Overview
Aalto University's Department of Computer Science is recruiting a doctoral researcher in probabilistic machine learning for biology-informed dynamical systems.
Complete research opportunity details
The PhD work will develop biology-informed Gaussian-process models for dynamical systems, including uncertainty quantification, heterogeneous trajectories, partial observability and interpretable mechanistic ODE discovery. The appointment is for two years with an option for a two-year renewal. Starting salary is EUR 3,168.20 per month and includes occupational health benefits.
Eligibility requirements
Applicants should have a strong background in probabilistic machine learning, statistics, applied mathematics, computer science or a related field and strong programming skills. A master's degree must be completed before the contract begins.
Tips for this phd opportunity
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
Official Aalto University posting verified 2026-09-06. Deadline is 21 October 2026 at 23:59 UTC+3, normalized to 20:59 UTC.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Aalto University Open Positions ↗Browse current Job and Scholarship listings from Aalto University Open Positions →
