Bucerius Law School

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 Research Engineer will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job 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: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate the models into a working system prototype. Perform data annotation. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. Prepare project documentation, technical reports, and academic publications. Collaborate with industry partners and contribute to technology transfer efforts. Support the design of simple web interfaces or dashboards to visualise CV model outputs, working alongside developers when needed. Contribute to system integration by applying familiarity with backend/frontend workflows, ensuring CV models can be accessed through user-facing applications. Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Technical Requirements: Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques  Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong computer vision expertise and proven success in 1-2 substantial CV projects are welcome to apply regardless of domain-specific experience Familiarity with Web/Full-Stack Development: Basic understanding of frontend frameworks (e.g., React, Angular, or Vue.js) Eposure to backend development (e.g., Flask, Django, Node.js) Awareness of RESTful APIs and microservices architecture. General knowledge of database systems (SQL/NoSQL). Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling Educational Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices

Full - time, fixed term opportunity for three years Exciting opportunity to be a Senior Research Fellow with the University of Sydney Base Salary starting at $156,103 + 17% superannuation About the opportunity We are seeking a Senior Research Fellow - Neuroscience Future Leader to establish and grow an independent research profile while contributing to high-impact research within the discipline. The role involves leading innovative research programs, securing competitive funding, and providing leadership that strengthens the university's reputation as a national leader in neuroscience research. Your key responsibilities will be to: build and maintain a reputation for academic excellence through independent and innovative contributions to research, expanding knowledge and practice in the discipline disseminate research knowledge and facilitate knowledge transfer to drive impact maintain a strong research profile, including publication in academic or professional journals and delivering keynote presentations lead successful competitive research grants and generate research income through diverse funding opportunities maintain quality, standards and excellence in research activities and outputs provide mentoring and guidance to lower-level academics make a significant contribution to research, administrative and governance activities, including participation in committees and academic boards contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes are valued and enabled understand and contribute to furthering the university and faculty or school strategic agenda undertake other duties and contribute to projects appropriate within the classification level as required. capacity to work effectively with the Neurology Department at Concord Repatriation General Hospital, contributing specialist skills in neurology focused research areas such as neurogenomics, neuroimmunology and precision neuroscience. About you PhD and academic qualifications in a relevant field significant experience conducting original research and engaging in scholarly activity significant experience supervising and mentoring others, including supervision of PhD students to completion. an established network of academic, industry and professional partners and stakeholders a national reputation as influential in expanding knowledge within the discipline strong understanding of strategic issues in the higher education sector ability to build and leverage partnerships to enhance the standing of the faculty and university. demonstrated laboratory expertise supporting high quality research, diagnostic investigation and mechanistic discovery. extensive experience working in close collaboration with neurologists and multidisciplinary clinical teams. strong engagement in translational research that bridges laboratory findings with clinical application and patient impact. proven record of securing competitive research funding and providing effective curation and stewardship of grant supported programs. Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Tuesday 14 April 2026 11:59 PM

Description The Division of Engineering and the Center for Interacting Urban Networks (CITIES) at New York University Abu Dhabi are inviting applications for a Post-Doctoral Associate to join the research group of Prof. Monica Menendez. The group focuses on monitoring, modeling, and controlling the operations of multimodal transportation systems. Particular attention is paid to new vehicle technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science is required. Additionally, excellent communication skills in English and scientific creativity are essential. Salary is dependent upon qualifications. The terms of employment are very competitive and include a flexible working environment, annual home-leave travel allowance, generous housing and relocation benefits, medical insurance with access to world-class facilities, as well as educational subsidies for children. Salaries are tax-free in the UAE (for US tax, the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling, computing, publications, and access to excellent world-class research facilities.  Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae with full publication list, statement of research interests, at least two reference letters and a transcript, all in PDF format. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply. If you have any questions, please email: monica.menendez@nyu.edu. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.