Job Details
The successful candidates are expected to:
Key Responsibilities
Develop optimization algorithms for managing EV charging, battery storage, and RES production.
Implement control strategies for integrating EV chargers, battery energy storage systems, and
photovoltaic generation.
Design and test pricing schemes that align with market electricity prices, grid conditions, and user
demand patterns.
Apply mathematical programming, machine learning, and AI techniques for optimizing EV
charging operations.
Simulate and validate algorithms in software environments such as Python, MATLAB, or Julia.
Develop power systems simulation models to enable digital twins for hardware in the loop
and what-if investigations.
Contribute to real-world pilot testing and validation of developed algorithms in collaboration
with project partners.
Participate in project meetings, technical reporting, and academic publications.
The required skills and expertise for the announced position include the following:
Background in optimization algorithms, mathematical modeling, and control theory.
Experience with power system modeling and optimization, EV charging management, and
renewable energy integration.
Proficiency in Python, MATLAB, or Julia for numerical simulation and optimization.
Familiarity with AI techniques, reinforcement learning, or predictive analytics is a plus.
Proficiency in power systems simulation tools (e.g., MATLAB/Simulink, DIgSILENT
PowerFactory) and experience with real-time simulation platforms (e.g., OPAL-RT, RTDS) are
considered an advantage.
Experience with industrial communication protocols (e.g., OCPP, Modbus, MQTT) is an
advantage.
Profile of the ideal candidate:
Attention to detail
Problem solver with strong analytical skills
Independent and self-motivated, with the ability to work in a team-oriented research
environment.
Reliable and trustworthy
Flexible and eager to learn
Able to adapt to a fast-paced dynamic environment
Have good communication, organizational and self-management skills
Very good knowledge of the English language
Qualifications and Experience:
Bachelor, Master or Ph.D. degrees in Electrical Engineering, Computer Science, Operations
Research, or a related field from an accredited institution.
Employment Terms:
The position is on a contract basis. Initially, a one-year contract will be offered, with a 6-month probation
period, which is renewable based on performance. The gross monthly salary depends on the candidate's
qualifications and experience and will be between €2200 – €3200 for the Research Associate position and
€1500 - €2500 for the Research Engineer position. From this amount, employee contributions to the
Cyprus government funds will be deducted. A 13th salary bonus is incorporated into the monthly salary.
Maternity leave will be granted based on Maternity Protection Law 1997(Ν.100(Ι)/1997), and the existing
amendment laws.
Application:
Interested candidates should submit the following items online through the link:
https://applications.ucy.ac.cy/recruitment
Cover letter explaining the interest of the applicant in pursuing a career at the KIOS CoE, along
with employment availability date
Summary of prior work experiences, activities, and accomplishments (can be combined with the
cover letter) (1 page)
A detailed curriculum vitae in English
Copies of transcripts of BSc/MSc/PhD or other degree(s)
Copy of an English language certificate
Identify at least two referees who can provide reference letters
The applications should be submitted as soon as possible, but not later than Friday, 27th of June 2025, at 5
pm. The evaluation of the applications will begin immediately. Candidates will be informed of the result of
their application by the KIOS CoE