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Research Fellowship in Medical Imaging and Radiotherapy (including AI) - Job Opportunity at RMIT University

Melbourne, Australia
Full-time
Mid-level
Posted: July 14, 2025
On-site
AUD 115,303 - 136,925 per year

Benefits

Competitive academic salary with automatic progression through Academic Level B scale providing financial security and career advancement
Comprehensive 17% superannuation contribution significantly exceeding Australia's standard 11% rate, enhancing long-term retirement planning
Three-year fixed-term contract providing extended job security and opportunity for substantial research contribution
Access to RMIT's extensive research infrastructure and facilities across multiple campuses
Professional development opportunities through conference presentations and networking with industry partners
Collaborative research environment within Australia's leading STEM college supporting career growth
Working with Children and National Police Check processing support ensuring compliance assistance

Key Responsibilities

Lead groundbreaking research in NHMRC Development grant-funded project directly impacting cancer and cardiac disease patient outcomes through advanced radiation therapy techniques
Develop and implement cutting-edge real-time target tracking algorithms that will revolutionize radiotherapy precision and patient safety standards
Design innovative dynamic imaging systems addressing critical patient motion challenges during medical imaging and radiation therapy treatments
Drive deep learning and AI algorithm development specifically tailored for clinical radiation therapy applications, positioning the research at the forefront of medical technology
Implement sophisticated deep learning solutions on clinical hardware systems, bridging the gap between theoretical research and practical medical applications
Establish and maintain strategic partnerships with industry and hospital stakeholders, expanding research impact and translation opportunities
Contribute to high-impact publications in premier journals and present findings at internationally recognized conferences, elevating institutional research profile
Mentor higher degree research candidates while fostering a collaborative, multidisciplinary research culture that drives innovation

Requirements

Education

PhD in a relevant field (e.g., Medical Physics, Radiation Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc)

Experience

Postdoctoral level with emerging track record publishing in high quality journals and presenting at high quality conferences

Required Skills

Deep learning and AI development Real-time target tracking algorithms Dynamic imaging systems development Clinical hardware implementation Grant writing Effective networking and liaison capabilities Excellent interpersonal and communications skills Teamwork and multidisciplinary collaboration Publishing in high quality journals Conference presentation skills

Certifications

Working with Children Check National Police Check
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Sauge AI Market Intelligence

Industry Trends

The integration of artificial intelligence in medical imaging and radiotherapy represents one of the fastest-growing sectors in healthcare technology, with the global AI in medical imaging market expected to reach $45 billion by 2028. Real-time target tracking and dynamic imaging are becoming critical capabilities as precision medicine demands increasingly accurate treatment delivery systems. There is a significant shift toward personalized cancer treatment protocols that require sophisticated imaging and tracking systems to account for patient-specific anatomical variations and physiological motion, creating substantial demand for researchers who can bridge AI technology with clinical applications. The convergence of deep learning with clinical hardware implementation is creating new career pathways for researchers who can translate theoretical algorithms into practical medical solutions, with healthcare institutions increasingly seeking professionals who understand both technical development and clinical workflow integration.

Salary Evaluation

The AUD 115,303 - 136,925 range is competitive for Australian postdoctoral positions, sitting above the typical AUD 80,000-110,000 range for standard postdocs. This reflects the specialized nature of AI and medical imaging research, with the salary positioning this role in the upper tier of academic research positions.

Role Significance

The role likely involves leading a small research team of 2-4 people including PhD students and research assistants, while collaborating within a larger multidisciplinary group of 8-12 researchers across medical physics, computer science, and clinical partnerships.
This mid-level research position represents a crucial career bridge between PhD completion and senior research leadership, offering substantial autonomy in algorithm development while providing mentorship opportunities and industry networking that are essential for academic career progression.

Key Projects

Development of real-time motion compensation algorithms for cardiac radiotherapy treatments Creation of AI-powered imaging systems for adaptive radiation therapy planning Implementation of deep learning models for automated target tracking in lung cancer treatments Design of clinical decision support systems integrating dynamic imaging with treatment planning software

Success Factors

Deep technical expertise in both AI/machine learning and medical physics principles is essential, as the role requires understanding complex physiological processes while implementing sophisticated algorithmic solutions that must meet clinical safety and efficacy standards. Strong publication and presentation track record in high-impact venues demonstrates the ability to communicate complex research findings to both technical and clinical audiences, which is crucial for career advancement in academic medical research. Industry partnership development skills are increasingly important as healthcare technology research requires close collaboration with medical device manufacturers and clinical institutions to ensure research translation into practical applications. Grant writing proficiency is critical for long-term career sustainability in academic research, particularly as funding agencies increasingly prioritize translational research that bridges basic science with clinical implementation.

Market Demand

High demand driven by the critical need for AI-enabled medical imaging solutions and the shortage of researchers with combined expertise in deep learning and clinical implementation

Important Skills

Critical Skills

Deep learning algorithm development expertise is absolutely essential as the core technical foundation for all project deliverables, requiring proficiency in neural network architectures, training methodologies, and optimization techniques specifically adapted for medical imaging applications where accuracy and reliability are paramount. Clinical hardware implementation knowledge is crucial for translating theoretical algorithms into practical medical solutions, requiring understanding of medical device regulations, real-time processing constraints, and integration with existing clinical workflows and systems. Medical imaging and radiotherapy domain knowledge provides the necessary context for developing clinically relevant solutions, requiring understanding of anatomical structures, treatment planning processes, and the physiological challenges that motion compensation algorithms must address.

Beneficial Skills

Grant writing and funding acquisition skills become increasingly important for career advancement and research sustainability, particularly as competition for medical research funding intensifies and researchers are expected to secure independent funding streams. Industry partnership development and commercialization experience provide valuable pathways for research translation and career diversification, with increasing emphasis on bridging academic research with practical medical applications through technology transfer and startup opportunities.

Unique Aspects

The dual-position structure offering both AI development and clinical implementation tracks provides unusual flexibility for researchers to choose specialization paths while maintaining collaborative opportunities across both domains.
Direct access to NHMRC Development grant funding provides substantial research resources and demonstrates institutional commitment to high-impact medical research with clear translation pathways.
The specific focus on motion compensation in medical imaging represents a high-growth niche area where technical expertise can have immediate clinical impact, providing researchers with opportunities to see their work directly improve patient outcomes.
Integration with hospital partners and clinical systems offers rare opportunities for academic researchers to work directly with clinical workflows and validate their research in real medical environments.

Career Growth

Progression to senior research roles typically occurs within 3-5 years, with industry transitions possible after 2-3 years of demonstrated clinical implementation experience

Potential Next Roles

Senior Research Fellow or Principal Research Scientist positions leading larger research programs and managing multiple projects Industry R&D leadership roles in medical device companies or healthcare technology firms Academic faculty positions with teaching responsibilities and independent research group leadership Clinical research director positions in hospital systems or medical imaging centers

Company Overview

RMIT University

RMIT University is a leading Australian institution with particularly strong reputation in applied research and industry partnerships. The STEM College represents one of Australia's largest concentrations of science and technology research, with the university's focus on practical, industry-relevant research making it an attractive destination for researchers seeking to bridge academic research with real-world applications.

RMIT ranks among Australia's top universities for engineering and technology research, with the STEM College's 1,000 staff and 20,000 students representing significant scale and resources. The university's emphasis on industry partnership and practical application provides researchers with unique opportunities for technology transfer and commercialization.
Melbourne's position as Australia's biomedical research hub, combined with RMIT's strategic location and industry connections, provides exceptional access to healthcare technology ecosystems, clinical trial networks, and medical device manufacturing partnerships that are crucial for medical imaging research translation.
The university's commitment to diversity and inclusion, evidenced by appointing Victoria's first Dean of STEM Diversity & Inclusion, creates a supportive environment for researchers from varied backgrounds, while the emphasis on industry collaboration provides practical research opportunities that enhance career prospects.
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