Can Tho University of Medicine and Pharmacy

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning and the third largest university by intake in Singapore. Our mission is to maximise the potential of our learners and to innovate with industry, through an integrated applied learning and research approach, to contribute to the economy and society. As a university that emphasises applied education, SIT offers a unique teaching environment where faculty members work closely with students and industry to ensure graduates are equipped with strong, work-ready skills. Our strong nexus with industry ensures that our programmes stay relevant to the evolving demands of the economy. The Infocomm Technology (ICT) Cluster (Department) The ICT cluster is the largest cluster in SIT in by student intake. Our cluster moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite applications for Lecturer and Senior Lecturer positions. This role focuses primarily on teaching and student development, contributing to SIT’s applied learning approach. We welcome passionate educators, preferably having good relevant industry experience, who are committed to nurturing the next generation of professionals in areas such as: Information Security: Mobile security, cyber-physical systems, security analytics, digital forensics, malware analysis, vulnerability assessment, privacy technologies, and AI security. Computer Science and Software Engineering: Software development lifecycle (SDLC), requirement analysis, design, testing, performance optimisation, databases, computer graphics, distributed systems, computer vision, and multimedia analytics. AI and Emerging Fields: Industrial IoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, future communications/5G, and quantum computing. Key Responsibilities: Facilitate and conduct all teaching assignments for undergraduate and graduate students and continuous education programmes. Develop teaching materials and applied learning experiences that are relevant to industry needs and practices, and implement modern pedagogies. Mentor and advise students on academic and career development. Supervise student projects and applied learning projects. Contribute to curriculum design, innovation, and continuous programme improvement. Participate in educational initiatives and activities to enhance student learning outcomes. Requirements: A PhD or a Master’s degree (with significant industry experience) in Computer Science, Computer Engineering, Information Security, Software Engineering, Artificial Intelligence, or a related field from a reputable university. A strong passion for teaching and student engagement. A strong interest in student learning and engagement, and keen to adopt flipped classroom methods, team-based learning, and assessment for learning. Demonstrated teaching excellence, or relevant experience in industry-based education and training. Strong communication and interpersonal skills. Industry experience or professional certifications relevant to your teaching areas will be an advantage. Familiarity with applied learning, competency-based education, or work-integrated learning will be an advantage. At SIT, you will be part of a dynamic and supportive community of educators dedicated to applied teaching excellence. We offer competitive remuneration, comprehensive employment benefits, a collegial and supportive working environment, and opportunities for professional development. The position will be based at the permanent campus of SIT, located at the Punggol Digital District, which is Singapore’s first smart district. Application Submission: Applications will be accepted until the position is filled. All applications must be submitted through the SIT website (https://careers.singaporetech.edu.sg/en/job/). Eligible interested applicants must submit their CVs and teaching statement in PDF format. Where available, please also provide evidence of teaching ability, such as student feedback on the relevant courses taught and a summary of courses taught, past curriculum development, pedagogical innovations, etc. Only shortlisted candidates will be contacted by the Cluster. If you have specific questions about this opportunity, you may email: The Faculty Search Committee Chair, Infocomm Technology Cluster Singapore Institute of Technology Email: ictrec@singaporetech.edu.sg

Part-time (17.5 hours per week), 12-months fixed-term opportunity Join a leading neuroimaging research team at the University of Sydney and contribute to groundbreaking multiple sclerosis research while developing your expertise in MRI analysis, data science, and clinical research coordination Base Salary $89,755 - $100,495 (pro-rata) + 17% superannuation About the opportunity Join the Save Sight Institute at the University of Sydney and play a key role in a major MRFF-funded multiple sclerosis neuroimaging study that is advancing the understanding of disease progression and treatment outcomes. Working within a multidisciplinary research team, you will contribute to the delivery of cutting-edge research through a combination of advanced MRI data processing, neuroimaging workflow coordination, and study administration. We are seeking a highly organised and technically capable Research Assistant to support a large MRFF-funded multiple sclerosis imaging study based at the University of Sydney. The role combines advanced neuroimaging data management and MRI pipeline execution with day-to-day study coordination responsibilities. The successful candidate will work with large-scale longitudinal clinical and imaging datasets derived from the MSBase Registry and MSBase Imaging Repository (MSBIR), including extraction and organisation of treatment and MRI timepoint data, coordination of imaging workflows, and execution of MRI preprocessing pipelines to prepare data for downstream lesion analysis. Responsibilities will include image registration, quality control, pipeline management, coordination of data flow across collaborating sites, and assisting with overall study administration and project coordination. The position requires experience working with MRI analysis pipelines and neuroimaging software (e.g. FSL, ANTs, FreeSurfer, MRtrix or similar), strong organisational skills, and the ability to work independently within a multidisciplinary MS neuroimaging research team. The role is expected to involve approximately 80% MRI/data processing work and 20% study coordination activities. Your key responsibilities will be to: Coordinate and support the delivery of a large-scale multiple sclerosis neuroimaging research study, ensuring research activities are completed accurately and within agreed timeframes. Manage and process complex longitudinal clinical and MRI datasets, including data extraction, organisation, quality control, and preparation for downstream analysis. Execute and maintain MRI preprocessing and analysis pipelines, supporting image registration, workflow management, and data integrity across collaborating research sites. Collaborate with researchers, clinicians, and external partners to facilitate study operations, coordinate imaging workflows, and contribute to project objectives and outcomes. Prepare and maintain study documentation, reports, ethics and governance records, research outputs, and other project-related materials in accordance with regulatory and institutional requirements. Support the administrative and operational requirements of the research program, including stakeholder communication, financial processing, compliance activities, and continuous improvement initiatives. About you Tertiary qualifications in a relevant field. Demonstrated experience working with MRI analysis pipelines and neuroimaging software such as FSL, ANTs, FreeSurfer, MRtrix, or similar tools, with the ability to manage and process complex imaging datasets. Strong data management, analytical and problem-solving skills, including experience handling large-scale longitudinal research data and maintaining high standards of data quality and accuracy. Excellent organisational, communication and stakeholder management skills, with the ability to coordinate multiple priorities and work effectively across multidisciplinary research teams and collaborating organisations. Experience working in a research-intensive environment, including supporting research administration, literature reviews, data reporting, and the preparation of research outputs and project documentation. A proactive and collaborative approach, with strong attention to detail, sound judgement, and the ability to work independently while contributing positively to team objectives. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Roshik Prasad, Recruitment Operations by email to roshik.prasad@sydney.edu.au Copyright The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Sunday 12 July 2026 11:59 PM

Schemes of Service: Research Division: Engineering Employment Type: Fixed Term Role Overview As a University of Applied Learning, SIT works closely with industry in its research pursuits. Our research staff have the opportunity to develop industry-relevant applied research capabilities while contributing to impactful projects that address real-world operational needs. We are seeking a Research Engineer to join an applied research project focused on the development of an embodied AI robotic system for urban infrastructure inspection and maintenance. The project involves the design, integration, and validation of robotic mechanisms, sensing systems, and automated workflows for outdoor infrastructure maintenance applications.The successful candidate will work closely with a multidisciplinary research team and industry partners to investigate, prototype, test, and implement practical robotic solutions that can operate in real-world environments and support more efficient, safe, and scalable infrastructure maintenance. Key Responsibilities Design, develop, and integrate customised mechanical mechanisms for robotic systems, including robotic end-effectors, grippers, tool-changing interfaces, material handling systems, and task-specific automation modules. Develop 3D CAD models, fabrication drawings, Bills of Materials (BOMs), and technical documentation using SolidWorks. Perform mechanical design analysis and engineering calculations, including load estimation, actuator sizing, structural integrity, tolerance analysis, and vibration/shock mitigation. Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability. Build, assemble, and commission mechanical prototypes and experimental robotic systems. Conduct laboratory and field testing, analyse results, troubleshoot issues, and implement design improvements through iterative development. Source and evaluate commercial components, and work with vendors, fabricators, and contractors to support fabrication and assembly. Support field deployments and technology demonstrations with industry partners. Prepare technical reports, design documentation, test reports, risk assessments, and project deliverables. To liaise and communicate with internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Requirements Bachelor’s degree or higher in Mechanical Engineering, Mechatronics Engineering, Robotics Engineering, or a related discipline. Strong hands-on experience in mechanical design, prototyping, fabrication, and system integration. Proficiency in SolidWorks for 3D modelling, assembly design, and engineering documentation. Good understanding of mechanical design principles, materials, manufacturing processes, and engineering analysis. Experience working with robotic systems, sensors, actuators, or mechatronic systems is advantageous. Strong problem-solving skills, attention to detail, and ability to work independently and within multidisciplinary teams. Willingness to conduct laboratory and field testing when required.