University of Auckland
Top university
4 weeks ago
Decoding Gastric Electrical Activity Non-Invasively: Computational Tools for Personalized Stomach Function Assessment University of Auckland in New Zealand
Degree Level
PhD
Field of study
Physiology
Funding
Full funding availableDeadline
December 31, 2026Country
New Zealand
University
University of Auckland

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Continue to applicationKeywords
About this position
This PhD project at the University of Auckland's Auckland Bioengineering Institute (ABI) focuses on developing computational tools for the non-invasive, personalized assessment of stomach function. Gastric motility disorders, such as gastroparesis and functional dyspepsia, are linked to abnormal electrical activity in the stomach, yet non-invasive identification of these abnormalities remains a significant challenge. By integrating experimental data, subject-specific anatomical modelling, and advanced computational methods, the research aims to bridge this gap and support the creation of future diagnostic tools.
The student will engage in a highly interdisciplinary environment, working at the intersection of biomedical engineering, physiology, computational modelling, and medical signal analysis. The project involves developing subject-specific models to understand how stomach activity is reflected in non-invasive body-surface recordings, and using these models to characterize electrical activity in the stomach. Access to unique experimental datasets and anatomically detailed models provides an excellent opportunity to gain experience in both fundamental and translational research.
This opportunity is ideal for motivated students interested in applying mathematics, computation, and engineering to solve clinically relevant problems. The successful candidate will contribute to innovative research with strong potential for real-world impact, while building skills in modelling, data analysis, and biomedical research. These skills can lead naturally to further postgraduate study, including a PhD.
Desired skills include a background in biomedical engineering, electrical engineering, physics, mathematics, computer science, or a related field. Interest in computational modelling, biomedical signal analysis, and medical applications of engineering is preferred. Experience with programming (preferably MATLAB or Python), data analysis, and numerical methods is advantageous. Strong quantitative and problem-solving skills, along with the ability to work both independently and in an interdisciplinary team, are also desirable.
The Auckland Bioengineering Institute is renowned for its research excellence and technical innovation in advancing medical care, human capability, and understanding of human physiology. ABI researchers work on projects ranging from artificial intelligence avatars to implantable devices and digital models of the human body. The institute’s focus on research excellence and commercialisation adds value to society and the global economy.
ABI’s research has led to the development of sensors for diagnosing stomach disease without invasive surgery, wireless implantable devices to measure brain pressure, and world-leading digital models of the human body for personalized medicine. Graduates from ABI are highly employable, with many continuing in research, joining industry leaders, or launching their own startups. The institute welcomes students from over 50 countries and diverse backgrounds in engineering, medicine, mathematics, and science.
Funding for this project is provided by Marsden Fast Start, supporting the student throughout their research. Applications are accepted year round, and interested candidates are encouraged to apply online via the FindAPhD project link. For further information, contact the Auckland Bioengineering Institute.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.