Wartburg College

Classification: ANU Officer 8 (Specialist) Salary package: $121,359 - $129,772 per annum plus 17% superannuation Terms: Full-time, Continuing (contingent funded) Position Description and Selection Criteria: PD & PEWER ANU O8 Software Engineering Specialist_AITC.pdf This position is continuing (contingent funded). The funding that supports this project has an expected end date of December 2030. The Position The Software Engineering Specialist will design, develop and maintain software systems for astronomical data acquisition, instrument control, and telemetry. They will work within project teams across the AITC, using their programming and problem-solving skills to deliver high-quality, robust, and well-documented code. They will have an initial focus on projects related to next-generation optical telescopes such as the Giant Magellan Telescope (GMT). The Person To excel in this role, you will have: Progress towards postgraduate qualifications in software engineering, computer science, astronomy & astrophysics, or related disciplines, OR a relevant undergraduate degree with a minimum of four years’ relevant experience in scientific and/or aerospace software development; Experience with at least one of Python, C, or C++, and with embedded systems and Unix environments; A track record of applying best-practice software development methodologies, including version control, robust testing, and detailed documentation; The ability to work across multi-disciplinary teams, and to manage workloads across multiple projects with minimal supervision; and, Experience in astronomical instrumentation, astronomical software, and/or spaceflight hardware/software would be favourably regarded. The Area The Advanced Instrumentation and Technology Centre (AITC) is national facility in Canberra and part of the Research School of Astronomy and Astrophysics (RSAA). The Centre was established to support the development of the next generation of instruments for astronomy and space science. Our staff have built specialised astronomical instruments for some of the world’s largest optical telescopes; we are currently designing and building instruments to be mounted on the next generation of extremely large telescopes. The School The ANU Research School of Astronomy and Astrophysics (RSAA) operates Australia’s national optical observatory and has access to the world’s largest optical telescopes. We are based at the historic Mount Stromlo Observatory on the outskirts of Canberra. Our staff and students have made major contributions to astronomy; our astronomers include winners of the Prime Minister’s Prize for Science and the Nobel Prize. For further information please contact, Dr Marc White, Acting Lead Software Engineering Specialist, T: +61 2 6125 0261, E: marc.white@anu.edu.au  The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au  ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities.  For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. The committee will consider candidates who do not meet one or more aspects of the selection criteria. Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Sunday, 1 February 2026, 11.55PM (AEDT)

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

Description The Water Research Center at New York University Abu Dhabi seeks to recruit a postdoctoral associate to work on the development of responsive membranes with in situ switchable properties, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering and professor Raed Hashaikeh, Professor of Mechanical Engineering. The successful applicant will lead an innovative project focused on the development of surface-patterned membranes with tailored surface features designed to enhance the performance of microfiltration (MF), ultrafiltration (UF), membrane distillation (MD), and nanofiltration (NF) processes. The role involves advanced membrane fabrication techniques and a range of membrane characterization methods, such as SEM, EDS, TGA, contact angle measurement, CFP, BET, FT-IR, Raman spectroscopy, among others. Lab-scale testing will be performed to establish critical relationships between fabrication methods, structure, properties, and membrane performance, with the goal of improving desalination and water treatment applications. The successful applicant will oversee projects, develop extensive technical expertise, and implement innovative solutions. He/she will contribute to the development of novel concepts and proposal writing, while efficiently addressing complex challenges. Responsibilities will include writing reports, authoring publications, drafting patents, and presenting results at conferences. The ideal candidate will possess demonstrated knowledge of membrane fabrication, surface patterning, membrane characterization, and separation processes. Strong attention to detail, excellent organizational skills, and exceptional verbal and written communication abilities are essential. The candidate should be capable of working both independently and collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant to the project (in particular membrane fabrication and surface patterning as well as membrane characterization) are required. Candidates with a demonstrated history of peer-reviewed publications in a related area, along with prior expertise in materials science and analytical chemistry will be preferred. This position will begin in March 2026, as a two-year contract, renewable depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children. 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, a one-page summary of research accomplishments and interests, and at least 2 references, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: nhh2@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.