Postdoc in Uncertainty‑Aware Probabilistic ML

SciLifeLab; Uppsala kommun; On-site; SEK 520,000 - 640,000; Full time

Job summary

Uppsala University invites applications for a two-year postdoctoral position in the Scientific Machine Learning group at the Division of Scientific Computing (TDB). The role focuses on uncertainty quantification for large pre-trained models, probabilistic generative and world models, and data-driven scientific discovery.

You will publish and present at international conferences, contribute to open-source software, and may supervise students; teaching may be up to 20%.

Qualifications

• PhD in machine learning, computer science, scientific computing, mathematics, statistics or related field, or foreign degree equivalent; degree must be obtained by the employment decision time.
• Priority for degree within 3 years of deadline; exceptions may apply.
• Documented research in modern deep learning (generative models, Bayesian deep learning, large pre-trained models) and excellent Python skills with PyTorch or JAX.
• Excellent spoken and written English; self-motivation and team-oriented mindset.

Responsibilities

• Research, publish and present results at international conferences.
• Contribute to the group’s open-source software.
• Supervision of students; teaching may be up to 20%.

Skills

Deep learning

Python

PyTorch

JAX

English

Self-motivation

Education

PhD in ML/CS/Math/Statistics

Tools

PyTorch

JAX

Python

Job description

Uppsala University invites applications for a two-year postdoctoral position in the Scientific Machine Learning group at the Division of Scientific Computing (TDB). The role focuses on uncertainty quantification for large pre-trained models, probabilistic generative and world models, and data-driven scientific discovery.

You will publish and present at international conferences, contribute to open-source software, and may supervise students; teaching may be up to 20%.