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Job-Art: Wissenschaftliche Jobausschreibungen

Junior Researcher Automotive Battery/Artificial Intelligence (m/f/d)

Artificial Intelligence, Automotive Battery


Your Tasks

- Work and research on the topic of Artificial Intelligence in the automotive battery group at Virtual Vehicle.

- Collaboration in the project “Explainable Battery Capacity Estimation”.

- Data-driven model development for the state-of-health (SoH) estimation of automotive batteries.

- Analysis of the capability, robustness, and adaptability of several machine learning network architectures by the utilization of Explainable AI methods.


Your Profile

- Master’s in mathematics, data science, informatics, telematics, or similar.

- Basic knowledge: Data science, Neural Networks.

- Basic programming skills: Python or Pytorch, Linux, Git.

- Knowledge in machine learning frameworks: supervised machine learning for time series.

- Independent, goal-oriented, and structured way of working.

- Team player with a proactive approach.


What's in it for you

- A highly varied and diverse range of tasks in an international research center.

- Possibility for a dissertation with permanent contract.

- Collaboration and contributions in an engaged, dynamic team.

- Flexible working hours and home office possible occasionally.

- Hardware: High performance and parallel computing on the Virtual Vehicle GPU server.

- Contractually secured home office models and individual time management that offer you the flexibility you need.

- An environment with flat hierarchies that gives you the freedom to take on responsibility and allows for crea-tive collaboration.

- Personal and professional development opportunities on any career level.

- Welcome Day for new employees’.

- Mentoring program for new employees’.

- Sports and health promotion activities, including weekly yoga, company runs and medical check-ups.

- Corporate events.


The minimum annual salary, depending on qualification and classification, is EUR 36,890 gross (fulltime). An overpayment is possible and depends on qualification and the present special experience


Contact: Barbara Cappello | +43 316 873 9028 | Inffeldgasse 21a, 8010 Graz | www.v2c2.at


Name: Barbara Cappello
Telefon: +43 316 873 9028

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