Publisher
source

Luigi Acerbi

Just Landed

2 days ago

PhD and Postdoc Opening in Amortized Probabilistic Machine Learning for Decision Making University of Helsinki in Finland

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

The project is associated with FINe-Health Foundry and is funded by Business Finland. The post does not specify stipend, salary, tuition, or other financial details, but it is presented as a funded research position rather than a scholarship.

Deadline

Sep 21, 2026

Country flag

Country

Finland

University

University of Helsinki

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Mathematics
Decision Making
Medical Science
Insurance
Statistics

Suggested positions

About this position

Luigi Acerbi (Associate Professor, University of Helsinki) is hiring a PhD student and/or postdoc to join his group at the University of Helsinki and ELLIS Institute Finland.

The research topic is Amortized Probabilistic Machine Learning for Decision Making, with applications in healthcare and scientific modelling. The project is also linked to FINe-Health Foundry, a consortium developing a foundation model for decision making in healthcare, funded by Business Finland.

This opportunity is especially relevant for candidates interested in probabilistic machine learning, Bayesian ML, amortized inference, decision making, and AI for healthcare. The post explicitly mentions both PhD and postdoc openings.

Application deadline: September 21, 2026. Applicants are directed to the ELLIS call and should state that they want to work with Luigi Acerbi. A full job posting is also available.

Useful links shared in the post include the full job posting, the ELLIS recruitment call, a podcast on amortized inference, and a demo of the group’s methods.

Funding details

The project is associated with FINe-Health Foundry and is funded by Business Finland. The post does not specify stipend, salary, tuition, or other financial details, but it is presented as a funded research position rather than a scholarship.

What's required

Applicants should be interested in amortized probabilistic machine learning, decision making, healthcare applications, and scientific modelling. The post invites both PhD students and postdocs; no specific degree, GPA, or language-test requirements are stated in the post excerpt.

How to apply

Review the full job posting and the ELLIS call. Apply by September 21 and indicate that you want to work with Luigi Acerbi.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors