Federal University of Rio Grande do Norte (UFRN)

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

Description The Social Science Experimental Laboratory (SSEL) at New York University Abu Dhabi invites applications for a Post-doctoral Researcher position. We seek an ambitious, well-trained, and collaborative scholar with a PhD in economics or a related field. Candidates must have expertise in experimental methods and prior experience conducting social science experiments (lab, lab-in-the-field, online, and/or field). Researchers working at the intersection of experiments and other methods (theory, empirical) as well those studying human behavior and artificial intelligence are especially encouraged to apply. The successful candidate is expected to: Conduct and publish research in leading journals in social science or interdisciplinary outlets. Collaborate with SSEL board members and affiliated faculty. Contribute to the smooth operation of the laboratory. Participate in the academic activities of the division. This position does not include teaching duties and the SSEL provides financial support for travel and research. The successful applicant will join a vibrant community of economists, sociologists, and political scientists conducting cutting-edge experimental research on human behavior. The Social Science division holds active seminar series, as well as workshops and events year round. The SSEL also maintains close ties with the Center for Behavioral Institutional Design (CBID), thereby offering many opportunities for collaboration, idea exchange, and research visibility. The position offers a highly competitive salary, generous benefits (including housing, transportation, travel allowances, and educational subsidies for children), and full health insurance and retirement contributions. The UAE does not levy income tax. Appointments are for two years, renewable for at least one additional year subject to satisfactory performance. For questions please email Drs. Andrzej Baranski (a.baranski@nyu.edu) or Nikos Nikiforakis (nikos.nikiforakis@nyu.edu) Application process: Applications will be reviewed on a rolling basis until the position is filled. To apply, please submit (in PDF format): Cover letter Curriculum vitae Job market paper Transcript Research statement (highlighting research experience) At least three confidential reference letters About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.

The applied research at SIT brings our rich industry experience and technical skills into our work, creating a better physical environment where learning and innovation take place. We work with teaching programmes and innovation projects to improve the skills of our students and strengthen and energize our industry and the wider community. In collaboration with NEA, the Energy Efficiency Technology Centre (EETC) at Singapore Institute of Technology (SIT) aims to be the leading technology innovation centre to support local industries on energy efficiency initiatives. EETC aspires to promote and develop energy efficiency capability and new technologies in the local energy ecosystem for industrial sectors. Key Responsibilities Work with EETC team members and companies on energy assessment projects in industrial systems Assist and/or co-develop training in energy efficiency in industrial systems to adult learners and students Mentor students in energy assessment projects to enhance their technical problem-solving skills. The learning activities may be classroom training, laboratory classes, projects. Development of learning activities / materials and assessment of students may form part of the responsibilities. Support research and industrial project work undertaken by the university, where opportunity arises. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure smooth execution of the energy audits. For those hired at senior levels, management responsibilities may be included. Manage and administer training programmes at the Centre.  Job Requirements Have hands-on experience in energy assessments and energy efficiency projects in some of the following areas: Industrial systems such as: Chilled Water System, Cooling and Refrigeration System, Mechanical Ventilation System, Heating system, Process Separation, Process Heat Integration, Process Compressor System, Steam and Condensate System, Compressed Air System, Motor Driven System, Power Distribution System and Electric Motors, Lighting System, Renewable Energy System, Process Specific system etc. Have a Degree in Engineering or equivalent. Have at least 5 years of project work experience in energy efficiency. Certified Energy Efficiency Opportunity Assessor or Singapore Certified Energy Manager will be advantageous. Licensed LEW (Technician grade or higher) will be advantageous for one of the positions. *Note: The incumbent will be appointed as Research Fellow / Research Engineer if successful.