Nanhua University

Job Title: Postdoctoral Researcher – Energy engineering and monitoring of solar panel performance in semi-arid environments Duration: 12 months, renewable Position Summary: We are seeking a docotor in energy to join our research team as a Postodoctoral researcher. The position focuses on studying the performance of photovoltaic solar panels installed on post-mining sites, in relation to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic stress. Responsibilities: Monitoring PV panels: temperature, efficiency, dust accumulation. Using environmental sensors and thermal cameras (UAV/IR). Comparative analysis of PV configurations: with vs. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local conditions. Participating in the writing of scientific and technical deliverables. Compiling, analyzing, and documenting experimental research results. Working closely with project partners. Candidate Profile: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis, thermography, and field measurements. Teamwork and collaborative problem-solving abilities. Strong written and verbal communication skills in English and French. Application Package: Cover letter Detailed CV List of publications Copies of degrees Professional references (minimum of 2)

Classification: Academic Level B/Level C Salary package: $124,638 - $166,338 per annum plus 17% superannuation  Term: Continuing, Full time Position Description and Selection Criteria: PD_PEWER_Academic _B_C_Lecturer.pdf The Position: This Lecturer/Senior Lecturer (Level B/C) role spans research, teaching, and service. The successful candidate will contribute to undergraduate Psychology teaching and supervise Honours, Masters, and PhD students. Research is open to all areas of psychology, with a preference for cognitive psychology expertise. The position also involves mentoring junior staff, taking on leadership responsibilities as appropriate, and contributing to the School’s academic culture and community engagement. The School The School of Medicine and Psychology (SMP) was established in 2023 to bring together expertise from Medicine and Psychology to develop a unique educational and research environment. The focus is to produce psychologists, researchers, and medical graduates who practice compassion, conscience and professional excellence, and with a knowledge of Aboriginal and Torres Strait Islander health and culture. The school partners with a number of healthcare organisations to deliver teaching and training including but not limited to ACT Health, community practices throughout the ACT and Southeastern NSW. The College The ANU College of Science and Medicine encompasses the disciplines of: Astronomy, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. To find out more about the Science at ANU community, follow us on social media at Instagram and Facebook For further information please contact, Professor Michael Platow, E: michael.platow@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. Applications which do not address the selection criteria may not be considered for the position. Closing date: Tuesday 21 July 2026, 11:55pm (AEST)

Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time synchronization and analytics. IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems. Validation: Participate in field trials for performance and reliability testing. Expected Outcomes: Contribution to AI-enabled UAV demonstrator (TRL 6). Support in the deployment of a digital mission platform. Participation in academic or industrial publications and reports. Profile of the Research Assistant Candidate & Application Materials: Engineering degree or equivalent in Computer Science, Robotics, or Electrical Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development. Application materials: CV, cover letter, and one recommendation letter.