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Saint Camillus International University of Health and Medical Sciences (UniCamillus)

Saint Camillus International University of Health and Medical Sciences (UniCamillus) | World University Rankings | THE

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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)

Hong Kong

Ref.: 536802
Work type: Full-time
Department: School of Public Health (22400)
Categories: Senior Research Staff & Post-doctoral Fellow

Applications are invited for appointment as Research Assistant Professor (RAP)/ Post-doctoral Fellow (PDF) in the Division of Community Medicine and Public Health Practice, School of Public Health (Ref.: 536802), to commence as soon as possible, on a one-year temporary or two-year fixed term basis for RAP, or on a one- to two-year temporary basis for PDF, with the possibility of renewal subject to satisfactory performance and funding availability.

Applicants should possess a Ph.D. degree in Nursing, Public Health, Social Sciences, Social Work, Statistics or health-related disciplines, with multiple years of relevant experience. They should demonstrate strong competency in qualitative and quantitative data analysis and have a good command of written and spoken English and Chinese (including Cantonese). Postdoctoral research experience, especially a strong background in nursing, public health and primary healthcare research, and an excellent publication and teaching track record would be advantages.

The appointee will contribute to a research project on nursing leadership, nursing practice and nursing education related fields for nursing professionals in Hong Kong. He/She will assist the Principal Investigator to plan, coordinate, implement research and collect data; administer the project and survey design; conduct literature review and data analysis; examine methodologies; design assessment tools and questionnaires; prepare manuscripts, research meetings, research findings, presentations and evaluation reports; supervise Post-doctoral Fellow (for the post of RAP) and Research Assistants; collaborate with the project administration and teaching teams; and perform other relevant tasks as assigned.

Candidates with less experience in publications and project management may be considered for the post of PDF.

A highly competitive salary commensurate with qualification and experience will be offered, in addition to annual leave and medical benefits. For RAP, the appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary.

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start from July 30, 2026 and continue until August 31, 2026, or until the post is filled, whichever is earlier.


The University of Hong Kong

United Arab Emirates, Abu Dhabi

Location

Abu Dhabi, UAE

Description

The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking a highly motivated Postdoctoral Research Associate to join a cutting-edge interdisciplinary project. In this role, you will deeply understand the physics and operation of cryogenic scanning transmission electron (cryoSTEM) microscopes, and apply this understanding to design the architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM datasets in the multi-terabyte range. This position plays a pivotal role in supporting ongoing, high-impact research programs within our lab.

The successful candidate will be working under the joint guidance of two experts in computational microscopy and machine learning systems, blending expertise in advanced bioimage informatics and parallel computing:


	Dr. Min Xu – Affiliated Associate Professor of Computer Vision, MBZUAI & Associate Professor, Carnegie Mellon University. Dr. Xu directs a dynamic research laboratory focused on computational biology, bioimage informatics, and structural biology. His core scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET).
	Dr. Qirong Ho – Assistant Professor of Machine Learning and Computer Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems required to scale massive biomedical imaging models efficiently over distributed GPU environments.


Key Responsibilities


	Understand CryoSTEM Microscopy: Become deeply familiar with the physics and operation of state-of-the-art cryoSTEM microscopes.
	Design Foundation Models: Create new model architectures for cryoSTEM data, which will be informed by the strengths and limitations of cryoSTEM microscopes and their data pipeline. These foundation models will be used to improve the operation of cryoSTEM microscopes when applied to biological samples.
	Parallel Model Training: Deploy parallel computing systems for training large-scale cryoSTEM foundation models.
	Project Leadership: Manage complex research sub-projects and ensure research milestones are met.
	Mentorship: Guide and mentor graduate students and junior researchers within the lab.
	Academic Output: Author high-impact publications and produce other key deliverables to share findings with the broader scientific community.


Mohamed bin Zayed University of Artificial Intelligence(MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good. The UAE’s visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster an innovation ecosystem, and act as a strategic think tank for the public and private sectors.

The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our groundbreaking academic research initiatives are working on developing future solutions that will impact the world and change the way we imagine things.

Why Join MBZUAI?


	Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
	Exceptional Benefits:
	
		Comprehensive health & life insurance
		Relocation support for international hires
	
	
	Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
	Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers


Qualifications

This position requires a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Biomedical Imaging, Computational Biology, or a closely related field.


	Research Record: A strong, established track record of publications in computational microscopy, computer vision, or parallel machine learning
	Adaptability: A demonstrated, strong willingness to learn and bridge the gap into complementary domains required by this project (computational microscopy, computer vision or parallel ML).
	Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular emphasis on electron microscopy (EM) data.
	Communication: Excellent analytical, oral, and written communication skills.


Application Instructions

To apply for this position, please submit the following items:


	A comprehensive CV, including a complete list of publications.A research proposal based on the following microscopy publication: Shadow montage and cone-beam reconstruction in 4D-STEM tomography. Microscopy and Microanalysis. 2026.
	Contact information for three professional references.
	Name and contact details for three referees (Referees will be contacted during the recruitment process to upload their reference letter via Interfolio)



Mohamed Bin Zayed University of Artificial Intelligence

Schemes of Service: Research
Division: Engineering
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.

Job Responsibilities


	Support all aspects of the Marine and Offshore Digital Learning Lab courses and activities
	Design and develop robotics and AR/VR technology
	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.
	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.
	Communicate with any internal or external stakeholders required to meet the project deliverables.
	Carry out any additional work tasks assigned by the supervisor.


Job Requirements


	Have relevant competence in the areas of digital tools, programming, AR/VR, robotics, etc.
	Have a degree in programming, computer science, computer engineering
	Experince and interest in marine and offshore domain will be advantageous.



Ref.: 536424
Work type: Full-time
Department: Department of Civil Engineering (14100)
Categories: Senior Research Staff & Post-doctoral Fellow

Post-doctoral Fellow in Intelligent Structural Engineering in the Department of Civil Engineering (Ref.: 536424), to commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability.

We now invite applications for the captioned post.

This post will be supported by ITF Research Talent Hub scheme with highly competitive salary. Applicants should preferably possess a Ph.D. degree in Structural Engineering, Civil Engineering, Computational Mechanics, Computer Science, or a related discipline, with an outstanding track record of publications and research project experience. Applicants who are in the process of completing a Ph.D. degree will also be considered. Desirable qualifications include physics deep learning, digital twin, smart and resilient infrastructure. Excellent written and oral communication abilities, and a collaborative attitude are wanted.

The appointee will conduct original and collaborative research; author and co-author peer-reviewed publications; collaborate in ongoing projects and develop new research proposals. Inquiries about the duties of the post should be sent to Dr. Jiaji Wang at cewang@hku.hk 

What We Offer

A highly 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(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until September 20, 2026, or until the post(s) is/are filled, whichever is earlier.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency


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