Lecturer in Signal Processing
Combine cutting-edge biomedical signal processing research with innovative teaching in a dynamic STEM environment.
Best for:Best for emerging academics with a PhD in biomedical engineering, signal processing, or a related field, seeking to advance their teaching and research careers in an applied, industry-connected university environment.
Overview
RMIT University’s School of Engineering seeks a Lecturer in Signal Processing to lead teaching and research in biomedical signal processing and machine learning. This full-time, permanent position offers the opportunity to develop curriculum for undergraduate, master’s, and graduate diploma programs, supervise higher-degree research students, and collaborate with industry and academic partners. The role emphasizes inclusive teaching practices, interdisciplinary research, and fostering industry connections. Ideal candidates will balance academic excellence with real-world impact, contributing to RMIT’s mission of applied, industry-aligned education and research.
What you'll do
- Teach and develop contemporary curriculum for undergraduate, master’s, and graduate diploma programs in biomedical signal processing and related fields, including online and blended delivery.
- Design and deliver high-quality, inclusive learning materials and programs, incorporating technology-enhanced teaching methods.
- Coordinate courses and contribute to program development within the School of Engineering.
- Supervise higher-degree research candidates and mentor students in biomedical engineering and related disciplines.
- Collaborate with academic and industry partners to strengthen research initiatives and secure external funding.
- Build and maintain partnerships with industry, government, and professional communities to enhance real-world impact.
- Engage in interdisciplinary research that contributes to RMIT’s focus areas in health innovation, digital technologies, and engineering.
- Promote inclusive practices and support student success through effective communication and collaboration.
Requirements
Degree required: PhD or equivalent in biomedical engineering, signal processing, electrical engineering, computer science, or a related field.
Language: English proficiency at a level suitable for academic teaching and research (no specific test mentioned).
Instruction: English
Publications: Emerging track record of quality research outputs, evidenced by publications, competitive research funding, and industry links.
- Demonstrated expertise in biomedical signal processing and machine learning, with a track record of research outputs (publications, funding, industry links).
- Proven ability to design, prepare, and deliver undergraduate and postgraduate-level programs, including online and blended formats.
- Experience in curriculum development and technology-enhanced learning approaches.
- Capacity to supervise higher-degree research candidates and mentor students effectively.
- Strong interpersonal and communication skills for interacting with students, staff, and industry partners.
- Experience in building industry and government networks to secure alternative funding projects.
- Passing a Working with Children Check and National Police Check (mandatory for appointment).
- No explicit nationality or residency restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-10-29
Submit a CV and covering letter addressing the Key Selection Criteria via the application portal. Ensure your application highlights your qualifications, teaching experience, research achievements, and alignment with RMIT’s values and goals.
- CV
- Covering letter addressing Key Selection Criteria
Contact
Kate Fox· Professor
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