Postdoctoral Research Associate

The Signal Processing Engineer will be placed within the Research Centre for Biomedical Engineering at the Department of Engineering, School of Science and Technology.

The Research Centre for Biomedical Engineering (RCBE) offers world-class research in state-of-the-art laboratories where engineers, scientists and healthcare experts work together to develop new medical technologies to solve some of the most urgent and challenging problems in healthcare.

Background

The post holder should hold relevant PhD in Signal Processing, Software Engineering, Electronics Engineering, Biomedical Engineering or a related field.

In this role, the selected candidate will be responsible for designing, developing, and optimising algorithms for processing and analysing signals in real-time applications. Responsibilities include working with digital signal processing, advanced filtering techniques, dynamic feature extraction, time-domain and frequency-domain analysis, signal fusion and machine learning to enhance Crainio system performance. The ideal candidate has expertise in Python and biomedical signal processing, more specifically optical signals like Near-infrared Spectroscopy and Photoplethysmography. Strong problem-solving skills and the ability to collaborate with cross-functional teams are essential.

Responsibilities

The main responsibilities of the role are as follows:

• Develop and optimize algorithms for processing NIRS and PPG signals to extract vital physiological information such as heart rate, pulse rate variability, respiration rate, changes in vessel compliance, blood flow, and cerebral oxygenation levels, among others.
• Implement signal-quality analysis to ensure the reliability of PPG measurements in various monitoring scenarios.
• Collaborate with cross-functional teams to integrate signal processing solutions into Crainio hardware for better signal quality.
• Analyse and interpret PPG data to assess changes in intracranial pressure and cerebral autoregulation.
• Stay updated with the latest advancements in PPG research and signal processing techniques.
• Documentation and Reporting:
  • Maintain comprehensive records of design, development, and testing activities.
  • Prepare regular progress reports and document all findings for review and analysis.
• Team Collaboration:
  • Collaborate closely with multidisciplinary teams, including biomedical engineers, data scientists, and clinicians, to ensure the successful integration and deployment of the algorithms.

Person Specification

Qualifications and Knowledge

• Postgraduate Degree in Software Engineering, Biomedical Engineering or a related field
• A good understanding of biomedical signal processing
• Proficiency in Python coding
• Knowledge of statistics and physiological signal analysis
• Good understanding of photoplethysmography and Near-infrared spectroscopy

Experience

• Proven experience in algorithm development to do physiological signal processing
• Experience in advanced computational techniques to assess and enhance signal quality
• Experience in machine learning techniques

Skills and Abilities

• Proficiency in Phyton coding
• Demonstrate the ability to meet deadlines and work under tight time scales.
• Show excellent verbal and written English communication skills including presentation and report-writing.
• Ability to work independently while contributing positively to a team's efforts when working collectively.

Additional Information

Closing date: 3rd August 2025 at 11:59pm.

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background.

City St George's operates a guaranteed interview scheme for disabled applicants.

Advert information