Finnish Center for Artificial Intelligence is constantly searching for outstanding doctoral students and postdoctoral researchers to tackle complex and exciting problems in the field of machine learning. Find our current open positions and apply to join our community below!
If there are no current open positions listed below, please feel free to send your open PhD student, Postdoc or Research Fellow application to FCAI coordinator Kaisa Pekkala (firstname.lastname at aalto.fi).
Postdoctoral and research fellow POSITIONS IN MACHINE LEARNING
FCAI brings together the world-class expertise of Aalto University and the University of Helsinki in AI research, strengthened further with an extensive set of companies and public sector partners, creating an attractive, world-class ICT hub in Helsinki metropolitan area. Hundreds of researchers are involved in various research and educational activities, and tens of industrial actors are collaborating in joint initiatives. Moreover, as the birth place of Linux, and the home base of Nokia/Alcatel-Lucent/Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe) and numerous other technologies and innovations, Helsinki is fast becoming one of the leading technology startup hubs in Europe. Come and join us to create the next generation of AI that is data-efficient, trustworthy and understandable!
FCAI research agenda builds on our world-class expertise in machine learning, and is spearheaded by 5 research programs with multiple research groups involved in each. FCAI is currently hiring postdoctoral researchers and research fellows in the following FCAI research programs and specific projects.
For more information on our research, see https://fcai.fi/research/.
FCAI RESEARCH PROGRAMS
Agile probabilistic AI: Probabilistic programming; Robust and automated Bayesian machine learning.
Several professors contribute. Contact person: Aki Vehtari
Simulator-based inference: Approximate Bayesian Computation ABC; likelihood-free inference; Generative adversarial networks (GAN); applications in many fields including medicine, materials design, visualization, business, among others.
Several professors contribute. Contact person: Jukka Corander
Next generation data-efficient deep learning; including deep reinforcement learning.
Several professors contribute. Contact person: Harri Valpola
Interactive AI: Interactive machine learning; probabilistic inference of cognitive models from data; probabilistic programming for behavioral sciences.
Several professors contribute. Contact person: Antti Oulasvirta
We welcome applications linking two or more of these areas together, and encourage female applicants to apply!
We will start processing the applications on November 29th 2018, so please apply quickly. The call will remain open until the positions are filled. This is a joint-call of organized by Helsinki Institute for Information Technology HIIT. By applying to this call, you apply with one application to both Aalto University and the University of Helsinki. The employing university will be determined according to the location of the supervising professor. Further information can be found below.