Guangxi Medical University

Introduction 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 software platforms for supporting multi-user AR/VR applications. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake one of the three responsibilities: Develop an interactive metaverse application for online education, team collaboration, and workplace training with a focus on real-time interactive simulation. (app developer) Design, build, and implement a multiplayer architecture and backend services for a real-time AR/VR multiplayer system. (network engineer) Design, build, and implement the the game engine for both client and server. (game engine software engineer) Perform testing Perform documentation and optionally publishing paper to international conferences/journals. 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. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems For network engineer role: Experience in computer networking, multiplayer architecture, and backend services Experience in connecting backend to various internal and external services and microservices. Deep knowledge in computer network protocols (e.g., TCP/IP, UDP, and other relevant network protocols). Expertise in handling latency, packet loss, and synchronization issues. Expertise in designing a scalable server architecture for handling thousands to millions of concurrent players, Load balancing, auto-scaling, and server instance management. Expertise in securing a multiplayer game network system. Knowledge of encryption techniques to ensure data in transit remains confidential. Prevention measures against common threats like DDoS attacks, SQL injection, and cheating. Experience in multiplayer game services such as Azure PlayFab, AWS GameLift, Google Cloud Servers, and other similar services. Strong knowledge in C++ will be an advantage. Experience with database management systems Familiarity with core engine technologies such as engine architecture and streaming. Familiarity in developing optimized modules in C#/C++ within Unity and/or Unreal Engine. For game engine software engineer: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage 3D engine development experience Familiarity with core engine technologies such as engine architecture, multi threading, streaming, computer graphics and advanced real-time rendering techniques Experience developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems

Cluster: Engineering Job Purpose We are seeking a Research Fellow at the Singapore Institute of Technology (SIT) to undertake high-quality applied research for a funded project at the Singapore Institute of Technology aimed at advancing understanding of lift-generated noise in residential buildings. The role supports the achievement of the grantor’s objectives and proposed research outcomes through rigorous investigation, close collaboration with the PI and research team, and the development of industry-relevant insights for the built environment sector. We are looking for a passionate and detail-oriented researcher who is committed to producing careful, high-quality technical work. The primary responsibility of this role is to plan and execute field measurements and analytical investigations of lift traction motor noise and vibration in residential buildings, including conducting sound intensity and vibration measurements, analysing acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI, and research team members to ensure that all technical milestones and project deliverables are achieved. Undertake the following responsibilities in the project: i. Plan and conduct field measurements of lift traction motor noise and vibration in residential buildings using sound intensity probes, accelerometers, and multi-channel data acquisition systems. ii. Perform signal processing, vibration analysis, and acousto-structural transmission path investigations to identify dominant noise sources and structural coupling mechanisms. iii. Develop and implement measurement protocols, experimental setups, and data acquisition procedures for airborne and structure-borne noise studies. iv. Analyse measurement data using specialised acoustic and vibration analysis software, and develop predictive or simulation models to interpret noise propagation and structural vibration behaviour. v. Prepare technical reports, research publications, and presentations to disseminate findings to academic, industry, and funding stakeholders. vi. Assist in the development of mitigation strategies or engineering guidelines to reduce lift-related noise transmission in residential environments. Coordinate site access, field measurements, and technical discussions with project collaborators, industry partners, and building stakeholders. Coordinate procurement of equipment, liaison with vendors/suppliers, and ensure proper calibration, operation, and maintenance of measurement instrumentation. Carry out laboratory and project risk assessments, and ensure compliance with Work, Safety and Health (WSH) regulations during field measurements and experimental work. Co-supervise undergraduate student projects related to acoustics and vibration measurements when required. Work independently, as well as within a multidisciplinary research team, to ensure timely completion of project tasks and research outputs. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements PhD in Acoustics, Mechanical Engineering, Aerospace Engineering, Civil Engineering, or a closely related field. Have relevant competence in acoustics, vibration, and structural dynamics. Familiarity with signal processing and vibration/acoustic analysis techniques. Experience with data analysis using tools such as MATLAB, Python, or equivalent engineering software. Experience with experimental and instrumentation measurements setup for noise and vibration (e.g., sound intensity probes, vibration sensors, or similar instrumentation) involving microphones and accelerometers, or multi-channel data acquisition systems will be advantageous. Knowledge of building acoustics, structure-borne noise, or machinery vibration will be advantageous. Prior research experience with peer-reviewed publications in acoustics, noise control, or vibration engineering will be advantageous. Key Competencies Possess strong analytical and critical thinking skills in solving engineering and research problems. Proficient in technical writing and presentation for reports, publications, and stakeholder communication. Able to work independently while also contributing effectively within a multidisciplinary research team. Demonstrate strong initiative and take ownership of assigned research tasks and project deliverables. Able to organise and manage field measurements, instrumentation setup, and experimental data collection. Good problem-solving ability in addressing technical issues encountered during experiments or measurements. Able to build and maintain effective working relationships with project collaborators, industry partners, and research staff. Self-directed learner who is committed to continuous learning and professional development. 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.

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 innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing the perception system performance for autonomous vehicles (AV). 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: Conduct the research work in Human-in-the-Loop AI perception system for autonomous driving Work with the research team, collaborators and the industry partner to design the framework of the proposed solution Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be advantageous. Have strong research record, preferably on top-tier computer science/engineering conferences. Key Competencies Specialized in computer science, computer engineering, or relevant disciplines Enthusiasm in the Deep learning and AV related research Proficient in paper writing and presentation Possess strong analytical and critical thinking skills 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 Show strong initiative and take ownership of work