Postdoc at Oxford: machine learning & global health

The International Society for Bayesian Analysis; Oxford; On-site; GBP 30,000 - 45,000; Full time

Job summary

The International Society for Bayesian Analysis is seeking a postdoctoral researcher in Oxford to contribute to machine learning applications in global health. This role involves leading research, collaborating with international organizations, and applying computational statistics to influence public policy effectively.

Qualifications

• PhD in relevant area with experience in machine learning.
• Strong background in computational statistics.
• Ability to collaborate with governments and NGOs.

Responsibilities

• Lead research projects in computational statistics and machine learning.
• Collaborate with various organizations to implement public policy solutions.
• Contribute to high-impact research outputs in global health.

Skills

Machine Learning

Computational Statistics

Collaboration

Education

PhD in Computer Science or related field

Job description

Postdoc at Oxford: Machine Learning & Global Health

Date: Jan 11, 2023

We are hiring a postdoctoral researcher to join my group in the Department of Computer Science at Oxford, working with the Machine Learning & Global Health network on machine learning applications for public policy and global health. This position is funded by EPSRC. For more details, see this link.

The role involves leading research in computational statistics and machine learning, with the goal of making a tangible impact by collaborating with governments, NGOs, and international organizations. Recent publications from the group include:

[List of publications or specify if unavailable]

If you have any questions, please contact me directly or reach out to members of the Machine Learning & Global Health Network.