The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a joint initiative by Aalto University and the University of Helsinki, the two leading universities within this area in Finland. The network involves at present over 60 professors and over 200 doctoral students, and the participating units graduate altogether more than 40 new doctors each year. The quality of research and education in both HICT universities is world-class, and the education is practically free as there are no tuition fees for doctoral students in the Finnish university system.
The participating units of HICT have currently funding available for exceptionally qualified doctoral students. We offer the possibility to join world-class research groups, with over 30 interesting research projects to choose from. If you wish to be considered as a potential new doctoral student in HICT you can apply to one or a number of doctoral student positions.
We welcome applicants with diverse backgrounds, and qualified female candidates are explicitly encouraged to apply. For more information, please see the list of positions and detailed information on the application process at: https://www.hict.fi/autumn2020.
The online application form closes August 17, 2020 at midnight Finnish time.Continue reading
|Title||Helsinki ICT network: Doctoral student positions in computer science (deadline August 17, 2020)|
|Job location||Lämpömiehenkuja 2, 02150 Espoo|
|Published||July 1, 2020|
|Application deadline||August 17, 2020|
|Job types||PhD  |
|Fields||Informatics,   Information Science,   Algorithms,   Artificial Intelligence,   Artificial Neural Network,   Computer and Society,   Computer Architecture,   Computer Communications (Networks),   Computer Graphics,    and 21 more. Cyber Security,   Computing in Mathematics, Natural Science, Engineering and Medicine,   Computing in Social science, Arts and Humanities,   Data Mining,   Data Structures,   Databases,   Distributed Computing,   Human-computer Interaction,   Information Systems (Business Informatics),   Operating Systems,   Parallel Computing,   Programming Languages,   Quantum Computing,   Software Engineering,   Theory of Computation,   Computational Sciences,   Game Design,   Big Data,   Machine Learning,   Machine Vision,   Computer Vision  |