Postdoctoral Positions in AI Monitoring and Diagnostics: Join an interdisciplinary research team focused on developing cutting-edge computational tools for monitoring, diagnosing, and updating machine learning (ML) and artificial intelligence (AI) algorithms in clinical settings. This initiative aims to deploy these tools in various hospital systems, offering the opportunity to contribute to impactful healthcare solutions.
Postdoctoral Researcher Positions in AI Monitoring and Diagnostics
Designation:
Postdoctoral Fellow in AI Monitoring
Research Area:
- AI Tools Monitoring and Diagnostics
- Medical Device Impact Evaluation
- Statistical and Computational Methods in Healthcare
Location:
University of California, San Francisco (UCSF)
Eligibility/Qualification:
- PhD in Statistics, Biostatistics, Computer Science, Data Science, or a related field.
- Strong experience in methodological development and independent research, demonstrated by a strong publication record.
- Proficiency in handling large-scale, multi-modal datasets.
- Preferred expertise in:
- Causal Inference
- Sequential Monitoring
- Change Point Detection
- Natural Language Processing (NLP)
- Federated Learning
- Longitudinal Data Analysis
Job Description:
- Primary Responsibilities:
- Develop tools for monitoring AI-enabled medical devices with rigorous statistical guarantees.
- Extract, process, and analyze multi-modal Electronic Health Record (EHR) data.
- Design and implement open-source software packages and federated data pipelines.
- Collaborate closely with an interdisciplinary team.
- Prepare and submit research manuscripts to ML/AI conferences and relevant journals.
- Role in Developing Clinical AI Monitoring Systems:
- Create tools for monitoring, diagnosing, and updating ML/AI systems in clinical settings with statistical rigor.
- Design scalable software libraries and data pipelines.
- Work with deployment teams to ensure tools are practical for real-world applications.
- Write research manuscripts and technical reports.
How to Apply:
Interested candidates should submit the following materials via email to jean.feng@ucsf.edu:
- A cover letter
- A CV summarizing education and work experience
- Contact details of three references
- A GitHub repository showcasing a notable project
- One representative publication
Last Date to Apply:
Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Please apply as soon as possible.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
