MSCA COFUND Doctoral Programme LogiCS@TUWien

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LogiCS@TUWien is an interdisciplinary Marie Skłodowska-Curie COFUND doctoral programme at Technische Universität Wien (TU Wien) that educates 20 PhD students for 4 years on logical methods in Computer Science and their applications, in particular to Artificial Intelligence, Databases, Verification, Algorithms, Security and Cyber-Physical Systems.

Training Europe’s Next Top Computer Scientists

LogiCS@TUWien provides a training that is designed to encourage interdisciplinarity between the involved fields by joint seminars, scientific workshops, and compulsory courses outside the PhD students’ research fields. Apart from that, students will be involved in grant applications and conference organization. Each student will be supervised by two experienced and internationally renowned supervisors with different research foci.
The training will also provide a career development program, advice and support for students with innovative business ideas, and workshops for presentation and soft skills.


TU Wien Main Building


Stimulating and Dynamic Environment

TU Wien, Austria’s largest and most successful technical university, is located in the heart of Europe, within a vibrant city with one of the highest living standards in the World, the Faculty of Informatics of TU Wien ranks among the Top 20% research and teaching institutions in the field worldwide.

The future career perspectives of the PhD researchers in our LogiCS@TUWien programme will be enhanced by our strong international research network, and a 6-month stay abroad at one of our international partner labs.









Technische Universität Wien
Institut für Logic and Computation
Favoritenstraße 9-11
1040 Wien, Austria/EUROPE

E-Mail: msca(AT)





Join us at LogiCS@TUWien!

We are looking for 20 PhD students that will work on interdisciplinary topics across
Logic, AI, Verification, Algorithms, Security and CPS.

The First Call will start on October 8, 2021. Stay Tuned!





This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie
grant agreement No 101034440.                      Co-funded by the European Union