How do I apply for the Intern - Energy Management System Development & Battery Optimization position at Huawei Austria and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Intern - Energy Management System Development & Battery Optimization role?

This position is a not disclosed, structured as a not disclosed role.

What educational background or degree level is required for the Intern - Energy Management System Development & Battery Optimization at Huawei Austria?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master, PhD.

Does Huawei Austria provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Intern - Energy Management System Development & Battery Optimization

Huawei Austria

Found 2 months ago

Location

Nuremberg, Germany

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

Python
Modelica
optimization
AI/ML
Big Data
SoX estimation
LFP batteries

Soft Skills

motivated student
team spirit

Job Description

We are looking for a motivated student to support our Energy Management System (EMS) development for battery energy storage applications, especially in large-scale utility and C&I contexts. The role includes utilizing high-level battery system models and controllers, advancing control functions, and validating optimization and AI-driven algorithms under real-time operating conditions.

Requirements

Bachelor/Master/PhD student in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, or a related field
Good understanding of renewable power/energy systems and battery operation
Solid understanding of optimization concepts to support algorithm development
Experience with Python, Modelica or equivalent modeling and simulation environments
Linux system use experience is a plus
Experience in SoX estimation approaches (SoC/SoH/SoP/SoE) for LFP batteries is a strong plus
Familiarity with optimization or AI/ML frameworks is an advantage
Fluent in written and spoken English language

Electrical Engineering

Power Systems Engineering

Languages

English

Nice to Haves

AI/ML and Big Data skills are a plus
Linux system use experience is a plus
Experience in SoX estimation approaches (SoC/SoH/SoP/SoE) for LFP batteries is a strong plus
Familiarity with optimization or AI/ML frameworks is an advantage

Apply Now

4Open Positions