10 gis-python PhD positions in Australia

Fully funded PhD position in AI-Driven Optimisation for Electrified Transport Fleets

UNSW Sydney | Sydney, New South Wales | Australia | 12 days ago

/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power

Quantum-AI for Food Security and Student Wellbeing: Enhancing Hydroponic Resilience and Therapeutic Learning in Food Ladder’s Urban Ecosystems

University of Southern Queensland | Darling Heights, Queensland | Australia | about 3 hours ago

. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and

Intelligent edge computing for adaptive demand response management: a distributed multi-agent approach (CSIRO Industry PhD Scholarship)

Queensland University of Technology | Brisbane, Queensland | Australia | 2 days ago

of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply

PhD Scholarship: Improving cropping decisions with AI-enhanced weather forecasts

University of Southern Queensland | Darling Heights, Queensland | Australia | about 3 hours ago

, AquaCrop) or experience with agricultural or environmental modelling. Some experience with programming in R and/or Python. Exposure to climate or weather data, forecasting systems, or geospatial tools

2024 HDR Scholarship - CSIRO Industry PhD (iPhD) scholarship - Improving large infrastructure risk management using next generation InSAR validated with innovative GNSS sensor systems

Curtin University | Perth, Western Australia | Australia | about 11 hours ago

Matlab, Python or similar. The position is located at Curtin University in Perth, WA Application process Please contact us via the EOI form with the following Curriculum vitae Academic transcripts A brief

La Trobe Industry Research Scholarship (LTIRS) - Autonomous AI Agents for Adaptive Quantitative Trading in Dynamic Financial Mark

La Trobe University | Melbourne, Victoria | Australia | about 2 hours ago

the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in

National Industry PhD Program Scholarship: Run-Time Monitoring of Machine Learning for Robotic and Autonomous Perception

University of Adelaide | Adelaide, South Australia | Australia | about 1 month ago

knowledge of machine learning as well as a basic understanding of robotic perception systems. Essential skills include proficiency in programming languages such as Python and C++, and some experience with

HDR Scholarship: AI for Early Detection of Neurodegenerative Disorder in Elderly: An Exploratory Study

University of Southern Queensland | Darling Heights, Queensland | Australia | 21 days ago

external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning

AI-driven markerless motion capture system for enhancing human motor function screening and assessment (CSIRO Industry PhD Program (iPhD))

University of Southern Queensland | Darling Heights, Queensland | Australia | 3 months ago

algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have

2023 HDR Scholarship - Centre for Optimisation and Decision Science HDR Scholarship

Curtin University | Perth, Western Australia | Australia | about 1 month ago

developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas