University of Hong Kong

Ref.: 537605 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in LNP-assisted Gene-Editing for Neurodegeneration (Ref.: 537605) We now invite applicants to join the JC STEM Lab of Nanomedicine for Advanced Therapy (PI: Professor Khuloud Al-Jamal) at the Department of Pharmacology and Pharmacy. We are a highly collaborative research team developing an innovative lipid nanoparticle (LNP)-based CRISPR-Cas9 gene editing platform for the treatment of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). We are looking for a highly motivated postdoctoral fellow to evaluate single and dual gene knockout strategies targeting two key modifiers of disease pathology, as a novel non-viral therapeutic approach for neurodegenerative diseases. The aim of our lab is to leverage lipid nanoparticle-mediated gene editing to overcome the limitations of current ALS therapies, spanning gene editing technology, nanoparticle-based delivery, in vivo disease modelling, and computational systems analysis to translate a precise, broadly applicable gene therapy strategy toward clinical relevance. Duties and Responsibilities: Design and evaluate CRISPR-Cas9-based gene editing strategies for single and dual gene knockout in disease-relevant models. Formulate, characterise and optimise lipid nanoparticles for the encapsulation and delivery of gene editing payloads. Conduct in vivo animal studies, including administration of LNP-based therapeutics, sample collection, and disease progression monitoring. Perform behavioural studies and phenotypic assessments in disease mouse models to evaluate therapeutic efficacy. Apply immunohistochemistry to determine tissue- and cell-type-specific targeting and delivery precision. Conduct western blot and molecular analyses to quantify target protein knockout and pathological markers. Support transcriptomic studies and contribute to computational modelling of molecular interplay. Collaborate internationally, prepare reports and protocols, and contribute to grant and manuscript writing. Supervise students and disseminate findings through publications and conference presentations. Collaborate with other team member to ensure effective synergy between various projects.  Requirements: Education and Expertise: A Ph.D. in Molecular Biology, Biochemistry, Pharmacology, Neuroscience, Bioengineering, or a related field is required. Strong biological skills and a proven research track record in gene editing or nanoparticle-based therapeutics. Demonstrated experience in scientific writing and publication. Research Skills: Hands-on expertise in gene editing, particularly CRISPR-Cas systems, including guide RNA design and editing validation. Experience in LNP formulation, characterisation, and nucleic acid payload encapsulation is essential. Familiarity with neurodegenerative disease biology, particularly neuroinflammation, microglial activation, and neuroprotection mechanisms. Proficiency in in vivo experiments including behavioural studies is a plus. Expertise in cellular and molecular biology techniques such as western blotting, immunohistochemistry, and cell culture (mainly motor neurons). Administrative and Collaborative Skills: Ability to manage a research programme financially and administratively under the guidance of the Principal Investigator. Ability to work independently with excellent problem-solving skills, collaborate within a team, and supervise students. High attention to detail in experimental design and execution with a willingness to adapt to new procedures and undergo further training as necessary. Language and Technical Competence: Excellent communication, command of written and spoken English. Capable of contributing to grant writing and funding applications. Proficient in IT skills for efficient data management and communication within the research programme including but not limited to the data management, analysis, and reporting. What We Offer: The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to funding availability and project progress. A competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply: The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until January 31, 2027, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Ref.: 537493 Work type: Full-time Department: Faculty of Engineering (14000) Categories: Teaching Staff Applications are invited for appointment as Lecturer/Assistant Lecturer in the Faculty of Engineering (Ref.:537493), to commence as soon as possible, on a two-year fixed-term basis, with possibility of renewal subject to satisfactory performance and funding availability. The Faculty of Engineering is committed to providing high-quality education in Artificial Intelligence (AI) for undergraduate students to keep status quo. These courses represent key initiatives to promote active learning and interdisciplinary mindset through hands-on and project-based pedagogy, inspiring students to engage with real-world engineering applications. We are seeking passionate educators to join our teaching team in designing and delivering lectures, tutorials, and project-based learning experiences in AI-related courses. To ensure the courses remain up to date and relevant, appointees are expected to regularly review and update teaching materials, incorporating the latest developments in AI. The appointed candidate will also supervise student-driven projects within the Faculty of Engineering and collaborative initiatives with external partners. Candidates with substantial practical experience in applying AI to solve engineering challenges are especially encouraged to apply, as we value professional insight alongside academic excellence. Successful applicants should be comfortable in teaching and supervising in a dynamic international environment. Qualifications and Requirements: A Master’s or Ph.D. degree in Computer Science or related engineering fields; Demonstrated expertise in Artificial Intelligence, including but not limited to computer vision, foundation models and agentic systems, embodied AI and intelligent robotics, or AI infrastructure and systems; Practical experience in applying or deploying AI techniques to engineering problems; and A strong record of, or clear potential for, excellence in teaching practice-oriented courses, mentoring students, and supervising projects. Based on the teaching experience and academic qualifications, suitable candidates will be considered for positions ranging from Assistant Lecturer or Lecturer. 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 for Lecturer, or up to 10% of basic salary for Assistant Lecturer. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Applicants are highly encouraged to submit their applications as soon as possible. Review of applications will commence as soon as possible and continue until November 30, 2026 or until the post is filled, whichever is earlier.

Ref.: 537645 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the School of Biomedical Sciences (Ref.: 537645) (to commence as soon as possible, for one year in the first instance, with the possibility of renewal subject to satisfactory performance and funding availability) Applicants should possess a Ph.D. degree in synthetic biology, immunology, vaccinology, molecular biology, bioengineering, computational biology, artificial intelligence, or a related discipline. They should have strong experimental, analytical, writing, and communication skills. Experience in one or more of the following areas would be an advantage: mRNA/LNP vaccine development, cancer immunotherapy, bacterial infection models, mouse experiments, flow cytometry, cytokine profiling, single-cell RNA sequencing, bioinformatics, or AI-assisted biomedical data analysis. The appointee will contribute to collaborative research projects investigating synthetic biology approaches for vaccine development and cancer treatment. Relevant ongoing research includes the development and mechanistic study of mRNA-LNP vaccines, immune regulation by IL-10, vaccine responses against Staphylococcus aureus and other pathogens, and the use of single-cell and computational approaches to understand vaccine-induced immunity. The work is also aligned with broader developments in life and health technology, including the integration of artificial intelligence with life sciences and medicine. The appointee will be expected to conduct independent and collaborative research, including experimental design, molecular cloning or mRNA construct preparation, vaccine formulation and evaluation, cell-based assays, animal experiments, immune profiling, data analysis, manuscript preparation, and presentation of research findings. He/She may also assist in grant preparation, student supervision, and coordination with collaborators. 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. Review of applications will start from October 27, 2026 and continue until January 13, 2027, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency