The Institute of Telecommunications at TU Wien (Vienna University of Technology), Vienna, Austria (https://www.nt.tuwien.ac.at/research/) announces a PhD (doctoral student) position in the area of Bayesian machine learning with application to simultaneous multiagent localization, multiobject tracking, and mapping. The prospective PhD student will contribute to basic research performed by an international team within the project "Agent Localization and Inference of Dynamic Environments,” which is directed by Prof. Franz Hlawatsch (https://www.nt.tuwien.ac.at/about-us/staff/franz-hlawatsch/) and funded by the Austrian Science Fund (FWF).
The goal of the project "Agent Localization and Inference of Dynamic Environments” is to autonomously provide mobile agents with reliable knowledge of their time-varying locations, of the time-varying states of multiple objects, and of salient features of the environment (map). This is relevant to a number of current and future applications, including autonomous vehicles and mobile robots. The focus of the project is the development of Bayesian statistical models and machine learning methods and their simulation using MATLAB or Python. A real implementation is outside the scope of the project. The project duration is four years.
Applicants should hold a Master's degree (or equivalent) in Electrical Engineering, Computer Science, Mathematics, or Physics. Applications of Master’s students in the final stage of their studies will also be considered. A strong mathematical background, a mastery of probability calculus and basic statistics, and good written and oral communication skills in English are required. The gross salary is 30.268 Euro per year. The start date is as soon as possible.
Applications including a detailed curriculum vitae and a transcript of records should be sent by email to Prof. Franz Hlawatsch (firstname.lastname@example.org). Applications will be considered until a suitable candidate has been found.