PhDComputer Science
Study location | Estonia, Tartu |
---|---|
Type | PhD, full-time |
Nominal duration | 4 years |
Study language | English |
Awards | PhD (PhD) |
Registration fee | €149.99 one-time Includes: You can receive DISCOUNT and pay only 104.99 EUR, for more information visit our FREE webinar “Education in Europe”. |
---|
Entry qualification | Postgraduate diploma (or higher) Applicants are evaluated based on The entry qualification documents are accepted in any language Applicants must upload education documents in original language, as well as translations into English. You must take the original entry qualification documents along with you when you finally go to the university. |
---|
Territory requirements | Applications are NOT accepted from the following territories (based on citizenship): Bangladesh, Iraq, Pakistan, Yemen. |
---|
Language requirements | English |
---|
Other requirements | At least 2 reference(s) should be provided. 1) official copy of the diploma and diploma supplement (transcript/mark sheet) of the preceding study levels (both bachelor’s and master’s) in the original language; |
---|
Overview
IMPORTANT! Please choose this programme to apply for one of the following projects:
Artificial pupils: artificial intelligence algorithms for testing the effects of personalized education (supervisor Jaan Aru)
Injecting background knowledge for a better AI explainability (supervisors Eduard Barbu, Raul Vicente Zafra)
The Future of Digital Contact Tracing (supervisor Huber Flores)
Reliable distributed data pipelines for multi-organizational IoT data integration, sharing and analytics (supervisor Pelle Jakovits)
Contextual uncertainty quantification in artificial neural networks (supervisor Meelis Kull)
What influences the career choices and perceptions of the IT profession among students in secondary schools using the example of the Estonian secondary schools (supervisors Piret Luik, Marina Lepp)
Agent behaviour prediction for urban autonomous driving (supervisors Naveed Muhammad, Yar Muhammad)
Computer Graphics Education (supervisor Ulrich Norbisrath)
Applying Software Engineering Techniques to Test Deep Learning-based Object Detection Systems (supervisor Dietmar Pfahl)
Haplotype-based pharmacogenomic studies based on electronic health records and genetic data (supervisors Sulev Reisberg, Lili Milani)
Human-centric AI for social good (supervisor Rajesh Sharma)
Methodology for elicitation and modelling of emotional requirements for sociotechnical systems (supervisors Kuldar Taveter, Wai Shiang Cheah)
Decentralized and Orchestrated Stream Processing at the Edge (supervisor Riccardo Tommasini)
Europe/Riga time
Autumn Intake
Europe/Riga time
Autumn Intake