Title: Machine learning for neuroscience
Thesis advisors: Samuel Kaski and Susanne Merz (contact person)
We are looking for a Master's Thesis worker to join us in developing new probabilistic modelling and machine learning methods needed in the core problems of modern neuroscience, based on (functional) brain imaging and clinical data. In this domain, key properties of our methods are important: solid uncertainty estimates and ability to uncover both linear and nonlinear relationships from data.
The work will be related to a large EU project including excellent neuroscience collaborator, Prof. Riitta Salmelin of Aalto, and unique data coming from a number of collaborators across Europe. In the project we are developing new machine learning methods for estimating individual "fingerprints" of brain activity that are predictive early of later disturbances, with large application potential.
Links:  
Contact: Susanne (email@example.com) for more info.
Postdoc or research fellow positions in the Probabilistic Machine Learning Group. Search here for the topics from Samuel Kaski or Aki Vehtari. The deadline for applications is 21st August 2022 at 23:59 Finnish time (UTC +3).
FCAI is searching for postdocs, research fellows and doctoral researchers. There are excellent positions, many involving the Probabilistic Machine Learning group. Check the topics here. The deadline for the postdoc/research fellow applications is January 30 and for the doctoral researcher applications 21st August 2022 at 23:59 Finnish time (UTC +3).
Doctoral student positions in the Probabilistic Machine Learning Group. Search here for the topics from Samuel Kaski or Aki Vehtari. Deadline: 28 August at 11:59 pm Finnish Time (UTC+3).
For positions in the group, please follow the job advertisements at
Many of our doctoral students have started as research assistants in the group. We hire doctoral students mostly from Master's programmes that provide relevant background knowledge for our research areas, such as the major in Machine Learning and Data Mining (Macadamia), and also from HICT calls.
The most promising Bachelor students have also the opportunity to move directly to the Doctoral studies via the Doctoral track.
The best method to join our group is to enroll in Macadamia (The major in Machine Learning and Data Mining) or Bioinformatics, or some other relevant major at Aalto, proceed rapidly in the studies with good grades, and apply in our calls for summer interns. The majors also have honors programmes.
Enroll a Bachelor's programme in Aalto, do well in math and other important subjects, and apply in our calls for summer interns.
The most promising Bachelor students have the opportunity to move directly to the doctoral studies via the Doctoral track.
We take part in Aalto Science Institute AScI internship programme (for international students) and in the Aalto University Department of Computer Science intership call (Aalto students). The application period typically opens in January.