Research Fellow – Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Full-time

Research Fellow – Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images

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.

Monash University values difference and diversity, and welcomes and celebrates 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.

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, your application should include: a cover letter not exceeding two pages, addressing your experience in the Key Selection Criteria listed in the position description and 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