Postdoctoral Research Fellow in AI-data Analysis

Job title: Postdoctoral Research Fellow in AI-data Analysis

Company: University of Technology Sydney


Job description: The UTS (C3) provides a deeper understanding of the world’s aquatic plant and microbe ecosystems that are critical to the wellbeing of the global community. We produce new insights that address the challenges of human and ecological interactions with the climate.We conduct interdisciplinary research bridging physical, chemical, and life sciences to address climate change impacts on ecosystems. Our work generates critical knowledge and solutions to global challenges, including food and energy security, sustainability, ecological resilience, and the nexus of human and environmental health.Detailed DescriptionAbout the roleWe are recruiting for a Postdoctoral Research Fellow in AI-data Analysis to contribute to our cutting-edge project on optimising algae biomanufacturing using Industry 4.0 principles. This role is pivotal in developing AI-based neural network algorithms and integrating advanced sensors to automate and enhance algae cultivation and processing systems. The fellow will contribute to creating a robust digital twin framework and predictive analytics for real-time optimisation of biomanufacturing processes.This position offers a unique opportunity to contribute to the future of sustainable biomanufacturing, leveraging AI to push the boundaries of algae production. The successful candidate will join a dynamic research environment at the forefront of Industry 4.0 innovation.In this role you will contribute to the continued growth of research areas, proactively engage with industry professionals, and supervise undergraduate and postgraduate students.About YouYou will be a critical thinker with the ability to analyse and solve problems. You will have excellent interpersonal skills and the ability to work independently and as part of a team.We are seeking a highly skilled professional with extensive expertise in designing, training, and validating machine learning (ML) models and neural networks, with a focus on biological systems or industrial processes.The ideal candidate will have strong proficiency in programming (Python, R, MATLAB), ML/AI frameworks (TensorFlow, PyTorch), and data analysis tools (Pandas, NumPy, SciPy). They will excel in data visualization (Matplotlib, Seaborn, Tableau) and possess knowledge of biomanufacturing processes and Industry 4.0 concepts, including IoT, digital twins, and automation systems.Other requirements include

• A PhD in Artificial Intelligence, Machine Learning, Bioprocess Engineering, Systems Biology, or a related field

• Proven experience developing and implementing machine learning or neural network models, preferably in biomanufacturing or biological systems

• Strong research publication track record

• Ability to secure competitive research grants

For the full list of selection criteria, please download the attached Position Statement
Remuneration/SalaryBase Salary Range: $121,566 to $143,880 pa (Level B)This role attracts 17% superannuation (pension) in addition to the base salary.The position is full-time and will be made on a 2-year fixed term basis.UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.

Expected salary:

Location: Australia

Job date: Sun, 26 Jan 2025 05:25:14 GMT

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