The closing date for this job has passed; return to the main list for other jobs

Postdocs in machine learning, pandemic preparedness, & socioepidemic misinformation

The Majumder Lab at Harvard Medical School & Boston Children's Hospital is currently recruiting two postdoctoral fellows at the intersection of machine learning, pandemic preparedness, and socioepidemic misinformation. All applicants will be considered for ongoing projects that apply machine learning to pandemic preparedness and/or socioepidemic misinformation. Successful applicants will also be welcome to propose their own projects under these broad application areas.

Our team specializes in the use of search query, mobile phone, and news+social media data within these application areas. Methods of interest include agent-based and phenomenological models of epidemics, natural language processing of misinformation, and causal inference for health policy evaluation. However, previous experience with these data types and methodological approaches is not required, especially if quantitative and programming skills are strong.

Key Qualifications and Required Skills:
• Doctoral degree in a relevant field
• Programming proficiency in Python or R
• Published scientific articles in peer-reviewed outlets
• Strong communication skills
• Commitment to a fair and just work environment

Optional Skills:
• Prior experience conducting research on epidemics and/or misinformation
• Prior experience with Bayesian inference
• Prior experience with sentiment analysis, emotion analysis, and/or large language models

How to Apply:
• Review the Majumder Lab website:
• Apply via Airtable:
Applications will be evaluated on a rolling basis until all available positions are filled.

PS: Not sure if you're quite the right fit? Please apply anyway; the Majumder Lab aims to foster promising scholars of all backgrounds and identities.

Harvard Medical School & Boston Children's Hospital
Closing date
April 17th, 2024
Posted on
January 17th, 2024 21:32
Last updated
January 17th, 2024 21:32