Master thesis Leveraging AI and Machine Learning to Optimize Care Home Planning and Workflows

Stockholm, SE, 111 64

ASSA ABLOY

Die ASSA ABLOY Sicherheitstechnik GmbH steht für Sicherheit, Schutz und Komfort in privaten, gewerblichen und öffentlichen Gebäuden.

View all jobs at ASSA ABLOY

Apply now Apply later

 

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 7. Leveraging AI and Machine Learning to Optimize Care Home Planning and Workflows 
 

Senior Care is a mounting challenge across the western world, which drive the need for time and resource efficient solutions: 
 
• Aging population in Europe and North America where the senior population will increase by ~50% in 30 years. The Old Age Dependency Ration (ODAR, rate between population over and under 65 years of age) is set to almost double in the same time frame. 
 
• Staff shortages where Europe is expected to be severely short of healthcare workers by 2030. The demographic changes will make staffing increasingly difficult and on top of this there is high staff turnover in this profession. 
 
• Financial challenges leading to societies struggle to provide enough Senior Care capacity. 
 
For care organizations to give care and other services to elderly there is opportunities to improve planning, workflows and individual adaptations. Analytics and Insights are growing in this segment and are ways to improve the situation, also using AI will give additional value. 
 
What this thesis includes: 
 
In short, we would like to use data from care homes and apply analytics using Machine Learning and AI to better understand how planning, workflows and individual adaptations can be improved.   
 

Areas to investigate are for example: 
 
• Organizational efficiency related data collected in the care home that can improve performance and workflows as well as resource utilization and operational efficiency. 
 
• Individual patterns for a care recipient based on data collected in the care home. This can help identify specific needs and preferences of each resident. This includes tracking daily activities, sleep patterns and alarm events. By understanding these patterns, care homes can tailor their care plans to better meet the unique needs of each resident, thus enhancing their overall well-being. 
 
Results from the master thesis would for example be:  
 
• Create solution that detects unusual changes or emerging trends in the data and notifies automatically of these changes 
 
• Based on manual conditions, detect changes in the data that are important and when the insights are triggered shown in a dashboard 
 
• Find new interesting insights to use in the daily work of care staff 

 

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.
 

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  8  4  0

Tags: Engineering Finance Machine Learning

Perks/benefits: Career development Team events

Region: Europe
Country: Sweden

More jobs like this