- Position: PhD Scholarship in Application of Artificial Intelligence to Identify Predictors of Health
- University: London Metropolitan University
- Supervisors: Dr. Elaheh HomayounVala and Professor John Lodge
- Topic: Application of Artificial Intelligence to identify predictors of health (cardiometabolic) from complex diet and lifestyle data
- Funding: Fully funded Postgraduate Scholarship
- Duration: Up to four years of full-time support
- Responsibilities:
- Conduct research on the application of Artificial Intelligence in health data analysis
- Collaborate with Professor John Lodge and team members to develop innovative approaches
- Analyze complex diet and lifestyle data to identify predictors of health conditions
- Contribute to the advancement of knowledge in health research
- Requirements:
- Master's degree in a relevant field (e.g., Computer Science, Data Science, Health Sciences)
- Strong background in Artificial Intelligence, Machine Learning, and Data Analysis
- Proficiency in programming languages such as Python and relevant libraries/frameworks
- Excellent analytical and problem-solving skills
- Ability to work independently and as part of a multidisciplinary team
- Good communication and interpersonal skills
- Benefits:
- Fully funded Postgraduate Scholarship
- Opportunity to work alongside renowned experts in the field
- Access to state-of-the-art facilities and resources
- Development of valuable research and analytical skills
- Contribution to cutting-edge research in health prediction and prevention
- Application Deadline: Friday, June 9, 2023
- Contact: Dr. Elaheh HomayounVala (e.homayounvala@londonmet.ac.uk)
- University commitment: London Metropolitan University is committed to diversity and inclusion, encouraging applications from individuals of all backgrounds and experiences.
See the more details in this link.
