Pristupačnost
Application of artificial intelligence, including machine learning and convex optimization for city infrastructure: transport, energy consumption in buildings, indoor and outdoor air quality and city heat maps. The premise is observation of weather variables, hyperlocal weather forecasts for specific points of interest and trasnformation of meteorological forecasts to air quality predictions on focused case study of City of Zagreb. Open positions are for junior researcher, researcher, experienced researcher and lead researcher. The project aims to start on 1 January 2026 and employment duration varies for different positions.
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 4th day of month, starting with 4-Dec-2025.
UrbanSPARC - Smart and Predictive Urban Ecosystem for Climate Change Resilience
Urban centers around the world are facing serious consequences of climate change that threaten the quality of life of citizens and have long-term negative consequences on the city's infrastructure, ecosystems and economic stability. Localized weather forecasts and transformation into variables of importance for infrastructure using artificial intelligence enable timely adaptation. The project aims to increase the resilience of selected urban vulnerable sectors of the City of Zagreb to climate change through deep digitalization and correlation with meteorological conditions, mathematical modeling and optimization procedures, and to create a basis for more efficient processes and coordination of sectors in spatial planning with regard to expected climate change.
The project is carried out in close collaboration with City of Zagreb and is aiming to monitor and optimize indoor air quality of elementary schools based on complex relation of multiple climate-impacted city infrastructures with experimental approach.
Experienced researcher
The gross salary (brutto) is in the range of 38,000 EUR per year.
Offer requirements:
The ideal Experienced Researcher candidate should hold a PhD or several years of experience in electrical engineering or computer science with a specific focus on optimisation methods and machine learning and a special interest for the application context of smart city and infrastructure. Alternatively, the candidate could hold a PhD or several 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:
- linear programming, quadratic programming, or explicit model predictive control
- mathematical modelling
- data science, sampling, filtering
- machine learning
- MATLAB/Simulink programming and simulation skills
- Python programming skills
- back-end programming skills, SQL queries, API creation
- teamwork, social and mentoring skills (with references)
- autonomy and self-drive (with references)
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:
- model predictive control
- 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)
Junior researcher
The gross salary (brutto) is in the range of 27,000 EUR per year (for full time).
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 Junior researcher candidate should hold a degree in electrical engineering or computer science or, alternatively, a degree in mathematics or physics, with a specific focus on convex optimisation or machine learning and a special interest for the application context of smart city and infrastructure..
The candidate should have expertise in some of the topics listed below:
- model predictive control
- 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
- autonomy and self-drive
Lead researcher
The gross salary (brutto) is in the range of 43,000 EUR per year.
Offer requirements:
The ideal Lead researcher will drive the research team and have a steering or consultant role in one (or few) of the specific domains of wether forecasts and meteorological variables or city infrastructure (transport, buildings, green islands). Position is part time or of a short duration.
The candidate is required to hold a PhD degree and several years of experience in one of the abovementioned domain.