Sphinx University

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. As a young university, we encourage innovation, and seek the right candidates to join us in realising our vision. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready graduates. We currently have positions available at all levels, from Lecturer to Full Professor, in the following areas:  Accounting: Financial Accounting  Air Transport Management: Airlines Management, Airport Management  Digital Communications & Integrated Media: Digital Web Analytics, Integrated Media Management, Digital Media Production Hospitality Business: Digital/Interactive Marketing, Data Analytics, Information Technology  Successful candidates will join the Business, Communication and Design (BCD) Cluster (one of five academic clusters in SIT) as members of a team of accomplished experts who are passionate about higher education and deeply involved in industry transformation through applied research programmes. Faculty in the BCD Cluster undertake funded industry-relevant research, teach courses in Accounting, Aviation Management, Communication Management, and Hospitality Business, as well as supervise industry masters and doctorate students in relevant topics. They are also provided paid leave to undertake consultancy work with industry and/or spend time attached with industry. We will prioritise collegial and team-spirited candidates with either (a) an earned Ph.D. or equivalent from a reputable university with specialisation in any of the above-mentioned areas and some relevant work experience, or (b) extensive industry experience with demonstrated strong technical expertise in the above-mentioned areas.  Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. 

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 Research Engineer (Modelling and Simulation) will support a one-year applied research project and evaluate a mobile DC microgrid for military tactical applications. The role involves developing detailed power system models in ETAP and MATLAB/Simulink, conducting performance and reliability simulations, and analysing the behaviour of solar PV, BESS, diesel generators, and DC distribution systems. The engineer will also document modelling assumptions, prepare technical reports, support procurement and project operations, and assist in supervising student researchers. This position is ideal for candidates with strong grounding in power system modelling, microgrid technologies, and simulation-based research. Key Responsibilities Participate in and manage the research project with the PI, Co-PI, and team to design a robust mobile DC microgrid for military operations. Develop detailed simulation models simulation models in ETAP and MATLAB/Simulink for solar PV arrays, battery energy storage systems (BESS), vehicle-based deployable storage, diesel generator sets and rectifiers, DC distribution bus and electrical loads. Implement and carry out simulation studies to analyse system performance under various operating conditions such as extreme weather, load variation, equipment failure and deployment constraints. Perform load flow, transient stability, reliability, and efficiency studies to evaluate microgrid architecture options. Support the integration of various generation assets into a cohesive DC microgrid model. Document modelling assumptions, system parameters, simulation results, and engineering insights for final reporting. Prepare simulation diagrams, charts, and technical specifications for submission. Assist with procurement of software licences and technical equipment. Conduct Risk Assessments and ensure compliance with WSH regulations. Support supervision of capstone project students involved in the project. Work independently and collaboratively to maintain research software and project tools. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned. Job Requirements Bachelor’s degree or above in Electrical Engineering, Power Engineering, or a related field from a recognised university. Knowledge and experience in modelling and simulation of microgrids or power systems using ETAP and/or MATLAB/Simulink. Experience in distributed energy resources (DERs), PV, BESS, diesel gensets, or DC microgrids is highly advantageous. Familiarity with energy management systems, microgrid control strategies, or predictive/dynamic control will be an advantage. Experience in conducting simulation studies, analysing results, and preparing technical reports. Commitment to supervising student projects and supporting hands-on training activities. Strong analytical, problem-solving, and project management skills. Excellent technical writing, communication, and interpersonal skills.

Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have opportunities to tackle real-world, industry-relevant problems, working alongside faculty members and professional officers. The SIT Centre for Intelligent Robotics (CIR) is an applied research centre responsible for developing and maintaining core applied robotics and embodied AI capabilities for real-world deployment. CIR is seeking a Robotics Engineer to implement state-of-the-art learning-based robotic manipulation methods on physical platforms for industry-driven applications, with an emphasis on contact-rich manipulation, robustness, and safe operation. The successful candidate will work closely with physical robots to translate recent advances in learning-based robotics into reliable, deployable systems. Key Responsibilities Implement, adapt, and evaluate state-of-the-art learning-based methods (e.g. imitation learning) for contact-rich robotic manipulation. Integrate hardware and software components into a functional system for real-world deployment. Design and execute field trials (test protocols, data logging, troubleshooting, reliability improvements). Produce technical documentation, reports, and implementation guides to support knowledge transfer and maintainability. Support project procurement activities (e.g., technical specifications, vendor evaluation, quotations) for robotics hardware, sensors, and compute resources. Contribute to publications and technical notes to disseminate research outcomes. To communicate and liaise with any 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 Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Experience in imitation learning and reinforcement learning for robotics applications. Hands-on familiarity with robotic manipulators and motion planning. Proficiency in deep learning frameworks such as PyTorch or TensorFlow. Experience with ROS / ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation tools such as Gazebo, Isaac Sim, or MuJoCo. At least 2 years of experience in robotics research or industry projects.