Postdoctoral Research Fellow in Applied AI Forestry 2026 at James Cook University

James Cook University

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Vacancy

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Description

James Cook University (JCU), through its Department of Engineering and the Centre for AI and Data Science Innovation, is currently seeking applications for a Postdoctoral Research Fellow or Research Fellow. This role is based in the tropical city of Cairns, Queensland, providing a unique opportunity to work in a vibrant and research-intensive environment that combines cutting-edge technology with ecological and environmental applications. The successful candidate will join a dynamic team focused on Applied Artificial Intelligence for Forestry Weed Detection and Mapping, a project with both scientific and practical significance. This position is ideal for researchers who are passionate about using AI and data science to solve real-world environmental problems. The role involves developing innovative machine learning models, analyzing large-scale datasets, and contributing to the creation of tools that can assist forestry managers and environmental agencies in accurately detecting and mapping invasive weeds. By working closely with both academic and industry partners, the fellow will gain valuable experience in translational research, ensuring that their findings have immediate, practical impact. The position also offers a collaborative and multidisciplinary research environment, where the fellow will work alongside experts in AI, remote sensing, geospatial analysis, and forestry management. This is an excellent opportunity for those looking to enhance their research portfolio, contribute to high-impact publications, and develop skills that bridge academic research with applied industry solutions. Additionally, living in Cairns provides a unique lifestyle experience, with access to tropical ecosystems, the Great Barrier Reef, and a thriving scientific community dedicated to environmental innovation and sustainable development. This role is particularly suited to individuals who are motivated by applied research, enjoy collaborative problem-solving, and are eager to make tangible contributions to both scientific knowledge and environmental management practices. 

Responsibilities

Research Focus

The primary objective of this fellowship is to develop and deploy Applied AI solutions for the environmental and forestry sectors. Key research activities will include:

1. Weed Detection: Develop and implement advanced computer vision and machine learning algorithms to accurately identify invasive weed species in diverse and complex forestry environments.
2. Mapping & Monitoring: Utilize AI and geospatial technologies to generate precise maps that support land management, ecological monitoring, and conservation efforts.
3. Applied Solutions: Translate theoretical AI models into practical, deployable tools and workflows that forestry managers and industry partners can use directly in the field.
4. Data Analysis: Process, clean, and analyze large-scale datasets derived from remote sensing, UAV imagery, or field-based sensors to support model training and validation.
5. Integration with Industry: Collaborate closely with industry and governmental stakeholders to ensure AI solutions meet real-world operational needs and contribute to sustainable forestry management.
6. Research Documentation & Dissemination: Contribute to high-quality publications, technical reports, and presentations to communicate findings to both academic and applied audiences.
7. Cross-disciplinary Collaboration: Work alongside experts in AI, remote sensing, environmental science, and forestry to ensure a multidisciplinary approach to problem-solving. 

Value and Benefits

This fellowship provides an exciting platform for career advancement in the growing field of Agri-Tech and Environmental AI:

• Impactful Research: Engage in high-impact, applied AI research focused on solving real-world challenges in forestry management and ecological monitoring.
• Collaborative Environment: Join a multidisciplinary team of experts in AI, environmental science, and forestry, working closely with senior academics and industry partners to ensure practical relevance.
• Tropical Lifestyle: Be based in Cairns, offering a unique work-life balance with proximity to the Great Barrier Reef, Daintree Rainforest, and other natural wonders.
• Competitive Salary & Benefits: Receive a formal Research Fellow salary with comprehensive benefits including superannuation, paid leave, and access to JCU’s academic resources and support.
• Career Development: Gain opportunities for professional growth, skill enhancement, and networking within both academic and industry sectors in Agri-Tech and Environmental AI.
• Publication & Dissemination Opportunities: Contribute to high-quality research publications, technical reports, and presentations, enhancing visibility and impact in the scientific community. 

Also check: 

Funded PhD Studentship on Thermoacoustic Instability in Hydrogen-Rich Combustors 

Qualification

Eligibility Criteria

To be competitive for this research fellowship, applicants should possess: 

1. Academic Qualification: Applicants should hold a PhD, or be close to completing a PhD, in Computer Science, Artificial Intelligence, Engineering, Data Science, or a closely related discipline. Candidates nearing completion must be able to demonstrate a clear timeline for submission and conferral of the degree.
2. Core AI and Machine Learning Expertise: A strong theoretical and practical foundation in Artificial Intelligence and Machine Learning is essential. This includes experience with modern ML techniques, model development, training, evaluation, and optimization for real-world datasets.
3. Computer Vision Experience (Highly Desirable): Demonstrated experience in Computer Vision is strongly preferred, particularly in areas such as object detection, image classification, segmentation, or spatial mapping. Familiarity with vision-based models applied to imagery from drones, satellites, or field sensors will be a significant advantage.
4. Applied Research Background: Candidates should show evidence of applying technical skills to real-world or industry-driven problems. Prior work in environmental monitoring, agriculture, forestry, remote sensing, or applied AI projects will strengthen an application.
5. Research Output and Impact: Applicants are expected to have a solid research track record, evidenced by peer-reviewed publications, technical reports, patents, or substantial industry or government research projects. The ability to translate research outcomes into practical tools or solutions is highly valued.
6. Technical and Analytical Skills: Strong programming skills (e.g., Python, TensorFlow, PyTorch, or similar frameworks) and experience handling large datasets are expected, along with the ability to work independently and as part of a multidisciplinary research team.
7. Professional Readiness: Excellent communication skills, a collaborative mindset, and the ability to engage with both academic and industry stakeholders are important for success in this applied research role. 

Application Procedure

Applications must be submitted through the official James Cook University careers portal. 

• Access the Official Vacancy Listing: Begin by visiting the James Cook University careers portal and locating the advertised Postdoctoral Research Fellow / Research Fellow position. Carefully review the full position description, role expectations, and mandatory selection criteria to ensure alignment with your expertise and career goals.
• Review Selection Criteria in Detail: Pay close attention to the essential and desirable criteria outlined in the job description. JCU places strong emphasis on clearly demonstrated skills, applied research experience, and alignment with the project’s objectives in applied AI and environmental research.
• Prepare Required Documentation: Compile a current and comprehensive academic CV detailing your qualifications, research experience, publications, technical skills, and relevant industry engagement. Prepare a tailored cover letter that clearly explains your suitability for the role and motivation for joining JCU.
• Address the Selection Criteria: Draft a structured response to the selection criteria, providing concrete examples from your academic, research, or industry experience. This section is critical and should clearly demonstrate how your background meets each requirement.
• Submit the Online Application: Complete the application process through the official JCU online portal, ensuring all documents are uploaded correctly and all required fields are completed before the stated closing date.
• Final Review Before Submission: Before submitting, double-check that your application is complete, well-organized, and clearly written. Incomplete or poorly addressed applications may not be considered.
• Important Note: This is a formally advertised academic position and is particularly suitable for candidates seeking to bridge academic research with real-world, industry-focused applications in environmental and forestry AI. 

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