Application of artificial intelligence, including machine learning, optimal and predictive control for a logistics system of vending machines supply with verification on historical data samples from real domestic and international locations of many machines, open  positions for one young researcher, one researcher and one experienced researcher full-time, and one project administrator half-time (project T-LOGIC with company Intis, envisioned start 1 October 2020, employment duration somewhat less than 3 years contact e-mail).

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 (vinko.lesic@fer.hr).

T-LOGIC – Intelligent Management of Vending and Micro Market Logistics 

The project aims at establishing autonomous virtual manager in vending machines logistics including vending machines, delivery, warehouse and capacities. The management system is targeted as a cloud-based platform, utilizing artificial intelligence and machine learning on historical data, mixture of various optimization approaches such as heuristic, evolutionary and convex optimization (e.g. mixed-integer linear programing) with experimental verification on large number of real local and international vending machines, delivery routes and warehouses. Modular approach enables flexibility and prompt application to a particular case while the predictive modules are coordinated to achieve additional and synergic cost savings, energy efficiency and greenhouse gasses reduction.

The project is carried out in close collaboration with industry partner INTIS, the producer of Televend vending machines products and services - a team of over 100 vending enthusiasts that want to carry traditional vending business into the future of connected smart machines.
 

Experienced researcher

The gross salary (brutto) is in the Postdoc range of 170,000 HRK 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 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)
   

Researcher

The gross salary (brutto) is in the range of 145,000 HRK 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 60,000 HRK 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 logistics. 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 120,000 HRK per year, together with an offer for 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 60,000 HRK within 3 years and in return a requiremenet of 6 hours of teaching content per week.

Offer requirements:
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 smart building, smart city and logistics. Alternatively, the candidate could hold degree in mathematics or physics.

The candidate should have expertise in 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 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

Project administrator (half-time)

The gross salary (brutto) is in the range of 140,000 HRK per year (for full time).

Offer requirements:
The ideal Administrator candidate should have a master’s degree or equivalent 5-year study diploma and few years of experience in technical management area. Alternatively, the candidate could hold degree and few years of experience in either technical or management area.

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

• project management
• team management
• EU funding grant proposals preparation
• marketing and visibility affinity
• expressed communication skills (with references)
• teamwork and social skills (with references)
• autonomy and self-drive (with references)
• leadership skills (with references)