Job Information
- Organisation/Company
- Mercedes-Benz Group
- Research Field
- Computer science
- Researcher Profile
- Recognised Researcher (R2)
- Country
- Germany
- Application Deadline
- Type of Contract
- To be defined
- Job Status
- Full-time
- Hours Per Week
- To be defined
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Aufgaben Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, the vehicle manufacturer is one of the largest suppliers of premium and luxury cars and vans.
As part of the Future Software & AI department, the AI Research Team researches current topics relating to artificial intelligence and applies the results to use cases from a wide range of specialist areas within the Group
We develop future concepts, technologies and components for Mercedes-Benz Cars and Mercedes-Benz Vans. We evaluate the latest technologies for our customers and for development. Our goals are innovative products of the highest quality and efficient development processes
You will face these challenges:
- Development of internal AI solutions such as virtual AI sensors for estimating non-measurable system states
- Development of learning approaches, particularly in the area of reinforcement learning
- Use of AI methods to reduce differences between simulation and reality
- Validation and comparison of the developed methods
- Completion of a master's thesis
The final topic will be determined in consultation with the university, you and us
Qualifikationen
- Degree in computer science, artificial intelligence, engineering, mathematics or a comparable course of study
- Experience in working with scikit-learn and ML frameworks (e.g. tensorflow, pytorch, stable baselines etc.)
- In-depth knowledge in the field of artificial intelligence (especially machine learning & deep learning & reinforcement learning)
- Strong Python knowledge and experience
- Analytical mindset and strategic way of working
- Reliability and accuracy in the execution of work
- Confident knowledge of German and English
Additional information:
Of course, we cannot do without formalities. Please apply online only and enclose a CV, current certificate of enrollment stating the semester of study, current transcript of records, relevant certificates (max. total size of attachments 5 MB) and mark your application documents as "relevant for this application" in the online form.
Further information on the recruitment criteria can be found"here"
Nationals from countries outside the European Economic Area should send their residence/work permit with their application
We particularly welcome online applications from severely disabled persons and persons with equivalent disabilities. If you have any questions, you can also contact the site's representative for severely disabled employees at SBV-Sindelfingen@mercedes-benz.com, who will be happy to support you in the further application process after your application
Please understand that we no longer accept paper applications and that there is no entitlement to return postage
If you have any questions about the application process, please contact HR Services by email at hrservices@mercedes-benz.com or use the chat bot on our careers page via the speech bubbles at the bottom right
Requirements
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Mercedes-Benz Group
- Country
- Germany
- Geofield
Where to apply
- Website