YOUR RESPONSIBILITIES:
1. Literature research: Identify the state-of-art for the specific applications and rank most relevant architectures/techniques
2. Data preparation and pre-processing: Utilize time series analysis and aggregation techniques to create a pipeline for feature engineering during charge cycles. Selection of the target variables
3. Data segmentation: Prepare sample of data from existing experimental datasets for training the models
4. Comparison and ablation study: Establish a set of baseline methods MLP, RNN, LSTM) that will be used for comparison purposes
5. Final model evaluation: Utilize the trained models for final evaluation in both experimental and real-world data
6. Sensitivity analysis: Utilize Explainable-AI methods to pinpoint influencing factors and explain model’s outputs
YOUR PROFILE:
7. BSc in domains similar to Applied Statistics/Mathematics, Computer Science, Data Science, Automotive or Electrical Engineering
8. Strong background in data analysis, deep learning, and time series prediction
9. Proficiency in programming languages such as Python for implementing data analysis algorithms
10. Familiarity with statistical methods and transformers (LLMs)
11. Ability to work independently, conduct experiments, and analyze complex data sets
12. Excellent problem-solving and critical-thinking skills
13. Strong communication skills to present findings and recommendations effectively
14. Occasional presence in Graz
WE OFFER:
15. You can write your thesis independently and receive professional guidance and support from our experienced employees.
16. You will have the opportunity to exchange ideas with experts in the company and benefit from their expertise.
17. Take the opportunity to immerse yourself in the world of AVL and embed your theoretical knowledge in a practical environment.
The successful completion of the thesis is remunerated with a one-time fee of tax.
You don't want to write your final thesis just for the books, then explore the mobility of the future together with us! Maybe you will be a part of it soon!
At AVL, we foster and celebrate diversity: We recognize that diverse ways of thinking are required to achieve our vision of a greener, safer, and better world of mobility. Different backgrounds, attitudes, interests, and experiences make us successful. As Equal Opportunity Employer we consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation or disability status.