{
  "job_id": "krMiktz4urvFwxrAAAAAAA==",
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  "job_title": "Funded (UK home) PhD in AI tools to identify septic shock from PPG data",
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  "employer_name": "University of Nottingham School of Computer Science",
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  "job_posted_at": "10 days ago",
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  "job_description": "There are 245,000 cases of sepsis/year in the UK. It kills more than breast, bowel and prostate cancer combined. Globally there are 48.9 million cases resulting in 11 million deaths. Better methods are urgently needed to identify and guide treatment of sepsis. Our vision is to transform the way clinicians assess and manage patients with sepsis through a novel digital device with embedded AI-algorithms that continuously monitors the microcirculation non-invasively using photoplethysmography (PPG). PPG is the technique used in pulse oximeters and fitness monitoring devices. This PhD will investigate AI approaches to identify changes in the PPG signal that correspond to sepsis and septic shock states; and test the hypothesis that these signals can be used to detect early signs of sepsis. This project utilises sensor data acquired using instruments developed by our research team. Although most of the PhD will focus on the development of tools to analyse the data, students should have an interest in making measurements on human subjects.\n\nSupervisors: Lucas Fonseca (School of Computer Science), Steve Morgan (Faculty of Engineering)\n\nFor further details and to arrange an interview please contact Dr. Lucas Fonseca (School of Computer Science) in lucas.fonseca@nottingam.ac.uk\n\nMore info on the position, including entry requirements: https://jobs.nottingham.ac.uk/Vacancy.aspx?ref=SCI3058",
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  "job_posted_at_timestamp": 1773187200,
  "job_posted_at_datetime_utc": "2026-03-11T00:00:00.000Z"
}