The TAU (Testing AUtomated) research group at the Software Institute of Università della Svizzera italiana (USI) investigates novel testing techniques to improve the robustness and security of systems based on deep learning.
We offer one PhD positions in the following topic: Automated partitioning of a complex input space into a topographical map consisting of regions that maximise the likelihood of fault exposure when test cases are sampled from unexplored or boundary map regions. The PhD position is funded by the SNSF project TopoScope, aiming at redefining the testing activities as the exploration of a topographical map of the input space.
We are scouting excellent applicants for this PhD positions. Successful candidates will work at the Software Institute of Università della Svizzera italiana (USI) in Lugano, Switzerland, under the supervision of Prof. Paolo Tonella and the co-supervision of Dr. Nargiz Humbatova. At USI, PhD salaries are highly competitive (around 50 kCHF), in accordance with the Swiss standards. Ideally, the selected candidates are expected to start on January 1st, 2024, but later starts can also be considered. The duration of the PhD contract will be 4 years.
How to apply?
Applications for PhD positions should include a curriculum vitae and the exam transcripts. PhD candidates should hold an MSc degree in Computer Science by the beginning of 2024. Applications can be sent to email@example.com. The call will remain open until the position is filled, but priority will be given to earlier applications.