FHV - Vorarlberg University of Applied Science

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.: 26/112) The main responsibilities of this post are to (i) conduct research and evaluation studies; (ii) collect and analyse data; (iii) participate in grant proposals and execution; (iv) participate in and help building academy-industry research; (v) advise several graduate students; (vi) draft manuscripts and write reports; (vii) assist in different research activities 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 imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects; and (vi) fluency of written and spoken English required. 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.

Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs. Job Requirements A good degree in Chemical Engineering or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. Track record in project leadership and impactful industry experience in Chemical Process Technology. Deep technical specialist with 10 or more years of working experience in unit operations (e.g. Heat Exchanger, Distillation Column, Reactors, Cooling Tower etc). Practical knowledge of Quality Management Systems and Engineering standards including but not limited to ISO9001, OSHA and BSI etc. Practiced in Chemical Process Design software (for e.g. HYSYS) Proficiency in analytical techniques such as HPLC, GC-MS, LC-MS, ICP-OES, ICP-MS, and related methods, with a focus on biopharmaceutical analysis would be an advantage. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

Research Assistant Health and Social Sciences Cluster Singapore Institute of Technology We are seeking a motivated and capable Research Assistant to join an exciting translational research project on spinal sarcopenia in older adults, with a focus on muscle degeneration, senescent progenitors, and regenerative failure. This role offers a unique opportunity to work across clinical research, functional assessment, imaging analysis, and laboratory investigation in a multidisciplinary academic environment. The successful candidate will support a funded research project that aims to generate clinically relevant insights into ageing, muscle health, and spine-related conditions. This is an excellent opportunity for candidates who are passionate about meaningful research and wish to build strong experience in applied human and translational studies. Key Responsibilities Support the Principal Investigator and research team in the implementation and coordination of the project Assist with participant recruitment, scheduling, follow-up, and study administration in accordance with approved ethics protocols Conduct and document functional assessments and study-related data collection Retrieve, organise, and manage imaging data, and assist with image-based analysis Support laboratory workflows such as tissue handling, histology, immunofluorescence, qPCR, ELISA, and related analyses Maintain accurate databases, study records, and project documentation Assist with literature review, data cleaning, preliminary analysis preparation, reporting, and regulatory submissions Coordinate procurement of reagents, consumables, and research-related items Ensure compliance with laboratory safety, biosafety, and institutional research governance requirements Job Requirements Bachelor’s degree in biomedical science, life sciences, physiotherapy, diagnostic radiography, medical laboratory science, or a related discipline Strong interest in translational, musculoskeletal, ageing, or clinical research Experience in clinical research coordination, patient-facing data collection, imaging analysis, or laboratory techniques will be advantageous Familiarity with histology, microscopy, immunofluorescence, molecular assays, or tissue-based workflows is preferred Good written and verbal communication skills Strong organisational skills, attention to detail, and professionalism Proficiency in Microsoft Office; familiarity with ImageJ, SPSS, STATA, or equivalent tools is an advantage Key Attributes Motivated, responsible, and able to work independently Careful and accurate in handling data, samples, and documentation Strong team player who can work effectively with academic, clinical, and student collaborators Willingness to learn and adapt in a dynamic multidisciplinary research environment Why Join Us This role offers valuable exposure to clinically relevant translational research with opportunities to develop experience in human studies, imaging, laboratory science, and multidisciplinary collaboration. The successful candidate will contribute to a meaningful project with real-world healthcare relevance while building a strong foundation for future research or postgraduate opportunities. Contract Type 1-year contract Work Location Singapore Institute of Technology, with project activities at SIT and partner sites as required.