Research Assistant in AI for Respiratory Disease Detection
Develop AI-driven cough sound analysis tools for respiratory disease detection in rural Tanzania.
Best for:Best for early-career researchers with expertise in machine learning, AI, or biomedical data science seeking hands-on experience in developing health-tech solutions for underserved regions.
Overview
This position offers an opportunity for an early-career researcher to contribute to the KIKOHOZI project, focusing on creating and testing an AI-based cough sound analysis tool for detecting respiratory diseases. The role involves developing a classifier for primary care use in semi-urban and rural Tanzania, collaborating with an international research team based in the UK and Tanzania, and evaluating the tool’s feasibility. The successful candidate will engage in cutting-edge biomedical AI research, publish academic outputs, and work closely with project partners to ensure real-world applicability. The position is ideal for those passionate about leveraging technology to address global health challenges.
What you'll do
- Develop and test an AI-based cough sound analysis tool (Kikohozi classifier) for detecting respiratory diseases in primary care settings.
- Collaborate with an international research team to evaluate the feasibility of the tool in semi-urban and rural Tanzania.
- Analyze and manage large biomedical datasets to train and refine the AI model.
- Publish academic outputs, including research papers and conference presentations, based on project findings.
- Attend regular project meetings and report progress to stakeholders and partner groups.
- Contribute to the design and implementation of health-tech solutions for underserved regions.
Requirements
Degree required: Master's degree or PhD in computer science, machine learning, artificial intelligence, data science, engineering, or a closely related discipline. Equivalent research experience may be considered.
Language: English; proficiency required for academic collaboration and reporting.
Instruction: English
Publications: Ability to publish academic outputs (e.g., research papers, conference presentations).
- Proficient programming skills in multiple languages and environments (e.g., Python, R, Java, etc.).
- Experience with machine learning and AI, particularly in biomedical settings.
- Strong analytical and problem-solving abilities for managing and interpreting datasets.
- Ability to work collaboratively in an international research team.
- Experience with data analysis and publication of academic outputs.
- No specific nationality or residency restrictions mentioned.
- Open to candidates with equivalent research experience if formal degree requirements are not met.
Funding & terms
How to apply
Deadline: 2026-10-18 (Europe/London)
Applicants must apply through the University of Warwick’s official job portal. The application process will require submitting a CV and cover letter. Full details on duties and selection criteria are available in the vacancy advert linked on the University of Warwick’s jobs page.
- CV
- Cover letter
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