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Sultan Abdul Halim Muadzam Shah International Islamic University

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Hong Kong

Ref.: 536859
Work type: Full-time
Department: School of Nursing (20800)
Categories: Teaching Staff

Assistant Lecturer (several posts) in the School of Nursing (Ref.: 536859) (to commence as soon as possible, on a two- to three-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance)

Applicants should possess a Master’s degree in Nursing or a healthcare-related discipline, and be a holder of the Certificate of Registration (Part I) and valid Practising Certificate issued by the Nursing Council of Hong Kong, with a minimum of 3 years’ post-registration local clinical experience. Preference will be given to those with higher academic qualifications and clinical teaching experience. They should have strong communication, organizational and problem-solving skills; the ability to work independently and as a team; and the capacity to work under pressure and multitask. Those who are qualified as Advanced Practice Nurse (APN) will be offered the title of Advanced Practice Nurse.

The appointees will report to the Chairman of the Teaching and Learning Committee. They will be responsible for teaching, conducting tutorials, and providing practical and clinical supervision in Nursing. They may be required to perform duties outside normal office hours. Shortlisted candidates will be invited to an interview.

Those who have responded to the previous advertisement (Ref.: 535030) need not re-apply.

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 application for the above posts. Applicants should apply online and upload an up-to-date C.V. and at least 2 reference letters with specific comments on their competence. Review of applications will start on July 31, 2026 and continue until September 25, 2026 or until the posts are filled, whichever is earlier.

Applications close:Sep 25, 2026 (HK Time)


The University of Hong Kong

Vietnam

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Computer Science and Machine Learning. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is of advantage. The successful candidate will become part of an international network of universities and research institutes.

Teaching Responsibilities

In the role of a lecturer, the successful candidate will teach graduate courses in the Master's program in Computer Science (MCS) and undergraduate courses in the Bachelor's program in Computer Science (CSE). The expected workload for the in-class lecture conduction is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes).

Teaching should reflect current research methods and results, and comprises lectures on the following modules:


	Introduction to Computer Science
	Introduction to Data Science and Artificial Intelligence
	Current Topics in Computer Science
	Statistics
	Elective modules related to Machine Learning


The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects.

The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring PhD students.

Research Responsibilities

We expect the successful candidate, as a research-oriented university faculty member, to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of pattern recognition, machine learning (including generative models and neural network architectures), and natural language processing (including large language models). The ability to apply and generate externally funded research projects is highly desirable.

Administrative responsibilities

The successful candidate is expected to contribute to the development of the Computer Science program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies.

Qualification

Candidates must hold a Ph.D. in Computer Science or a closely related field, preferably from a well-known international university. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include:


	An outstanding academic record with a focus on machine learning, computer vision, natural language processing, pattern recognition or other areas closely related to it
	Proven expertise in techniques for natural language processing and pattern recognition
	Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area
	Proven teaching experience with strong self-motivation combined with a passion for teaching and research
	Experience in industry is of advantage
	Proven excellent English proficiency:


Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1]

Employment benefits

The successful candidate will integrate himself/herself into an initiative on AI research and several interdisciplinary research groups at VGU. He/she enjoys access to state-of-the-art laboratories. VGU is currently acquiring powerful AI servers, workstations and data storage to enable long-term research.

VGU provides institutional research grants of up to 350 million VND per project and offers financial support for faculty to attend national and international conferences and publish their research.

VGU's partnerships with German universities provide lecturers with funding opportunities for research and academic exchange.

VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students.

Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here.

Application                                                                                               

To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Computer Science and Machine Learning_[Your Name]"

Your application should include:


	Form for basic information (Please download here, complete this form electronically and submit it together with your application)
	A cover letter stating your interest in joining VGU
	Curriculum Vitae (including list of publications)
	Scans of university degrees, university transcripts and other relevant certificates
	Scans of language certificates (if available, highly appreciated)
	References illustrating your professional and academic career, including contact details of references (if available, highly appreciated)
	Evaluation results for teaching (if available)


All applications will be reviewed and evaluated by VGU's international Application Review Team.

For further information, please contact:


	Program Academic Director at rschorr@fb2.fra-uas.de and/or
	Program Academic Coordinator at son.ll@vgu.edu.vn


About us

The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region.

VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures.

As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.


Vietnamese-German University

salary is commensurate with qualifications and experience

China, Qianshan/Zhuhai

Beijing Normal-Hong Kong Baptist University (BNBU) now invites candidates for this position which is expected to be filled in Sep 2026 or Feb 2027:

 

Job Description

The Department of Social Sciences (DSS) at BNBU invites applications for a full-time position to begin in September 2026 or February 2027. The Department comprises two undergraduate programmes: Globalisation and Development (GAD), established in 2019, and Digital Social Sciences (DGS), established in 2022. Both programmes are interdisciplinary and student-centred, combining foundational social science theory with applied research skills and experiential learning. We seek a scholar who can contribute to the core teaching and research needs of the Department, with the ability to teach across a range of courses in one or more of the following fields:

• Computational Social Sciences – with expertise in areas such as digital research methods, social network analysis, computational text analysis, AI and society, data visualisation, or the ethical and governance implications of digital technologies.

• Digital Governance and Policy Analysis – with expertise in how digital technologies, data, and computational methods are transforming public administration, governance, and policy-making.

 

The successful candidate will be expected to teach major courses within DGS and/or GAD curricula, supervise undergraduate research projects and theses (including Final Year Projects), and contribute to the Department's experiential learning activities (including field trips and study tours). There are opportunities to develop innovative pedagogy, engage in collaborative research with faculty and students, and contribute to the Department's growing transdisciplinary initiatives across the University.

 

Research Expectations: The successful candidate is expected to be committed to excellence in both research and teaching. Preference will be given to candidates with a demonstrable ability to undertake independent research leading to impactful outcomes, such as publication in high-quality, internationally recognised, indexed journals and scholarly presses. The appointee will be supported to develop an active research agenda that informs their teaching and contributes to the Department's scholarly profile.

 

BNBU is a liberal arts institution with a strong commitment to Whole Person Education and internationalisation. The University values research-aligned teaching, student mentoring, and a collegial working environment.

 

Job Requirement

All applicants should hold a PhD degree in a related field with a strong research profile appropriate to the rank. Other requirements include a firm commitment to teaching and tutoring students, as well as engaging in theory-driven qualitative or quantitative research.

 

Rank-specific expectations:

• Assistant Professor: Demonstrated potential for high-quality research output and teaching excellence

• Associate Professor: Established track record of research publications and teaching experience commensurate with career stage

• Professor: Distinguished record of research leadership and sustained contribution to the field.

 

Preference will be given to candidates with demonstrated expertise in digital social science or computational methods, or in digital governance and policy analysis. Please include a cover letter along with your CV explaining your rationale for coming to BNBU, how you meet the above requirements, and how you can contribute to our research and teaching environment.


Benefits and Appointment Terms
Commencing salaries will be commensurate with qualifications and relevant experience. Fringe benefits include housing allowance, leave, social insurance and commercial insurance. Appointments to these positions will initially be made on a fixed-term contract with mutual agreement.
 
Closing Date: Open until filled

All application materials should be submitted in English.
 

Application Procedures

*Please complete the job application form and upload the requested documents online: https://hrapp.bnbu.edu.cn/recruit/job/vacancy/JobDetail/1280.

*If you failed to submit your application online, please send your application by emailing to recruit@bnbu.edu.cn. Applications should include a curriculum vitae and a completed "Job Application Form" which can be downloaded from https://hro.bnbu.edu.cn/Job_Opportunities_/Application_Procedure.htm. Please indicate the position being applied for, including the field of expertise, level and reference number.

The University reserves the right not to fill these positions, or to extend the search until suitable candidates are identified or to make an appointment by invitation. We are an equal opportunity employer committed to creating a diverse environment.


Beijing Normal University - Hong Kong Baptist University United International College

Singapore

Schemes of Service: Research
Division: Infocomm Technology
Employment Type: Fixed Term

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 deliver on an industry innovation research project where you will be part of the research team to develop build proof-of-concept cyber security solutions and smart nation related systems.

Key Responsibilities


	Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
	Undertake these responsibilities in the project:
	Implement post quantum cryptography on the IoT devices.
	Research and evaluate the existing post quantum cryptography protocol.
	Assist in writing research papers for the internation conferences.
	Coordinate and assist the installation of IoT devices.
	Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
	Coordinate procurement and liaison with vendors/suppliers.


Job Requirements


	Have relevant competence in the areas of Cyber Security.
	Degree in Infocomm, Computer Science, Cyber Security, Computer/Electrical Engineering, Information Technology or equivalent. Possessing a Master’s or PhD degree will be advantageous.
	Strong interest and passion in Cyber Security.
	Able to grasp new technology concepts quickly, and combine contrarian, out-of-the-box thinking when performing security assessments.
	OSCP, CISSP and GXPN holder will be advantageous.
	Experience in post quantum cryptography will be advantageous.
	Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.


Key Competencies


	Able to build and maintain strong working relationships with people within and external to the university.
	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



Singapore Institute of Technology (SIT)

Schemes of Service: Research
Division: Infocomm Technology
Employment Type: Fixed Term

As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important.

Key Responsibilities:


	Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. 
	Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
	Deliver solution-ready demonstration code.
	Interact well within the team and the customers.
	Be self-directed to fulfil the project requirements.


Job Requirements:


	Competence in working with languages such as C along with AI applications as well as Python-based coding .
	Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous.
	Knowledge of machine learning, pytorch, huggingface etc...
	Knowledge of speech, audio, time-series or signal processing is required.
	Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI.
	Experience of authoring good quality academic publications.
	Manage undergraduate research assistants (if appropriate).
	Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China.


Key Competencies:


	A self-directed worker who believes in continuous learning and development
	Proficient in academic writing 
	Possess good critical thinking skills
	Show strong initiative and take ownership of work
	Interest in AI, machine learning, image/audio processing



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