Data Analyst / Modeller for Li-ion Battery Systems (fixed-term – 6 months; flexible workload suitable for students and experienced specialists.
The Institute of Solid State Physics, University of Latvia (ISSP UL) is one of Latvia’s leading research institutes in materials science and technology, employing more than 300 staff members. The Laboratory of Energy Materials, comprising over 30 researchers, develops advanced materials and processes for next-generation batteries and hydrogen technologies. The team conducts practically oriented, industry-relevant research, participates in international projects, and collaborates with companies to translate scientific results into real-world applications.
The Laboratory of Energy Materials is currently developing an algorithm to extend the lifetime and performance of Li-ion batteries based on real operational data from electric vehicles and stationary energy storage systems. The project aims to analyze the impact of environmental and operating conditions on battery lifetime and to develop temperature and operational optimization strategies that could be integrated into battery or energy management systems. In the long term, the goal is to create an algorithm that significantly extends the service life of grid-scale stationary batteries and electric vehicle battery systems.
Main responsibilities:
- Analysis of large-scale operational datasets (current, voltage, temperature, SoH, etc.) from real Li-ion battery systems
- Identification of correlations between battery aging, performance, and operating conditions (especially temperature)
- Development of mathematical and data-driven models describing battery state and degradation
- Investigation of Kalman filtering or similar state estimation methods (SoC, SoH, degradation indicators)
- Development of simplified data-driven or hybrid (physics + data) models
- Model validation using experimental laboratory data under controlled conditions
- Documentation and presentation of results within the project team
What we expect:
Mandatory skills:
- Strong Python skills (data processing, analysis, visualization)
- Ability to work with large datasets and derive data-driven insights
- Interest in energy storage technologies and data analytics
Preferred qualifications (depending on experience):
- Experience with Kalman filtering or similar state estimation techniques
- Experience or basic knowledge of Matlab / Simulink or COMSOL (or willingness to learn)
- Knowledge of numerical modelling, signal processing, or machine learning
- Understanding of Li-ion battery fundamentals (SoC, SoH, cyclic and calendar aging)
We offer:
- Employment at one of Latvia’s leading research institutes with international experience
- Participation in a cutting-edge research project with real-world applications in e-mobility and energy storage
- Flexible work arrangements
- Opportunity to develop expertise in battery data analytics, modelling, and algorithm development
- Social guarantees and health insurance (for workload above 50%)
- Salary range EUR 1500–4200 (full-time equivalent), depending on experience
- Professional development and training opportunities
- A collaborative and professional working environment
