PhD in Probabilistic ML for Biology-Informed Dynamics

Aalto University Executive Education Oy; Espoo; Hybrid; EUR 30,000 - 41,000; Full time

Benefits offered by this job

Occupational health benefits

Job summary

Aalto University seeks a Doctoral Researcher in Probabilistic Machine Learning to join the Department of Computer Science in Espoo, Finland. The role focuses on biology-informed ML for dynamical systems and uncertainty quantification within a strong research network.

You will develop Gaussian Process models that couple mechanistic knowledge with flexible components, supervised by a renowned team, and expected to contribute to scholarly publications and foundational ML methods.

Qualifications

• Master's degree completed before start of contract.
• Strong programming skills relevant to ML and data analysis.
• Background in probabilistic machine learning, statistics, applied mathematics or related field.

Responsibilities

• Develop Biology-Informed Gaussian Processes for dynamical systems.
• Contribute to Bayesian machine learning and computational biology research.
• Collaborate within the Computational Systems Biology group and FCAI/ELLIS Finland networks.

Skills

Probabilistic ML

Statistics

Applied mathematics

Computer Science

Education

Master's degree

Tools

Programming

Job description

Aalto University seeks a Doctoral Researcher in Probabilistic Machine Learning to join the Department of Computer Science in Espoo, Finland. The role focuses on biology-informed ML for dynamical systems and uncertainty quantification within a strong research network.

You will develop Gaussian Process models that couple mechanistic knowledge with flexible components, supervised by a renowned team, and expected to contribute to scholarly publications and foundational ML methods.