The Laboratory for Renewable Energy Systems (LARES) of University of Zagreb, Faculty of Electrical Engineering and Computing is looking to recruit a team for the implementation of the project ”SmartCityLight”.
The team consists of:
- two young researchers (m/f),
- one experienced researcher (m/f).
The project aims at developing centralized and distributed model predictive control algorithm and electronic controllers with wireless communication for predictive and autonomous adjustment of lighting intensity based on various external factors in the city such as micro-location climate conditions, pedestrian and road traffic intensity, safety concerns and other.
Together with it, inherent digitalisation of the city lighting enables integration of various city infrastructures and additional diagnostic possibilities. The algorithms will be experimentally verified on selected segments among 8000 city lamps as a pilot location of the City of Sisak, Croatia, with a warm start of an already integrated system to a central database. The project encompasses lighting spreading modelling, application of neural networks on historical data of external factors and model predictive control in both centralized and distributed forms.
The project is carried out in close collaboration with industry partner LED-Electronica, the producer of 15.000 cities LED lamps annually, corresponding controller and communication electronics, a cloud-based software platform for monitoring and control, and various services – and with over 60 references of successful implementations.
SUPERVISOR:
doc. dr. sc. Vinko Lešić (vinko.lesic@fer.hr)
Candidates’ profile:
Experienced researcher
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 convex optimisation or machine learning and a special interest for the application context of smart city and logistics. 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 and neural networks,
- 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).
Junior researchers
The ideal Junior Researcher candidate should have a master’s degree or equivalent 5-year study diploma in electrical engineering or computer science with a specific focus on control, embedded electronics or programming, and with an interest for the application context of a smart building, smart city and logistics. Alternatively, the candidate could hold a degree in mathematics or physics.
The candidate should have expertise in the majority of the topics listed below:
- high GPA (also required for enrolment as a PhD candidate),
- automation and control skills,
- programming skills,
- mathematical modelling,
- MATLAB/Simulink programming and simulation skills,
- teamwork and social skills (with references),
- autonomy and self-drive (with references).
Additional bonus skills to give an advantage among other candidates:
- convex optimisation and model predictive control,
- data science, sampling, filtering,
- machine learning and neural networks,
- Python programming skills in addition to MATLAB/Simulink.
Job Details
Number of positions available under the Grant: 3
Contract duration under the Grant: somewhat less than 3 years
Main research field: linear programming, quadratic programming, model predictive control, mathematical modelling, data science, sampling, filtering, machine learning and neural networks
Type of contract: full time
Working hours per week: 40
Application Details
Envisaged job starting date:December 2020
Application deadline: 5 November 2020
How to apply:
Interested candidates are invited to submit a cover letter, a detailed CV, and the contacts of up to three references by e-mail to vinko.lesic@fer.hr and ivana.basljan@fer.hr. Shortlisted candidates will be contacted shortly after their application for the interview.
