We are looking for a valuable and motivated candidate for a doctoral student in the associate title of assistant in the position of assistant at the University of Zagreb, Faculty of electrical engineering and computing (FER), Department of Electronic Systems and Information Processing (ZESOI). The opening is available under the Croatian Science Foundation project: “Renaissance of Sampling Theory – SamplingRenaissance”. The competition was approved within the call of the Croatian Science Foundation: “Career Development Project for Young Researchers – Training of New Doctors of Science” (DOK-2021-02) and provides funding for doctoral studies at FER and scientific research in the scope of project for four years.
You can read more about the project on the website https://www.zesoi.fer.hr/zesoi/istrazivanje/rene
If you are interested in researching new algorithms for efficient representation and processing of signals and images combined with deep learning procedures with numerous real-world applications, join the project team, which currently has four doctoral students and four research mentors. The research is interdisciplinary, so this competition is open to candidates in the field of technical sciences, field of electrical engineering or computer science, but also for the field of natural sciences, field of mathematics or physics.
All information on this opening and deadlines for applying for this competition is published on the official website of FER, and this specific position is under number (2):
2. Doctoral student in the associate title of assistant for technical sciences, field of electrical engineering or computer science or field of natural sciences, field of mathematics or physics and for the position of assistant in the Department of Electronic Systems and Information Processing – 1 position for a fixed period of up to 4 years “SamplingRenaissance”.
If you want additional information about the competition for this doctoral position, feel free to contact the email address email@example.com, so we can arrange an interview (Zoom or Teams) with members of the project team to learn first hand about this exceptional opportunity for PHD studies.