Biology-Informed Bayesian ML PhD Researcher

Aalto University; Espoo; On-site; EUR 32,000 - 39,000; Full time

Benefits offered by this job

Fixed-term 2 years

Salary 3168 EUR/mo

Health benefits

Job summary

Aalto University in Espoo invites applications for Doctoral Researcher in Probabilistic Machine Learning. The PhD student will work in the Department of Computer Science on biology-informed ML for dynamical systems, building BioGPs and Bayesian inference methods to quantify uncertainty and learn interpretable mechanistic equations.

The appointment is two years with an option to renew for two years, with a starting salary of 3168,20 EUR per month plus health benefits and a strong research network

Qualifications

• Strong background in probabilistic machine learning or statistics.
• Experience with Gaussian processes and Bayesian methods.
• Proficiency in programming (Python) and scientific computing.
• Ability to work across biology and machine learning disciplines.

Responsibilities

• Develop BioGPs for dynamical systems in biology-informed ML.
• Quantify uncertainty and perform inference on heterogeneous trajectories.
• Collaborate with the Computational Systems Biology group and FCAI.
• Publish results and contribute to open-source software.

Skills

Probabilistic ML

Statistics

Applied mathematics

Programming

Machine learning

Python

Gaussian Processes

Bayesian inference

Education

Master's degree in a related field

Tools

Python

Gaussian Processes

Bayesian inference

Job description

Aalto University in Espoo invites applications for Doctoral Researcher in Probabilistic Machine Learning. The PhD student will work in the Department of Computer Science on biology-informed ML for dynamical systems, building BioGPs and Bayesian inference methods to quantify uncertainty and learn interpretable mechanistic equations.

The appointment is two years with an option to renew for two years, with a starting salary of 3168,20 EUR per month plus health benefits and a strong research network