The project is focused on application of machine learning for road transportation infrastructure and R&D of a digital twin of tunnel traffic based on a large set of historical data collected from traffic counters, cameras and other traffic sensors classifying vehicle types, and with modular integration into the operator interface, thus providing predictive insight into traffic behavior and anticipatory monitoring for safety-critical aspects of traffic management in tunnels.

Open positions are for two researcher with contracts up to 30 November 2028.

Interested candidates are invited to submit theri applications by e-mail to Vinko Lesic (vinko.lesic@fer.hr).

The call for open position is ongoing. Applications will be evaluated periodically at every 10th day of month, starting with 10-July-2026.

GENITS - Generational Improvement of Key Products in the Intelligent Transportation System

The project of development of a new generation of intelligent traffic systems (ITS) focuses on three complementary products: monitoring and management software CNUP, road traffic station CPS and color traffic displays SPZ. The systems use advanced algorithms, V2I communication and LPWAN sensor networks, allowing to increase the safety, efficiency and reliability of the transportation infrastructure. The products are designed for the global market, with expected growth in sales revenue by 20% and exports by 10%. The project encourages employment and research, includes a commercialization plan and technology transfer through R&D and licensing agreements, and generates new patents and FER scientific publications.

The project is carried out in close collaboration with company LED elektronika d.o.o., Croatian leader in the development, design, production, installation and maintenance of road electronics, telematics and LED lighting systems.

Researcher

The gross salary (brutto) is in the range of 32,000 EUR per year.

Possibility of scholarship and enrollment as a PhD candidate within doctoral study programme at University of Zagreb Faculty of electrical engineering and computing. PhD scholarship implies a Faculty grant of 8,000 EUR within 3 years and in return a requiremenet of 6 hours of teaching content per week.

The ideal Researcher candidate should hold few years of experience in electrical engineering or computer science with a specific focus on convex optimisation or machine learning and a special interest for the application context of smart city and infrastructure. Alternatively, the candidate could hold few years of experience in mathematics or physics with an interest or references in machine learning and optimisation.

The candidate should have expertise in some of the topics listed below:

• mathematical modelling 
• data science, sampling, filtering
• machine learning and neural networks
• MATLAB/Simulink programming and simulation skills
• Python programming skills
• back-end programming skills, SQL queries, API creation
• teamwork and social skills (with references)
• autonomy and self-drive (with references)

Projekt se fokusira na primjenu strojnog učenja za cestovnu prometnu infrastrukturu, istraživanje i razvoj digitalnog blizanca tunelskog prometa na temelju velikog skupa povijesnih podataka prikupljenih s brojača prometa, kamera i drugih prometnih senzora koji klasificiraju vrste vozila, te s modularnom integracijom u operatorsko sučelje, čime se pruža prediktivni uvid u ponašanje prometa i anticipacijski monitoring sigurnosno-kritičnih aspekata upravljanja prometom u tunelima.

Otvorena su radna mjesta za dva istraživača s ugovorima do 30. studenog 2028.
Zainteresirani kandidati pozivaju se da dostave svoje prijave e-poštom Vinku Lešiću (vinko.lesic@fer.hr). Prijave će se periodično ocjenjivati ​​svakog 10. dana u mjesecu, počevši od 10. srpnja 2026 godine.

GENITS - Generacijsko Unaprjeđenje Ključnih Proizvoda u Inteligentnome Prometnom Sustavu

Projekt razvoja nove generacije inteligentnih prometnih sustava (ITS) fokusira se na tri komplementarna proizvoda: nadzorno-upravljački softver CNUP, cestovnu prometnu stanicu CPS i prometne displeje u boji SPZ. Sustavi koriste napredne algoritme, V2I komunikaciju i LPWAN senzorske mreže, omogućujući povećanje sigurnosti, učinkovitosti i pouzdanosti prometne infrastrukture. Proizvodi su dizajnirani za globalno tržište, s očekivanim rastom prihoda od prodaje za 20% i izvoza za 10%. Projekt potiče zapošljavanje i istraživanje, uključuje plan komercijalizacije i transfer tehnologije putem ugovora o R&D i licenciranju, te generira nove patente i znanstvene publikacije FERa.

Projekt se provodi u suradnji s hrvatskim poduzećem LED elektronika d.o.o., vodećim na području razvoja, projektiranja, proizvodnje, ugradnje i održavanja sustava cestovne elektronike, telematike i LED rasvjete.

Istraživač

Bruto plaća je u rangu 32,000 EUR godišnje.

Mogućnost stipendiranja doktorata u okviru doktorskog studija na Sveučilištu u Zagrebu Fakultetu elektrotehnike i računarstva. Doktorska stipendija podrazumijeva fakultetsku stipendiju od 8.000 EUR u roku od 3 godine i zauzvrat uvjetuje sudjelovanje u izvođenju nastave.

Uvjeti natječaja:
Idealni kandidat za istraživača trebao bi imati nekoliko godina iskustva u elektrotehnici ili računarstvu s posebnim fokusom na konveksnu optimizaciju ili strojno učenje i poseban interes za kontekst primjene na pametne gradove i infrastrukturu. Alternativno, kandidat bi trebao imati nekoliko godina iskustva u matematici ili fizici s interesom ili referencama u području strojnog učenja i optimizacije.

The candidate should have expertise in some of the topics listed below:

• matematičko modeliranje
• znanost o podacima, uzorkovanje, filtriranje
• strojno učenje i neuronske mreže
• vještine programiranja i simuliranja u MATLAB/Simulinku
• vještine programiranja u Pythonu
• vještine back-end programiranja, SQL upiti, stvaranje API-ja
• timski rad i društvene vještine (s referencama)
• autonomija i samostalnost (s referencama)