University of Freiburg

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

At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence. In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to 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 outstanding young Singaporeans interested in pursuing an academic career at SIT. The Applied Research Fellowship aims to provide doctoral candidates who are about to complete or have recently completed their studies an opportunity to engage in advanced training and/or research at an overseas university for one year. Besides financial support, awardees will also receive academic mentorship. Upon completion of the Fellowship, awardees will be considered for Assistant Professorship. Eligibility and Selection Criteria Singapore citizen Doctoral candidates who have recently completed or are about to complete their studies in a discipline under the supported areas for START below Excellent academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area that is aligned with SIT’s supported areas A keen interest in an academic career Value of Fellowship The Fellowship provides: Monthly stipend Overseas maintenance allowance Return economy airfare Conference and fieldwork grants Overseas medical insurance Fellows will also each be assigned a SIT faculty mentor throughout their post-doctoral training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below. 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 the Panel for shortlisted applicants for the 2026 intake will commence in Mid-March to End April 2026. Awards will be finalised by July 2026. Supported Areas for START - Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security. AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, quantum computing.

Full-time, 12-month fixed term, based at the Chris O'Brien Lifehouse, Camperdown Join the NHMRC Clinical Trials Centre to lead strategic clinical trial delivery and drive excellence in clinical trial operations, influencing best practice and supporting research with a global impact Base Salary $152,045 + 17% superannuation About the opportunity The NHMRC Clinical Trials Centre (CTC) is a flagship centre of excellence in clinical trials and related research at the University of Sydney. We design and deliver trials and related research, including coordination, monitoring, data acquisition and management, and statistical analysis. Our health economics, biostatistics, systematic reviews, and biomarker teams work with trial data to inform healthcare providers about best practices. The Clinical Trials Program Manager plays a pivotal leadership role within the CTC, providing strategic, operational and managerial oversight of complex clinical trials across their directed area of responsibility. Working under broad direction from the Associate Director, Clinical Trial Operations, this role oversees the design, establishment and delivery of clinical trials, ensuring the highest standards of quality, compliance, governance and performance are maintained. With responsibility for financial oversight and resource management, the role contributes to budget development, expenditure monitoring and funding opportunities, supporting the sustainability and growth of CTC's clinical trial portfolio. Drawing on extensive clinical trial expertise, the Program Manager provides trusted advice, exercises independent judgement and contributes to the development of systems, procedures and strategic initiatives that enable the successful delivery of impactful clinical research. Your key responsibilities will be to: Provide strategic and operational leadership of clinical trial operations, including trial prioritisation, feasibility, planning, resourcing, oversight, and compliance within the directed area of responsibility. Lead, manage and develop clinical trial operations staff, including performance management, workforce planning, recruitment, capability building, and fostering a high-performing, ethical and collaborative team culture. Establish, manage and maintain strong internal and external stakeholder relationships, including investigators, collaborative trial groups, funding bodies, partners, and CTC leadership, ensuring effective governance and reporting. Ensure high-quality, compliant conduct of clinical trials by overseeing adherence to ICH-GCP, regulatory and ethical requirements, SOPs, operational guidelines, and study-specific procedures. Monitor and report on trial delivery, quality, risk, workforce and financial performance, proactively identifying issues, implementing improvements, and escalating risks as required. Contribute to organisational strategy, continuous improvement initiatives, funding opportunities and ad-hoc projects aligned with CTC priorities and corporate objectives. About you postgraduate qualification or progress towards postgraduate qualifications and relevant experience; or equivalent combination of relevant experience and/or education/training. Extensive experience in clinical trial management, with a minimum of five years' relevant experience leading clinical trial operations, project management or equivalent roles across the full trial lifecycle in Australia. Profound knowledge of ICH-GCP guidelines, regulatory and ethical approval processes, and demonstrated ability to ensure compliant, high-quality clinical trial conduct. Demonstrated leadership capability with experience supervising, mentoring, training and performance managing staff, including resolving complex HR and workforce matters. Strong financial and operational acumen, with experience in budgeting, financial oversight, workload prioritisation, and managing multiple competing priorities to achieve outcomes. Excellent interpersonal, written and verbal communication skills, with strong negotiation, conflict resolution and stakeholder engagement capability, and the ability and willingness to travel up to 10% of the time. We reward our employees with a range of benefits, which include: Opportunities for flexible work arrangements Hybrid working Great leave conditions including annual leave loading and paid parental leave for eligible staff members Wellbeing programs: discounted gym membership (Fitness Passport) Career development: online training programs, study leave and internal development opportunities. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible 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 are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by 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 LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. 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 Roshik Prasad, Recruitment Operations by email to roshik.prasad@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 Sunday 26 July 2026 11:59 PM