Dulaty University

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 support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

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

Beijing Normal-Hong Kong Baptist University (BNBU) now invites candidates for this position which is expected to be filled in September 2026: Professor/Associate Professor in Applied Psychology (Ref: FST260107) Job Description Candidates with expertise in psychology and neuroscience including but not limited to the following areas: Social Psychology, Developmental Psychology, Educational Psychology, Personality Psychology, Quantitative Psychology, Psychological Methods, Psychological Assessment, Cognitive Science, Cognitive Neuroscience, Industrial/Organizational Psychology, Human Factors, Consumer Psychology, Counselling/Clinical Psychology, Abnormal Psychology, Psychotherapy, or Psychopathology. Candidates in the areas of Counselling/Clinical Psychology, Abnormal Psychology, Psychotherapy, or Psychopathology will also be considered at Assistant Professor level. Job Requirements Candidates should have a PhD degree in the areas above. Successful candidates are expected to be committed to excellence in teaching at undergraduate and/or postgraduate levels in English. Candidates with demonstrable ability to undertake independent research leading to outcomes with a strong impact, such as publications in peer-refereed SCI/SSCI journals and scholarly presses will be considered as competitive candidates. Neuroscience-related research experience (e.g., fNIRS, EEG/MEG/iEEG, and/or fMRI) constitutes an advantage rather than a necessity. Academic rank will be determined in accordance with successful candidate’s experience and accomplishments. Benefits and Appointment Terms Commencing salaries will be commensurate with qualifications and relevant experience. Fringe benefits include housing allowance, leave and social insurance. Appointment to this position will initially be made on a fixed-term contract with mutual agreement. Closing Date: Open until filled Application Procedures *Please complete the job application form and upload the requested documents online https://hrapp.bnbu.edu.cn/recruit/job/vacancy/JobDetail/880.  All information provided will be treated in strictest confidence. *If you failed to submit your application online, please send your application by emailing to recruit@bnbu.edu.cn. Applications should include a curriculum vitae and a completed "Job Application Form" which can be downloaded from https://hro.bnbu.edu.cn/Job_Opportunities_/Application_Procedure.htm. Please indicate the position being applied for, including the field of expertise, level and reference number. The University reserves the right not to fill this position, or to extend the search until suitable candidates are identified or to make an appointment by invitation. We are an equal opportunity employer committed to creating a diverse environment.