Embry-Riddle Aeronautical 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

Adjunct Faculty - McLane College of BusinessID: 1921Department: McLane College of BusinessType: Part-time FacultyPost Date: 10/08/2024Position Available Date: N/ADescriptionThis is a part-time, Adjunct Faculty position.THIS POSTING IS NOT A GUARANTEE OF AN OPEN POSITION. Applications for part-time adjunct faculty positions are accepted on a continuous basis and reviewed when openings become available. Future teaching assignments are on a semester-by-semester basis, which may include fall, spring and summer. The University of Mary Hardin-Baylor seeks qualified Christian adjunct faculty to teach part-time in the McLane College of Business. Applications are accepted on a continuous basis and reviewed when openings become available.REQUIREMENTS:Must be an active and committed Christian who will support the University's mission and who will be an active participant in their local church.Master's degree and 18 completed graduate hours of one or more Business Disciplines is required.Teaching experience is preferred.Must agree to the University's Employee Statement of Understanding.Salaries: Competitive salary. Benefits include free access to the university's Center for Effectiveness in Learning and Teaching (CELT) professional development support, adjunct resources room at CELT, campus library, campus exercise facility and many campus events; employee discount for meals and campus store purchases; free parking; and technology assistance.To Apply: Please click the "Apply Now" link and complete an application for employment. Please submit the following documents along with your application: a resume or CV copies of transcripts A one page or less description of your own Christian beliefs and commitments. A cover letter of interest. Please clearly indicate in your cover letter specific days/times you may be available for teaching. Application packets may also be completed in person:UMHB Human Resources DivisionUMHB Box 8020900 College StreetBelton, TX 76513For information regarding employment at the University of Mary Hardin-Baylor, please visit our Careers Site.To apply, visit https://umhb.applicantstack.com/x/detail/a2zc18oys4gqCopyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-2288f88ce056f64f8a2edb00e04882c1

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Postdoctoral Fellow - Philosophy of Contemporary & Future Science Department of Philosophy (Post Ref.: 25/46) The Department of Philosophy at Lingnan University is one of the best in Asia. Faculty members publish in leading journals in the field, such as Analysis, Australasian Journal of Philosophy, British Journal for the Philosophy of Science, Ethics, Journal of Philosophical Logic, Mind, Noûs, Philosophers’ Imprint, Philosophical Quarterly, Philosophical Studies, Philosophy and Phenomenological Research, and Philosophy of Science. The department has a thriving PhD programme and also hosts several Postdoctoral Fellows/Research Assistant Professors. More information on the research interests and publications of philosophers at Lingnan University can be found at: https://www.LN.edu.hk/philoso/?page_id=9. Requirements Areas of Specialization: Philosophy of Science; Formal Epistemology; AI; or Philosophy of Biology, Chemistry, or Physics These posts arise in connection with a Senior Research Fellowship on ‘Philosophy of Contemporary and Future Science’ awarded to Professor Darrell Rowbottom, which runs from 2022–2027. Professor Rowbottom is now seeking Two Postdoctoral Fellows to join the project team over the course of one to two years. Details on the project, which involves scientists working with philosophers, can be found at www.pocfs.org. We are especially interested in candidates whose work connects with the natural sciences, and especially with recent developments therein (such as increased interdisciplinarity and the involvement of AI). However, we are open to considering other applicants with excellent research records and a clear, well-articulated vision of how they can contribute to the project. The appointee will work as part of the team headed by Professor Rowbottom. This will involve: (1) carrying out collaborative research (including with scientists); (2) authorship and co-authorship of papers suitable for publication in leading journals; (3) authorship and submission of derivative grant proposals to funding bodies; (4) organizing seminars, reading groups, workshops and other related research activities; (5) teaching courses at undergraduate or postgraduate levels; (6) performing occasional outreach activities (such as lectures aimed at the general public); and (7) managing/updating the project website. The teaching load will be one or two courses per year, distributed according to the departmental needs. English will be the language of instruction. Appointment The minimum annual salary for the posts will be 432,000 HKD (which corresponds to 44,000 GBP and 55,000 USD at current exchange rates). A gratuity of approximately 130,000 HKD will be paid after two years of service. Please note that tax in Hong Kong is exceptionally low; for instance, income tax on the annual salary might be as low as 30,000 HKD. See https://www.ird.gov.hk/eng/ese/st_comp_2022_23/stcfrm.htm for a tax calculator. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance (where appropriate). The appointment start date is flexible. Contract duration is expected to be from one to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. Informal inquiries concerning the posts can be directed to Professor Rowbottom, at darrellrowbottom@ln.edu.hk. We are an equal opportunities employer. The review of applications will start and continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.