Mandatory Internship Data Analysis & ML Model Research for Automotive Systems

Tasks

This internship is the foundational first phase of an innovative project aimed at developing a machine learning-based "Load Profile Generator" for vehicle E/E powernet simulations. Your mission is to analyze our rich datasets of vehicle operational data and conduct the critical research needed to select the optimal ML architecture for this task.
The results of your internship will directly inform and enable a subsequent Master's thesis project focused on model implementation and integration.

• During your internship you will dive deep into large time-series datasets from vehicle measurements to understand underlying patterns, distributions, and characteristics of vehicle power consumption.
• Furthermore you will develop as well as implement robust scripts and workflows for cleaning, transforming, and preparing the raw data into a structured format suitable for ML model training.
• You will identify and create meaningful features from the time-series data that will enhance the performance of a future generative model.
• Gain experience in conducting a comprehensive literature review and comparative analysis of state-of-the-art machine learning models for synthetic time-series generation (eg, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), RNNs, Transformers).
• Lastly you will conclude your internship by preparing a detailed report and presentation that summarizes your data findings and provides a well-reasoned recommendation for the most promising ML model architecture and data strategy to be pursued in the next phase.

profile

• Education: studies in the field of Electrical Engineering, Data Science, Computer Science, Statistics, or comparable with a strong analytical focus
• Experience and Knowledge: good programming skills in Python or Matlab and experience with data analysis libraries such as Pandas, NumPy, and Matplotlib/Seaborn; A solid theoretical understanding of data analysis techniques and fundamental machine learning concepts; A keen interest in researching and comparing different algorithmic approaches; First-hand experience with ML frameworks (eg, scikit-learn, TensorFlow, PyTorch) is a plus; Familiarity with time-series data analysis
• Personality and Working Practice: you are able to analyze situations in depth and investigate complex relationships; you approach problems in a structured and methodical way to find effective solutions; you work independently and always document your results clearly and comprehensibly
• Work Routine: office attendance required
• Languages: business fluent in English or/and German

Things to know about the job

Start: according to prior agreement
Duration: 3 - 6 months (confirmation of mandatory internship required)

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Work #LikeABosch starts here: Apply now!

#LI-DNI

Application information

As long as this position is advertised in our job portal, we are looking for suitable candidates.

For data protection reasons, applications are only accepted via our application portal. We regret that we cannot consider applications submitted by email or post.

Financial Benefits: “I don’t pay good wages because I have a lot of money, but I have a lot of money because I pay good wages.” – Robert Bosch, 1931. We at Bosch still live by this principle today: In addition to attractive salaries, we offer many additional financial benefits, such as bonuses for our collective contribution to the company's success, individual performance-based pay, and private and company pension plans. Our employees can also look forward to discounts: Besides access to benefit portals with discounts for numerous online shops and services, they naturally also benefit from special conditions on Bosch products.

Welcome to Stuttgart-Weilimdorf

At our Stuttgart-Weilimdorf site, we work on comprehensive, software-intensive systems for future vehicle architectures and components for vehicle electrical and electronic systems. The business unit's product portfolio includes components such as environmental sensors and vehicle computers, as well as driver assistance and interior monitoring systems, and systems for automated driving and parking. At Bosch Security Systems, we collaborate with our customers and partners on various products, including video security, intrusion detection, fire alarm, and voice alarm systems, as well as access control and management systems. Professional audio and conference systems for transmitting voice, sound, and music complete our offering. Furthermore, our employees from the Mobility Electronics business unit, AIG Planungs- und Ingenieurgesellschaft mbH, and Robert Bosch Venture Capital GmbH also work in Stuttgart-Weilimdorf.

Learn more about the location

Welcome to Bosch

At Bosch, we shape the future with high-quality technologies and services that inspire and improve people's lives. Our promise to our employees is unwavering: We grow together, enjoy our work, and inspire one another. Welcome to Bosch.

Robert Bosch GmbH looks forward to receiving your application!

Any questions? We're happy to help! Technical Support for Job-Related Questions? Lin Shen (Functional Department) has the answers. +49 711 811 19156