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HICT: Doctoral Candidate in Machine learning for collaborative AI

The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a collaborative doctoral education network hosted jointly by Aalto University and the University of Helsinki, the two leading universities within this area in Finland. The network serves as a collaboration platform for doctoral education combining all the relevant subfields of computer science and information technology at Aalto University and the University of Helsinki. It involves at present 80 professors and almost 300 doctoral students, and the participating units graduate altogether more than 40 new doctors each year.

We offer the possibility to join world-class research groups in both universities with multiple interesting research projects to choose from. The list of all open Doctoral Candidate positions in this joint call can be found here:

HICT Doctoral Candidate in Machine learning for collaborative AI

Supervisor(s): Samuel Kaski (Aalto University), collaborators in Alan Turing Institute (TU Delft), Antti Oulasvirta (Aalto University)

We study how to build collaborative agents (the AI) which are able to help another agent (the user) perform a task. 

A prime goal for FCAI’s research is to develop a new form of AI that can better work with people and assist them in everyday tasks. This can be seen as a probabilistic modeling task which requires data-efficient inference on multi-agent models, and some prior knowledge from cognitive science. We are now looking for an outstanding machine learning researcher who wants to develop with us the theory and inference methods for this new task. This will involve multi-agent modeling, POMDPs and reinforcement learning, and inverse reinforcement learning.

A sample previous paper: Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski (2019). Machine Teaching of Active Sequential Learners Conference on Neural Information Processing Systems, NeurIPS 2019

Keywords: Collaborative AI, inverse reinforcement learning, reinforcement learning, computational cognitive modeling, interactive AI, Multi-agent modeling

This project is a part of the Finnish Center For Artificial Intelligence (FCAI). To find out more please visit

Ready to apply?

If you want to join our community and start your journey towards Doctoral dissertation submit your application via our electronic recruitment system. The application form will close 6th February 2022 at 23:59 Finnish time (UTC +2).

If you are currently working at Aalto University, please submit your application via HR System Workday (Career – Find jobs – Apply).

Please be prepared to add the following attachments:

  • Cover letter
  • CV
  • Transcript of your Master’s studies

You will be asked to provide also the contact details of 2-3 academic referees.

What we offer?

HICT is a network of world-class professors and researchers with huge passion for their field of study. In HICT you will become part of enthusiastic and professional team of bold and innovative thinkers.

During your Doctoral studies you will be a full-time employee in either Aalto University or the University of Helsinki depending on the supervisor and the research area. You will be covered by occupational health care based on the employment contract.

More information:

General information about the joint HICT call and HICT:

General questions about HICT: Christina Sirviö, HICT team

General questions about recruitment process: Sanni Kirmanen, Aalto University HR

[email protected]

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