Master thesis - Evaluating Large Language Models for Optimized AI Solutions

About the thesis 

Are you a master’s student within engineering, finance or law looking for an innovative company to collaborate with on your master’s thesis during the spring semester of 2025? Look no further.  
 
ASSA ABLOY is the global leader in access solutions and provides the latest technologies to give access to physical and virtual spaces for millions of people every day. Joining ASSA ABLOY means being part of a fast-moving and highly innovative company with diverse opportunities in more than 70 countries worldwide. 
 
What can you expect as a master’s thesis intern at ASSA ABLOY? Cutting edge technology, a steep learning curve, dedicated supervisors from within the enterprise, a group of fellow master's thesis students to share the experience with – and much more. 
 
We have an exciting range of subjects. Please remember to indicate in your application if you're interested in other subjects as well, and mark them in your order of preference. Please also let us know your thoughts on how you would approach the subject. Please note that most of your work will be done at our site in Liljeholmen, Stockholm.   
 

While we aim to support all proposed thesis subjects, we may need to change or cancel a project due to unexpected circumstances.  
 

Master thesis nr 11. Evaluating Large Language Models for Optimized AI Solutions 

As advancements in Artificial Intelligence (AI) accelerate, Large Language Models (LLMs) are unlocking new capabilities in e.g. automation, customer support, and decision-making.  
 
At ASSA ABLOY, we are interested in analysing the performance potential of these models across various applications. 
 

This Master's thesis project aims to conduct a detailed performance evaluation of selected LLMs to determine their suitability for ASSA ABLOY’s operational needs. The focus will be on: Assessing model accuracy across key tasks such as text summarization, information retrieval, and conversational support, measuring response time and computational efficiency to gauge model scalability for high-volume use cases, and comparing models to identify the optimal trade-offs between performance metrics like accuracy and speed. 

 
This position is ideal for two students with a background in machine learning, computational efficiency, and performance benchmarking.  
 
The candidate should be adept at quantitative analysis and excited to contribute to high-impact AI performance projects. 

 
We look forward to receiving your application with your resumé and university grades and hearing your ideas on how you would approach this subject!  

We are the ASSA ABLOY Group
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 61,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access. 

As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.

As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.