If you really want to make a difference – make it with us

Siemens Mobility is a separately managed company of Siemens AG and has been a leading supplier in the field of mobility for over 160 years. Our core business includes rail vehicles, rail automation and electrification solutions, turnkey systems and related services. We have always been very innovative in making traveling faster, safer and more comfortable. Today, we need new solutions to new challenges such as climate change and rising populations worldwide. That's what drives us. That's why we shape mobility with passion, always being one step ahead. Through digitalization, we make infrastructures smart and create opportunities that get us from A to B sustainably and seamlessly. Our 39,800 employees are pioneers in mobility who help to keep the world moving.

The utilization of Large Language Models (LLMs) in the context of our high-tech urban rail systems can help us significantly increase efficiency in our daily work in terms of development and project execution. It is crucial that these AI systems generate highly accurate responses and avoid the well-known phenomenon of hallucination. The reflection of LLM is an important approach in the field of Generative AI used to improve the accuracy and reliability of LLMs in order to avoid hallucination.

 
As part of a master thesis, reflection techniques for various models in the context of our systems will be implemented. The models will be tested in real-time and in an operational environment. In close cooperation with our system experts, the results will be scientifically analyzed, and different approaches will be evaluated.

 

What do you contribute?  

Tasks you can work on as part of your thesis:

Analyze LLMs in our system environment and the requirements for system optimization. Development of algorithms using LLM/reflection technology including the finetuning of the LLM. Evaluation of different approaches in real-time environment. Investigate the combination of LLM and Knowledge Graph. Investigate how different models can communicate with each other.  

What do you bring along?

You are an enrolled student in Computer Science or a related discipline. You have advanced ability in Python programming and Data Science. Additionally, you have prior Knowledge in Artificial Intelligence and Machine Learning, ideally in the field of LLMs. You have a good command of German and English.

You can write your thesis in German, English or bilingually. If you would like to complete a compulsory internship in advance, this is also possible by arrangement.

 

What do we offer you?

Inclusion & Diversity

At Siemens Mobility, we're committed to fighting injustice and inequality. At our company, you will find an environment where you can be yourself and belong.

Purpose

We are pioneers in mobility. At Siemens Mobility, you will actively contribute to the transformation of transportation and climate protection in a market of the future, because our transportation solutions reduce CO2 emissions all over the world.

Mobile working /Remote working

With us, you will have the opportunity to work hybrid. This means that you can work remotely to a considerable extent. We have officially regulated this through a company agreement.

 

You can find an overview of our benefits here.

 

How do you get in touch with us?

www.siemens.de/mobility
if you would like to find out more about Siemens Mobility before applying.
www.siemens.com/global/en/company/jobs/faq.html
if you would like to obtain more information about the application process.
+49 (9131) 17 5243-0
if you would like to clarify further questions about the position via our applicant hotline.
www.siemens.com/mobility-jobs
if you would like more information about jobs and careers at Siemens.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

The contact person handling this job ad is Ms. Julia Greff.