Nebraska Wesleyan University

As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to develop applied research capabilities that translate directly into real-world deployment. Our research staff are equipped with industry-relevant skills through hands-on work on operational research platforms and systems. The Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime industry in Singapore and globally. We are seeking a certified Power Electrical Engineer to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with the Principal Investigator (PI), Co-PI, and research team members to manage and execute the project, ensuring that all deliverables are successfully achieved. Key Competencies Design and review high-power electrical systems, including switchgear, transformers, generators, and protection schemes Perform power system studies such as load flow, short-circuit, and protection coordination Operate and control high-power or high-voltage equipment Lead testing, commissioning, and troubleshooting of electrical systems Ensure compliance with electrical safety rules, standards, and regulatory requirements Support maintenance planning, reliability improvement, and asset management Work independently, as well as within a team, to ensure proper operation and maintenance of equipment The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Job Requirements Bachelor’s degree in Electrical Engineering or equivalent Certification or authorisation to design and operate high-power or high-voltage electrical systems Minimum 2 years of relevant experience Key Competencies  Good knowledge in electrical equipment and power system design. Good knowledge in reliability analysis. Strong knowledge of HV and LV power systems and protection Experience with power system analysis tools Strong safety mindset and clear technical communication skills

Job Purpose: 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 a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement scene mapping, environment perception, and path-planning algorithms using LiDAR and RADAR data to support evacuation guidance and first-responder navigation. Build real-time predictive models for fire intensity and spread forecasting and integrate LLM-based scene description and decision support into an end-to-end deployable system. 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 Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through projects, internships, or research assistantships considered sufficient. Prior experience in publishing is desirable.

Ref.: 534420 Work type: Full-time Department: Department of Obstetrics and Gynaecology, School of Clinical Medicine (20900) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Clinical Professor (several posts) in the Department of Obstetrics and Gynaecology, School of Clinical Medicine (Ref.: 534420), to commence as soon as possible, on a four-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second four-year fixed-term contract, subject to satisfactory performance. Exceptionally outstanding candidates may be considered for appointment on tenure terms. The Department is seeking for candidates from the following disciplines within the scope of obstetrics and gynaecology to join our team: General Gynaecology, Gynaecological Oncology, Reproductive Medicine & IVF, General Obstetrics, High Risk Obstetrics, Fetal Medicine, and Prenatal Diagnosis. Applicants should hold a specialist registration with the Medical Council of Hong Kong or be eligible to apply to the Hong Kong Academy of Medicine for the Certification of Specialist Registration, and possess other relevant higher academic qualifications (e.g., MD, MS, PhD). They should have a distinguished and sustained record of high-quality impactful research (basic science, translational and/or clinical research), with demonstrated clinical excellence. They should also have achieved international recognition for their scholarship and professional expertise. In addition, applicants must have an outstanding and consistent record of excellence in teaching and learning and/or knowledge exchange, services and administration. Preference will be given to those with demonstrated administrative leadership and management experience in universities or healthcare settings. The appointees will play a pivotal role in ensuring the highest standards of quality across all aspects of its teaching, research, and clinically oriented activities, etc. They will promote academic collaboration both within and outside the Faculty and University and explore new strategic directions for the further development of the Department. Applicants who have responded to the previous advertisement (Ref.: 532420) need not re-apply. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application for the above posts. Applicants should apply online, upload an up-to-date C.V. and provide the contact information of at least 3 referees. Review of applications will start from May 4, 2026 and continue until June 30, 2026, or until the posts are filled, whichever is earlier.