University of Arkansas at Pine Bluff

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 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 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. 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

Department: Computer Science Vacancy ID: 041423 Closing Date: 17-May-2026 We are seeking two Research Software Engineers to join the ScholarAI project, each bringing a strong foundation across frontend, backend, and AI integration, with individual strengths in either UI/UX design or backend architecture. Both developers must have hands-on experience with React and Next.js, solid design sensibilities, and the ability to build intuitive, high-quality user interfaces. On the backend, candidates should demonstrate strong proficiency in PHP frameworks and Python, with deep knowledge of AI technologies and experience integrating AI services into scalable, component-based systems. These roles require versatility, creativity, and a collaborative mindset, as you will help shape a cutting-edge product from its early stages. These positions are funded by Research Ireland under the ARC Hub for ICT and represent a unique opportunity to work on a cutting edge platform with real-world impact. Salary (2026): €54,851 p.a.  Appointments will be made in accordance with public sector pay provisions.  Closing Date: 23:30hrs (local Irish time) on Sunday,17th May 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer  The position is subject to the Statutes of the University

SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our education, providing them with a talented workforce and benefiting from our collaborative research endeavours. Our University’s distinctive applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside and outside of the classroom. These active and authentic learning opportunities ensure that graduates enter their careers with relevant skills and competence. In research, SIT faculty aims to bridge the gap between knowledge creation and utilisation. Our faculty work closely with industry on translational research and innovation, focusing on addressing significant industry challenges to positively impact businesses. The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support exceptional Singaporeans who are interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen Recently completed postdoctoral training Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas  Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake. Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.  Final Interview by Panel for shortlisted applicants will take place from March to April 2026. Awards for the 2026 intake will be finalised by July 2026. Supported Areas for START Health Sciences Diagnostic Radiography: Radiography involves the controlled use of ionising radiation, radioactive substances and non-ionising radiation to produce diagnostic quality images of the human body, facilitating the diagnosis and treatment of patients (Allied Health Professions Act 2011). Dietetics: Dietetics involves the management of medical conditions and promotion of health through application of food and nutrition. Dietitians provide medical nutrition therapy and implement specific diet strategies for chronic medical conditions, illnesses, or injuries (Singapore Nutrition and Dietetics Association). Nursing: Registered nurses render health services to individuals, families, and communities (Singapore Nursing Board Code for Nurses and Midwives 2018). Speech and Language Therapy: Speech and Language Therapy involves assessment, diagnosis, treatment and management of communication and swallowing disorders (Allied Health Professions Act 2011). Occupational Therapy: Occupational therapy involves assessment and interventions to work or school, self-care, leisure or play, physical environments as well as cognitive, mental and physical components of function to enable individuals affected by physical injury or illness, developmental or learning disabilities, psychosocial dysfunctions or the aging process, to engage in everyday life occupations in order to maximise independent performance of life roles, prevent disability and maintain health (Allied Health Professions Act 2011). Physiotherapy: Physiotherapy involves assessment, treatment, rehabilitation and prevention of pain, injury, or any other physical dysfunction, through the use of education, exercise, manual therapy, electro-physical agents, technology or any other treatment for those purposes (Allied Health Professions Act 2011).