Master Thesis Program
AI Sweden’s master thesis program allows students to access a range of resources, become a part of the AI Sweden network, and receive support from data scientists and other experienced team members. Alongside hands-on guidance, the program provides insight into how the organization operates. Invitations to exclusive events and networking sessions allow participants to build connections with peers and professionals.
The collaborative and dynamic environment is designed to foster the development of skilled and confident professionals. AI Sweden will open up for access to the Gothenburg office, where students are welcome to join the community.
For partners
Is your organization interested in gaining value and new perspectives from master's students at some of the top universities in Sweden?
What can partners expect?
Student-industry collaborations are mutually beneficial. They create opportunities to share new insights and points of view while building competence and expertise on both sides.
✓ Benefit from the knowledge of master students to solve current problems or dig deeper into existing tasks.
✓ Boost attractiveness to possible future employees by joining these collaborations.
✓ Opportunity to recruit students directly before they graduate.
The thesis work begins in January 2025. We will help you connect with top students.
How to take part (as a supervisor)
Register your interest by submitting the form below.
For students
Are you a passionate student looking for an opportunity to work on cutting-edge projects and develop your skills with leading experts?
Join our Master’s Thesis Program, where we offer two tracks to help you grow and succeed:
1. Supervised Track
For whom?
Students looking to do a thesis project at AI Sweden within the areas of
- Differential Privacy
- AI Security
- Space Technologies
In this track, you will receive hands-on co-supervision from one of our expert staff researchers, working closely with them on projects within our focus areas.
Applications for specific projects are closed.
2. Unsupervised Track
For whom?
Students and supervisors from one of our partner organizations who have already agreed on a thesis project.
You’ll be able to work with one (or more) of our trusted partners, gaining practical experience and industry insights.
Applications are closed for spring semester 2025.
Program Benefits
Both tracks offer:
✓ Time to work at our office, providing an inside look at an organization's operations.
✓ Invitations to exclusive events, networking sessions, and community-building opportunities with peers and professionals.
✓ Access a collaborative, dynamic environment that helps you become a skilled and confident professional.
Our Commitment to Talent
We take immense pride in working with brilliant students, many of whom have impressed us so much that we hired them directly after their thesis. Our long-standing relationships with our partners ensure that you will be embedded in an ecosystem that values growth, collaboration, and excellence.
Why Choose Us?
When partners ask why students should join us, we highlight the invaluable opportunity to learn how an organization functions and what day-to-day professional life entails. Many students have thrived here, gaining substantial professional experience and significantly boosting their value in the job market.
Words about the Master thesis program
“For me, doing a master thesis at AI Sweden was a great experience. I got connections and learnings from many different sources which I think would not be possible in many other places. From a great foundation during my thesis on security in federated learning, I got a position at AI Sweden working with partners. This was a great starting point for me and my career since I got both experiences working together with industry, learning about the standards and procedures present there, while also getting responsibilities and freedom more common in research and academic work.”
“At AI Sweden, we strive to explore novel approaches to important problems. To identify problems that matter, we have a close dialogue with our extensive partner network, and to address these problems, we often find ourselves at the machine learning research frontier. This cross-disciplinary way of working, with one leg in industry and the other in academia, has proven to be very fertile for coming up with interesting ideas that fit within the scope of a master's thesis. Over the years, we have hosted students working within broad disciplines like anti-money laundering, multimodal disease risk prediction, federated learning for autonomous driving, privacy attacks, and space exploration.
These theses have resulted in direct value to the related projects and the stakeholders therein, and several have been presented at scientific venues.”