University of Zagreb Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb is announcing

C A L L   F O R   A P P L I C A N T S

for admission to the doctoral study programme Electrical Engineering and Computing for obtaining the academic degree of Doctor of Science (6 semesters, admission in the academic year 2023/2024) in the area of technical sciences, scientific fields of

ELECTRICAL ENGINEERING and COMPUTING

The programme is offered on a full-time (3 years) or a part-time basis (with an extended duration of research work, 5 years).

Enrolment quota: 60 students

The tuition cost is 7.963,38 EUR (60,000.00 HRK).  The tuition is payable in six (6) instalments of 1.327,23 EUR (10,000.00 HRK) per semester.

Applications for admission (with supporting documents) should be submitted using the Applicant Portal available on the link here, no later than 24 August 2023 for the winter semester, and 25 January 2024 for the summer semester.

As an obligatory part of the admission process, interviews with applicants will take place on the 29 and 30 August 2023 for the winter semester and on the 30 and 31 January 2024 for the summer semester, between 9 a.m. and 3 p.m. Each applicant will be informed about the exact time of his or her interview by e-mail.

Classes will begin in October 2023 for the winter semester and in March 2024 for the summer semester. Entry requirements and detailed information about the Doctoral Programme are available in the Information Package (Course Catalogue).

Should you need further details, please call +385 (0)1 6129 920 or write to doctoral.study@fer.hr.

The first meeting of the newly established FER Alumni Board took place on Friday, 3 March 2023, at the Faculty's Alumni Club. In his address, Dean Vedran Bilas explained that the Alumni Board aims to connect a strong, respected, and highly successful alumni community in Croatia and abroad to strengthen the Faculty. The emphasis will be on infrastructure and personnel development, as well as international recognition.

FER has been a springboard for many influential alumni, and their knowledge and influence can create new synergies for new generations of FER students.

The Alumni Board comprises 16 distinguished members who are prominent in their respective fields of work: Luka Abrus (Five), Davor Baković (Končar - Mjerni transformatori), Mirna Bašić (Erste&Steiermärkische Bank), Tomislav Car (Productive), Josip Ćesić (Gideon), Tomislav Čleković (Rimac Automobili), Boris Drilo (Hrvatski Telekom), Ivana Fazinić (Q agency), Anja Hula (Infobip), Gordan Kreković (Visage Technologies), Goran Mirković (AVL - AST), Mladen Pejković (Atlantic Group), Renata Rubeša (Croatian Transmission System Operator), Zlatka Tečec Ribarić (KONČAR - Institute of Electrical Engineering), Davor Tomašković (Croatia Insurance) and Igor Strejček (Microblink).

Dean Bilas presented the priority initiatives of the Alumni Board, which are divided into four areas: Attract, Meet & Transfer, Community, and Mentoring. The Alumni Board will establish individual working groups for each of these areas.

More information can be found below, and photos are available in the FER Gallery.

The European project "MareNostrum Experimental Exascale Platform - MEEP" coordinated by the Barcelona Supercomputing Center (BSC) with the main research partners Faculty of Electrical Engineering and Computing of the University of Zagreb (UNIZG FER) and TÜBİTAK BILGEM from Turkey (TUBITAK) has created a digital laboratory for high performance software and hardware codesign for the development of future European exascale systems.

The MEEP project hosts a large-scale FPGA system recently installed at the BSC in Barcelona, Spain. It will actively contribute to developing European technologies and their subsequent integration into exascale supercomputing designs.

The scientific paper "Normalizing Flow-based Feature Synthesis for Outlier-Aware Object Detection" has been selected as one of the top 10% of papers (conference highlights) to be presented at the CVPR 2023 - Conference on Computer Vision and Pattern Recognition.

It is a collaboration between Professor Siniša Šegvić and researchers Nishant Kumar and Stefan Gumhold from the Technical University of Dresden and Abouzar Eslami from Carl Zeiss Meditec AG.

The article considers the rejection of detection responses in anomalous regions of test images. The presented approach is based on learning anomaly detectors on synthetic negative features. The presented experiments have shown that normalizing flows can generate much better synthetic negative features than classical generative models based on per-class Gaussian distributions. The full text of the article is available on Arxiv.

CVPR is the central annual conference in the field of computer vision and one of the most prestigious conferences in the field of technical sciences. This year the conference will be held from June 18 to 22, 2023, in Vancouver, Canada.

This year, CVPR accepted less than 26% of the received papers (a total of 9,155 papers were submitted), and only about 2.5% of the received papers entered the selection of the best articles at the conference.