The Hague University of Applied Sciences

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, 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 a Pharmaceutical Innovation Programme Singapore research project where you will be part of a collaborative team exploring innovative ways of understanding extrusion processing for pharmaceutical drug materials and products using rheological measurements. Key Responsibilities In this role, you will characterize mixtures of pharmaceutical excipients and drug materials to develop methodologies for screening hot-melt extrusion formulations and selecting optimal operating conditions using rheology, with the objective of producing amorphous-solid-dispersions. You will validate the developed processing space and operating conditions for extruded pharmaceutical formulations using a lab-scale extruder. In collaboration with researchers at the Singapore-MIT Alliance for Research and Technology (SMART), you will characterize the physical properties and performance of intermediate pharmaceutical drug products. The created methods will be transferred to the industrial partner to enhance their product development process using rheological characterization. More specific responsibilities include: Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met. Undertake characterization of pharmaceutical active ingredients, polymeric excipients, and plasticizers for producing amorphous-solid-dispersions. Perform lab-scale hot-melt extrusion of pharmaceutical materials to validate predicted processing conditions and product outcomes. Collaborate with broader pharmaceutical research team at SMART. Design, execute, and interpret experiments independently. Author papers in high-quality journals in areas that are related to the research. Prepare and deliver reports and presentations for industrial partners Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaise with vendors/suppliers. Work independently, as well as within a team. Job Requirements Have deep hands-on experience with at least one of the areas of polymer rheology, extrusion processing, pharmaceutical engineering with small molecules. Relevant competence in the areas of wet lab work, analytical instrumentation, material science and formulation Have an advanced degree in chemical engineering, mechanical engineering, materials science and engineering, or a related field. Knowledge of any of the following will be advantageous: rheology, physical characterisation, crystallisation, polymer melts, extrusion, material physics. Key Competencies 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. Proficient in communicating via technical writing and presentations. 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 industry innovation research project, where you will be part of the research team to develop solutions for adapting CCS2 chargers for marine electrical vessels and optimizing DC fast charging technology for marine applications. As a Research Engineer (Electrical Engineering – Marine EV Charging & DC Fast Charging), you will be part of a dynamic team working on cutting-edge research and industry projects. You will: Participate in and manage the research project with the Principal Investigator (PI), and industrial partner to ensure all project deliverables are met. Develop and implement solutions for adapting CCS2 chargers to marine electric vessel applications. Design experiments for testing and analyze DC fast charging for high power marine EVs and assess communication integrity at various operating conditions. Test interoperability of charger with marine EVs and ensure compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems. Develop and troubleshoot embedded hardware and software for charger communication and control. Work on energy storage integration for marine charging infrastructure. Collaborate with industry partners and regulatory bodies on marine charging standards and DC fast charging protocols. Support knowledge transfer, prototype development, and system integration. Carry out Risk Assessment and ensure compliance with Work, Safety, and Health Regulations. Coordinate procurement and liaise with vendors/suppliers to support project needs. Work independently, as well as within a team, to drive research and development efforts Job Requirements Degree/Master’s in Electrical Engineering, Power Electronics, or related fields. Strong knowledge of DC fast charging, energy storage systems, charger communication standards, and power electronics. Experience in charger communication protocols (e.g., CAN, PLC, Modbus, IEC61851). Experience in hybrid or full electrical systems design or analysis and system integration Experience in designing and developing experiments and associated test-set up for testing and troubleshooting electrical systems Proficiency in EMI noise analysis and power quality assessment. Knowledge of marine electrical systems and power electronics systems is an advantage. Hands-on experience with embedded systems, microcontrollers, and software development is an advantage. Passion for applied research, problem-solving, and industry collaboration. Key Competencies Strong analytical and troubleshooting skills. Ability to work in a team-oriented and interdisciplinary environment. Effective communication and technical documentation skills. Adaptability to work on industry-focused projects with tight deadlines. Able to build and maintain strong working relationships with people within and external to the university. Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work