Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Dive into machine learning for battery management systems and tackle real-world challenges.
- Arbeitgeber: Join a dynamic international team focused on innovative software engineering solutions.
- Mitarbeitervorteile: Gain hands-on experience, flexible hours, and the chance to work on your thesis.
- Warum dieser Job: Make an impact in tech while collaborating with experienced engineers in a fast-paced environment.
- Gewünschte Qualifikationen: Studying data science, computer science, or mechatronics; knowledge of AI tools is a must.
- Andere Informationen: Fluency in English and German required; Chinese is a plus!
As a Working Student in Machine Learning , you will take on a lot of responsibility right from the start and
work in our Software Engineering team on the pre-development of battery management systems (BMS) and support the establishment of a development platform for a battery management system.
Your abilities:
- You are currently studying data science, computer science, mechatronics or a comparable course of study.
- You have good knowledge in working with common AI tools like Python, TensorFlow/PyTorch or Matlab/Simulink.
- You are fluent in English and have a good knowledge of German; knowledge of Chinese is an advantage.
- You are independent and communicative, and you enjoy working in a dynamic international team.
Your tasks include:
- Development of machine learning methods for State of Health (SOH) and aging parameter estimation (e.g., internal resistance, capacity) for lithium-ion batteries.
- Feasibility studies for anomaly detection of internal short circuit (e.g., lithium plating) to prevent thermal runaway by predictive maintenance measures.
- Setting up pipelines to preprocess data from different sources (data logger, vehicle telematics, or virtual battery model).
- Support in setting up the development platform for a battery management system (BMS).
- Support in setting up a continuous integration (CI) environment for software testing in the Model-in-the-Loop (MIL) domain.
Also for the bachelor or master thesis
You can also perform the listed tasks as part of the final thesis of your studies and learn from experienced software and system engineers in the process!
#J-18808-Ljbffr
Working Student (all genders) Machine Learning Arbeitgeber: Microvast Holdings, Inc.
Kontaktperson:
Microvast Holdings, Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working Student (all genders) Machine Learning
✨Tip Number 1
Make sure to showcase your experience with AI tools like Python, TensorFlow, or PyTorch in your conversations. Highlight any projects you've worked on that involved these technologies, as this will demonstrate your practical knowledge and readiness for the role.
✨Tip Number 2
Since the position involves working in a dynamic international team, practice discussing technical concepts in both English and German. This will help you communicate effectively during interviews and show that you're comfortable in a bilingual environment.
✨Tip Number 3
Familiarize yourself with battery management systems and the specific challenges they face, such as thermal runaway and internal short circuits. Being knowledgeable about these topics will allow you to engage in meaningful discussions and demonstrate your genuine interest in the field.
✨Tip Number 4
If you have any experience with continuous integration (CI) environments or data preprocessing pipelines, be ready to discuss it. Sharing relevant experiences can set you apart from other candidates and show that you are proactive and well-prepared for the responsibilities of the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working Student (all genders) Machine Learning
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and tasks associated with the Working Student position in Machine Learning. Familiarize yourself with battery management systems and the specific machine learning methods mentioned in the job description.
Highlight Relevant Skills: Emphasize your knowledge of AI tools like Python, TensorFlow/PyTorch, or Matlab/Simulink in your CV and cover letter. Provide examples of projects or coursework where you've applied these skills.
Showcase Language Proficiency: Since fluency in English and good knowledge of German are required, make sure to mention your language skills clearly. If you have knowledge of Chinese, don't forget to include that as well!
Tailor Your Application: Customize your CV and cover letter to reflect how your studies and experiences align with the tasks listed in the job description. Mention your ability to work independently and in a team, as well as your enthusiasm for dynamic environments.
Wie du dich auf ein Vorstellungsgespräch bei Microvast Holdings, Inc. vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI tools like Python, TensorFlow, or PyTorch. Bring examples of projects you've worked on that demonstrate your ability to develop machine learning methods, especially in the context of battery management systems.
✨Demonstrate Your Problem-Solving Abilities
Think about specific challenges you've faced in your studies or projects related to anomaly detection or predictive maintenance. Be ready to explain how you approached these problems and what solutions you implemented.
✨Highlight Your Communication Skills
Since you'll be working in a dynamic international team, it's important to show that you can communicate effectively. Prepare to discuss how you've collaborated with others in past projects and how you handle feedback.
✨Express Your Enthusiasm for Learning
Mention your eagerness to learn from experienced engineers and how you see this position as an opportunity to grow. Discuss any relevant coursework or self-study you've undertaken to prepare for this role.
