Postdoc: Federated AI for Biomedical Discovery

Argonne National Laboratory; Lemont (IL); On-site; USD 72,879 - 121,465; Full time

Job summary

Argonne National Laboratory in Lemont, Illinois, is looking for a Postdoctoral Appointee to conduct research in federated learning and AI for biomedical applications. The candidate will collaborate with multidisciplinary teams and develop methodologies for multimodal federated learning.

The ideal candidate will have a Ph.D., strong programming skills in Python, and experience with frameworks like PyTorch and TensorFlow. Competitive salary range: $72,879.00–$121,465.00 based on qualifications.

Qualifications

• Ph.D. completed within the last 0-5 years in computer science or related field.
• Strong programming skills in Python and experience developing machine learning software.
• Experience with large-scale or complex datasets, including biomedical data.

Responsibilities

• Conduct research in federated learning and privacy-preserving AI.
• Develop methods for multimodal federated learning.
• Collaborate with inter-disciplinary teams on multiple projects.

Skills

Programming in Python

Machine Learning Frameworks

Federated Learning

Communication Skills

Education

Ph.D. in relevant fields

Tools

PyTorch

TensorFlow

Docker

Job description

Argonne National Laboratory in Lemont, Illinois, is looking for a Postdoctoral Appointee to conduct research in federated learning and AI for biomedical applications. The candidate will collaborate with multidisciplinary teams and develop methodologies for multimodal federated learning.

The ideal candidate will have a Ph.D., strong programming skills in Python, and experience with frameworks like PyTorch and TensorFlow. Competitive salary range: $72,879.00–$121,465.00 based on qualifications.