What Jobs are available for Scientific Internship in Hong Kong?

Applications are invited for appointment as Scientific Officer in Centre for Virology Vaccinology and Therapeutics Limited (Ref.: CVVT/2025/SO/D20) to commence as soon as possible, on a two or three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability.

Applicants should possess a Ph.D. degree, preferably in molecular biology, medical sciences, or related disciplines. Candidates should have at least 9 years of solid experience in clinical and translational research. Those with expertise in molecular oncology, next-generation sequencing, and the development and design of liquid biopsy research for nasopharyngeal and gastrointestinal tract cancers will be given preference.

Candidates should demonstrate excellent interpersonal and organizational skills, a strong sense of responsibility and self-motivation, and an excellent command of both written and spoken English. The ability to multi-task, work independently, and collaborate effectively within a team is essential.

The appointee will be involved in projects related to the development of novel pharmacological treatments for cancers and investigations in vaccination.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

Applicants should submit their up-to-date C.V., quoting the job reference number, with information on current/expected remuneration and availability. Review of applications will commence as soon as possible, or until the posts are filled, whichever is earlier.

The personal data provided in your application process will be used for recruitment and other employment-related purposes. The personal data may be transferred and disclosed to, and used by HKU Innovation Holdings Limited and The University of Hong Kong for the above purposes.

We are an equal opportunities employer and welcome applications from all qualified candidates.

THE JOB

Reporting to the Senior Scientific Conditioning Coach, the Assistant Scientific Conditioning Coach will be responsible for the following duties:

• Implement safe and effective training programmes for athletes under the guidance of senior staff;
• Supervise and to run the daily operation in the Fitness Training Centre;
• Supervise injured athletes' training in cooperation with the Sports Medicine Centre and under the guidance of senior staff;
• Monitor the maintenance of the fitness area and equipment;
• Perform fitness and field-testing on athletes for monitoring training progress under the guidance of senior staff;
• Collaborate with other disciplines of the Scientific Conditioning Center and other Centres as appropriate to the biopsychosocial operational model;
• Provide both local and overseas on-field support to elite sports teams if required;
• Centralize and maintain a database for all training records;
• Keep abreast of the current trends of Strength and Conditioning for peak performance; and
• Perform any other appropriate duties as assigned by supervisor.

THE REQUIREMENTS

• A university degree or diploma in strength and conditioning, sports science or a relevant discipline;
• Holder of valid strength and conditioning specialist certification or a related qualification;
• Holder of valid first aid, CPR and AED certificate;
• A minimum of 2 years' relevant working experience in strength & conditioning. Or having been a full time athlete within a high performance system and trained in strength and conditioning for over 2 years;
• Excellent interpersonal and communication skills across all levels of athlete, coach and management;
• Conscientiousness and accurate in monitoring athletes, recording data and reporting;
• Able to work irregular hours and perform under pressure;
• Proficient in computer software application such as Microsoft Excel and Microsoft Office;
• Excellent command of both spoken and written English. Ability to speak Putonghua and/or Chinese is a definite advantage; and
• Awareness/ knowledge of Child Protection in sport and equal opportunity issues in the context of Hong Kong are an added advantage.

APPLICATIONS

Please submit application online via our website on or before28 October 2025.

Appointment will be on a fixed term contract. General information is available at the website 

Applicants who are not invited for interview within six months may consider their applications unsuccessful.

All applications will be treated in the strictest confidence. Personal Data provided by appointees will be used strictly for recruitment and other employment-related purposes only.

THE HKSI IS AN EQUAL OPPORTUNITIES EMPLOYER

招聘職位 Job Title

中國科學院香港創新研究院科技處項目管理

Coordinator, Scientific and Technological Department, Hong Kong institute of Science & Innovation, Chinese Academy of Sciences

工作地址 Office Address

中國香港特別行政區新界沙田白石角香港科學園10W 7層

7/F, Building 10W (Lakeside 2), Hong Kong Science Park West Avenue 10, Sha Tin

工作職責 Responsibilities

1.負責聯繫國家科技部、國家自然科學基金委、香港創新科技署等內地及香港相關科技管理部門,組織科研項目申報工作;

Liaise with relevant technology management authorities in mainland China and Hong Kong, including the Ministry of Science and Technology, the National Natural Science Foundation of China, and the Hong Kong Innovation and Technology Commission, and organize research project applications.

2.負責聯繫中國科學院各院屬單位,科研項目策劃、組織申報和管理工作;

Coordinate with the institutions under the Chinese Academy of Sciences to plan, apply for, and manage projects.

3.承擔重大科技活動和學術活動的組織協調;

Organize and coordinate major scientific and academic events.

4.負責知識產權和成果轉化管理工作;

Manage intellectual property and technology transfer on a daily basis.

5.負責對外科技合作和課題管理工作;

Oversee international scientific cooperation and research project management.

6.負責領導交辦的其他工作。

Perform other duties as assigned by leadership.

應聘條件 Requirements

1.具有良好道德品質及職業操守,愛國愛港,遵紀守法;

Demonstrates excellent moral character and professional ethics; patriotic, committed to Hong Kong SAR, and compliant with laws and regulations.

2.碩士研究生學歷並具有3年及以上相關工作經驗,過往業績良好,或具有博士研究生學歷;

Holds a master's degree with generally 3 or more years of relevant work experience and a proven track record of performance, or a doctoral degree.

3.具有較高的職業素質,較強的責任心,服務意識及溝通協調能力;

Possesses strong professional qualities, a high sense of responsibility, service orientation, and excellent communication and coordination skills.

4.具有良好的普通話、英語、粵語書寫和表達能力。

Proficient in written and spoken Mandarin, English, and Cantonese.

5.信息技術或生命科技專業領域優先。

Priority given to candidates with academic backgrounds in information technology or life sciences.

應聘事項 Remarks

薪酬福利綜合確定,以最終簽訂的僱傭合約為準。

Remuneration package shall be reviewed with consideration, and subject to the Employment Contract.

自發佈招聘啟事起,凡符合應聘條件的人員均可報名。

Since release of the job ads, all interested applicants are welcomed to apply.

We are now looking for a suitable person to fill the following position in the School of Nursing and Health Studies for the following post(s):

Senior Medical Laboratory Technologist / Scientific Officer (at the rank of Senior Lecturer / Lecturer) (N&HS) (Ref: Y)

Major Duties and Responsibilities

The appointee will be responsible mainly for the following:

• Performing teaching and learning activities, including preparing and developing teaching materials, delivering lecture, tutorials, and laboratory classes;
• Supporting all aspects of academic activities through course planning, development, coordination and delivery in related discipline(s);
• Providing clinical teaching to students and support clinical practicum in hospitals;
• Supervising undergraduate and postgraduate research project(s);
• Participating in programme development and accreditation exercises;
• Providing training and supervising laboratory staff to prepare the necessary materials and equipment for setting up laboratory class;
• Writing up standard operation procedures to set-up and maintenance of equipment(s);
• Ensuring the safety and security related issues in the laboratories; and
• Performing any other duties as assigned by the Dean of School of Nursing and Health Sciences or his/her nominee(s).

Candidates

Candidates should possess the following qualifications, experience and competence:

• A recognized higher degree in medical laboratory science or a related discipline;
• Hold a Part 1 registration and a valid practicing certificate with the Medical Laboratory Technologist Board of HKSAR;
• Have substantial professional experience in Hematology, blood transfusion, Clinical Chemistry and Medical Laboratory Science;
• Relevant teaching experience at tertiary level would be an advantage; and
• Strong communication skills and the ability to use English as the medium of instruction.

The level of appointment depends on the candidate's academic background, experience and competence in academic leadership, teaching, research, scholarly publications, etc.

Fractional appointment will also be considered for successful applicant(s).

Terms and Conditions for Appointment

An attractive remuneration package, including basic salary, an end-of-contract gratuity, and a discretionary incentive payment, where applicable, will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided.

"Accommodation Programme for Overseas Young Teaching Staff" sponsored by the "Katie Shu Sui Pui Charitable Trust"

Overseas candidates who are successfully appointed by the University and below age 50 will be eligible to apply for the "Accommodation Programme for Overseas Young Teaching Staff" sponsored by the "Katie Shu Sui Pui Charitable Trust".  This programme offers the opportunity to reside in assigned accommodation free of charge for a period of up to six months, subject to terms and conditions.

To Apply

Candidates who are interested in joining us may submit their applications via the University's eRecruitment System.

Closing Date of Application: 28 October 2025

The personal data collected will be used for the purpose of considering your application for employment.  For details, please refer to the "Personal Data (Privacy) Notice for Job Applicant" on the University's website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.

Are you interested in joining a team of systemic thinkers and practitioners in Asia in developing family therapy? We are looking for staff who share our values and perspectives. Come join our team where you can make a difference

Qualifications and Duty Requirements include:

·    At least Bachelor Degree holder from a recognized institution

·    Proficiency in Microsoft Office programs

·    Good command of written and spoken English and Chinese

·    Must be organized and able to handle a large volume of clinical data

·    Must be able to maintain good relationship with community stakeholders and the administrative/ research team

·    Ability to work a flexible schedule including both days and nights performing research or data entry, may require to work on weekday evenings and on Saturdays

·    Duties include assisting with academic and clinical research activities including literature reviews, data collection and data analysis as well as administrative duties such as organizing meetings, preparing program reports and meeting minutes

·    Performs other duties as assigned by supervising instructor

·    Salary negotiable

Interested parties, please send your cover letter, full resume with current & expected salary, and availability to us.

Job Posting Details

Key Responsibilities:

• Assist in research on visual and multimodal algorithms, including Visual Language Models (VLM), OCR, object detection/segmentation/recognition, image/video generation, and authenticity verification, particularly for financial and related applications.
• Support research on time series and spatio-temporal data analysis, including modeling, prediction, anomaly detection, and multimodal fusion with visual/language data.
• Keep up-to-date with state-of-the-art algorithms in image, video, multimodal, time series, and spatio-temporal domains; help design and implement algorithm pipelines under the guidance of senior researchers.
• Support data collection, preprocessing, cleaning, and quality assurance to ensure datasets (including sequential and spatio-temporal data) are ready for model training and evaluation.
• Implement and fine-tune machine learning and deep learning models using frameworks such as PyTorch and TensorFlow; assist in analyzing and optimizing model performance through experiments.
• Participate in technical seminars and group discussions, learning advanced algorithms and applying them to practical research projects.
• Contribute to research under supervision in academic conferences and journals.

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electronic Engineering, Information Engineering, Mathematics, or a related field, with some research or project experience.
• Passion for data-oriented work with basic experience in data analysis, cleaning, or engineering; strong programming skills are required.
• Familiarity with deep learning frameworks (PyTorch, TensorFlow), basic knowledge of time series/spatio-temporal modeling, generative algorithms, and database systems such as MongoDB is preferred.
• Publications or conference participation in AI, computer vision, multimodal learning, time series analysis, or related fields is a plus.
• Internship or project experience at technology companies is desirable.
• Interest or experience in financial technology applications, document understanding systems, or sequential data modeling (e.g., financial time series, video analysis, trajectory prediction) is a bonus.
• Ability to collaborate effectively on interdisciplinary research projects.
• Proficiency in English and Mandarin Chinese is preferred.

(Duration: 1 year, renewable)

Starting salary will be commensurate with qualifications and experience. Fringe benefits including annual leave, medical and dental benefits will be provided.

Application Procedure

Please send your application with full CV, research statement, and publication list to: Review of applications will begin immediately and continue until positions are filled. Only shortlisted candidates will be notified.

(Information provided by applicants will be used for recruitment and other employment-related purposes. Applicants should read the Personal Information Collection Statement before submission of application.)

HKUST is an equal opportunities employer and is committed to our core values of

inclusiveness, diversity, and respect.

Role & Responsibilities

• Conduct hands-on laboratory experiments to advance innovative air sensing and purification technologies, contributing directly to real-world solutions.
• Prepare key research materials, including chemical reactions and precise microbiology tasks such as culturing bacteria and cells.
• Maintain accurate laboratory records, oversee inventory, and ensure top-quality documentation to support pioneering research outcomes.
• Assist with purchasing and inventory management to sustain efficient laboratory operations.
• Participate in the full cycle of R&D projects: literature review, project design, laboratory testing, data analysis, and synthesis.

Requirements

• Bachelor's degree or higher in science, technology, engineering, or a related field.
• Exceptional attention to detail and strict adherence to research protocols.
• Strong team player, dedicated to working collaboratively within a supportive, high-achieving research group.
• Proven experience or ability to independently manage research tasks, including critical review, experimental design, and result analysis.
• Open to constructive feedback and focused on continual professional growth.
• Demonstrates curiosity and diligence, with a track record of delivering thorough, high-quality results.

Join our dynamic team and help drive groundbreaking discoveries in air sensing and purification science. Applications are encouraged from candidates who aspire to push the boundaries of research in a collaborative, growth-oriented environment

Responsibilities:

1.Responsible for designing, implementing, and testing soft-material modeling algorithms;

2.Responsible for developing computer graphics algorithms;

3.Enhance computational efficiency of existing soft-material models;

4.Draft technical documentation including research papers, patents, and product manuals.

Job Requirements:

1.Master's degree or equivalent in Computer Graphics, Physics, Artificial Intelligence or related field, or outstanding candidates with a Bachelor's degree;

2.Experience in physical modeling algorithm development (preferred);

3.Proficiency in Python, C++, and standard office suites;

4.CUDA programming experience (preferred);

5.Strong communication, coordination, and teamwork skills;

6.Proactive technology explorer with demonstrated results-sharing ability.

The Laboratory for AI-Powered Financial Technologies Limited (AIFT) aims to be a leading research centre on financial technologies and services. We are seeking for passionate and talented Research Assistant / Assistant Quantitative Analyst to join our growing team.

Key Accountabilities

• Assist with data handling and analysis of financial datasets.
• Assist with developing and maintaining algorithmic trading strategies. Utilize back testing frameworks and validate against historical data.
• Explore the cutting edge FinTech solution empowered by Big Data, artificial intelligence, LLM, and modern financial technologies and tools.
• Design, implement, and formulate financial models for predetermining the financial curves to facilitate financial transactions and portfolio management.
• Remain knowledgeable on Fintech development in the leading areas in industry.
• Coordinate with the supervisors to solicit cooperation and resolve the problems.
• Undertake ad-hoc tasks as assigned from time to time.

Qualification / Knowledge & Experience

• Bachelor's degree or above in Data, Finance, or mathematics-related fields from a recognized institute / university.
• Solid skills and experience with Python.
• Decent knowledge of concurrent financial products, trading strategies, and local and international financial markets.
• Ability to adapt into an evolving and dynamic environment.
• Experience with financial data to conduct data analysis or develop trading strategies is preferred.
• Fresh graduates with keen interest in financial markets are welcome to apply.
• Good verbal and written communication skills in both Chinese and English.