Postdoctoral AI for Pandemic Analytics

University of Oxford; Oxford; On-site; GBP 39,000 - 48,000; Full time

Job summary

The University of Oxford invites applications for a fixed-term Research role within the PANDAI programme, an Horizon Europe-funded initiative advancing AI for pandemic preparedness.

You will develop and evaluate novel ML methods on large multimodal datasets, publish findings, and collaborate with international partners while contributing to policy-relevant tools.

The role requires a PhD in a quantitative field, strong Python skills, and a track record of independent research.

Qualifications

• PhD/DPhil in a quantitative field; strong research track record.
• Strong Python programming skills and experience with ML frameworks.
• Experience with large-scale real-world datasets and publications or conference presentations.

Responsibilities

• Develop and evaluate novel AI/ML methods using large multimodal datasets.
• Collaborate with international partners and publish technical reports and funding proposals.
• Present research findings at conferences and stakeholder events; contribute to policy-relevant tools.

Skills

Python

Machine Learning

Data analysis

Education

PhD/DPhil in machine learning, AI, computer science, epidemiology, or related quantitative field

Tools

PyTorch

TensorFlow

Job description

The University of Oxford invites applications for a fixed-term Research role within the PANDAI programme, an Horizon Europe-funded initiative advancing AI for pandemic preparedness.

You will develop and evaluate novel ML methods on large multimodal datasets, publish findings, and collaborate with international partners while contributing to policy-relevant tools.

The role requires a PhD in a quantitative field, strong Python skills, and a track record of independent research.