This is a Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images role with Monash University based in Melbourne, VIC, AU Monash University Role Seniority - graduate, junior More about the Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images role at Monash University Job No.: 691722 Location: Clayton campus Employment Type: Full-time Duration: 12 months fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A Research Fellow for a 12-month, research-only appointment. A Level A Research Fellow is expected to contribute to the University’s research effort while developing their own research expertise through defined projects relevant to their field. This project requires a strong background in advanced signal processing and machine learning/AI for biomedical signal analysis. The successful candidate will focus on developing algorithms to analyse optical signals extracted from video images to obtain vital signs with high accuracy. Key responsibilities include: Robust feature extraction from biomedical signals Development and training of AI/machine learning models Real-time validation of algorithms to ensure reliable physiological monitoring under real-world conditions The role offers the opportunity to contribute to cutting-edge research in biomedical engineering and physiological monitoring, working within a dynamic and collaborative research environment. About Monash University At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen. We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy. In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026. Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash. Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents. To Apply Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia. For instructions on how to apply, please refer to 'How to apply for Monash Jobs'.Your application should include: A cover letter not exceeding two pages, addressing your experience in the Key Selection Criteria listed in the position description A resume Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Mehmet Yuce, Electrical and Computer Systems Engineering Position Description: Research Fellow Applications Close: Monday 13 April 2026, 11:55pm AEDT Supporting a diverse workforce For instructions on how to apply, click on the "Apply" button above for the full position description and instructions on how to apply for Monash jobs. Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Monash University team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Extracting features from biomedical signals Developing AI models ✅ Validating algorithms Key Strengths Advanced signal processing Machine learning/AI ⏱️ Real-time algorithm validation A Final Note: This is a role with Monash University not with Hatch.
