Doctoral Researcher in Probabilistic Machine Learning
Join a leading research team at Aalto University to develop biology-informed machine learning methods for dynamical systems.
Best for:Best for candidates with a strong background in probabilistic machine learning and an interest in computational biology.
Overview
Aalto University is seeking a motivated doctoral researcher to join the Department of Computer Science. The successful candidate will work on developing biology-informed Gaussian processes to model complex dynamical systems in biology. This position is situated within a collaborative environment involving the Computational Systems Biology group, the Finnish Centre for Artificial Intelligence, and the ELLIS Institute Finland. The role focuses on integrating mechanistic ODE models with flexible machine learning approaches to improve uncertainty quantification and interpretability. Applicants should have a strong background in machine learning, statistics, or applied mathematics.
What you'll do
- Develop and implement biology-informed Gaussian process models for dynamical systems.
- Conduct research on uncertainty quantification and inference from heterogeneous biological data.
- Collaborate with interdisciplinary teams at the Finnish Centre for Artificial Intelligence and ELLIS Institute Finland.
- Contribute to the development of interpretable mechanistic ODE models.
- Publish research findings in high-impact machine learning and bioinformatics venues.
- Participate in the academic activities of the Department of Computer Science.
Requirements
Degree required: Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field.
Degree offered: PhD
Language: English proficiency is required for research and communication.
Instruction: English
- Strong background in probabilistic machine learning or statistics.
- Proficiency in programming for scientific research.
- Ability to conduct independent research in a collaborative environment.
- Strong analytical and mathematical skills.
- Must have completed a master's degree before the start of the contract.
Funding & terms
How to apply
Deadline: 2026-10-21 (UTC+3) · open until filled
Submit your application through the Aalto University Workday recruitment portal. Ensure all required documents are combined into a single PDF file.
- CV
- Cover letter
- Academic writing sample
- MSc transcripts
- BSc transcripts
- Latest degree certificate
Contact
Julien Martinelli· Research Fellow
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