Postdoc: AI for Climate-Health Adaptation & Data Science

Harvard University; United States; On-site; USD 67,500 - 82,500; Full time

Job summary

Harvard University seeks a Postdoctoral Research Fellow focusing on developing AI methods for healthy climate adaptation in the National Studies on Air Pollution and Health group. The role involves designing deep learning models for large-scale health data and requires a PhD in related fields. The ideal candidate should have strong programming skills, experience with machine learning, and a collaborative spirit. Salary for the position is around $75,000, and applications must include a cover letter and CV.

Qualifications

• Demonstrated expertise in modern machine learning.
• Expertise in deep learning models like transformers.
• Experience with large datasets.

Responsibilities

• Design and evaluate deep learning models for spatiotemporal data.
• Lead and contribute to manuscripts for high-impact journals.
• Collaborate with an interdisciplinary team.

Skills

Deep learning

Spatiotemporal modeling

Programming in Python

Statistical modeling and inference

Education

PhD in Computer Science, Statistics, Applied Mathematics, or Data Science

Tools

PyTorch

Cloud computing environments

Job description

Harvard University seeks a Postdoctoral Research Fellow focusing on developing AI methods for healthy climate adaptation in the National Studies on Air Pollution and Health group. The role involves designing deep learning models for large-scale health data and requires a PhD in related fields. The ideal candidate should have strong programming skills, experience with machine learning, and a collaborative spirit. Salary for the position is around $75,000, and applications must include a cover letter and CV.