Description:
generation of a clear graphical user interface for software to measure perfusion. This software will then be optimised for cloud usage.
This project is a component of the Wellcome Leap In Utero program (Measurement and Modelling During Gestational Development) research co-ordinated through the Perinatal Imaging Research Group of the School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney. This substantial internationally funded research project ($US50M) spans research from the Faculties of Engineering and Medicine & Health, with performer groups recruited globally. It has the aim of applying novel technological innovation to reduce the incidence of stillbirth by 50% and holds international collaboration as a key component. You will have the opportunity to contribute towards the research effort of UNSW and develop their research expertise through pursuit of this project.
- A PhD in a relevant discipline (e.g. Computer Science or Mechatronics Engineering), and/or relevant work experience.
- Commitment to translational research and the application of Biomedical Engineering techniques to image analysis for clinical application.
- Demonstrated experience (minimum 3 years) working as a Biomedical Engineer or Software Developer working in the field of medical image analysis ideally with experience working alongside either a fetal or neonatal research team.
- Demonstrated IT and technical skills in relevant programming languages such as C++, Python and MATLAB and statistical analysis programs such as SPSS.
- Experience in coding for cloud-based technology.
- Deep understanding and demonstration of development of image analysis applications involving segmentation and visualisation with experience of using machine learning techniques applied to image analysis.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
- Demonstrated track record of publications and conference presentations relative to opportunity.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Evidence of highly developed interpersonal skills.
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- Excellent written and verbal communication skills and proven ability to work both independently and constructively in a multi-disciplinary team.
- Experience searching medical literature, devising novel research questions and initiating independent original research projects.