Design a smart system for pathogens detection using deep learning in bathing waters - Project ID SEBE0021

We invite applications for a PhD studentship with title " Design a smart system for pathogens detection using deep learning in bathing waters "
Monitoring the quality of recreational waters such as beaches and rivers is becoming a global concern to protect human health (e.g. the EU Bathing Water Directive (BWD) in Europe). In Scotland, water quality at 86 designated bathing water sites is assessed by the Scottish Environment Protection Agency (SEPA) from May to September. However, methods for detecting bacteria are challenging as samples need to be collected from several locations and transported to the laboratory within a short period of time, typically within 6 hours. Therefore, authorities responsible for these bathing waters would ideally require new tools to monitor levels of bacteria in real-time. The aim of this project is to develop a portable, easy to use, low cost system for rapid, on-site and simultaneous detection of bacteria. The system will be based on microfluidic, USB digital microscope camera and Wi-Fi technologies to detect pathogens in bathing waters. The detection process will use a continuous real-time monitoring through a deep learning algorithm. The envisioned system has the potential to be installed in situ to better and quicker inform authorities for public health decisions.

Applicants should have, at least, an Honours Degree at 2.1 or above (or equivalent) in Electronic/Optical Engineering, Computer Science, Bioinformatics or related disciplines. In addition, they should have excellent programming skills in Matlab, Python, Java and/or C++ and fundamental knowledge of image processing and bioinformatics. Qualified applicants are strongly encouraged to contact informally the supervising academic, Dr. Kerrouche ([Email Address Removed]), to discuss the application.

Academic Qualifications
A first degree (at least a 2.1) ideally in Electronic/Optical Engineering, Computer Science, bioinformatics with a good fundamental knowledge of image processing and bioinformatics.

English language requirement
IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted.
Full details of the University’s policy are available online.
https://www.napier.ac.uk/research-and-innovation/research-degrees/application-process

Essential attributes:
Experience of fundamental A
Competent in Matlab, Python, Java and/or C++
Knowledge of Biomedical Optics
Good written and oral communication skills
Strong motivation, with evidence of independent research skills relevant to the project
Good time management

Desirable attributes
Practical research expertise in an optical lab and/or clean-room environment

For informal enquiries about this PhD project, please contact Dr Abdelfateh Kerrouche: [Email Address Removed]; 0131-455-2586.