Master Thesis Program
In the spring of 2023, the Master Thesis Program welcomed students from Chalmers University of Technology, the Swedish University of Agricultural Sciences, Gothenburg School of Economics, and partners including Centiro, RISE, Zenseact, SLU, Recorded Future, Volvo Cars, and AstraZeneca. We are now ready for a new round starting in January 2024 and are looking to start the program in Gothenburg, Linköping, Luleå, Lund and Örebro.
Drawing upon the valuable insights shared by students and the wealth of experience gained from previous program cycles, we aim to provide support to the new cohort of students in some of the tasks that are well-known for being commonly overlooked. We invite the students to a series of workshops (once a month from February to April) to help them develop their soft skills, such as giving a talk and writing a master thesis. They will be welcomed into our offices for the period of their thesis work and we will offer a quiet space, access to our infrastructure and technical support, not to mention a friendly environment.
Is your organization interested in gaining value and new perspectives from masters students at some of the top universities in Sweden?
How to take part (as a supervisor)
Please register your interest by sending an email with a description of your suggested topic for one or more master theses to firstname.lastname@example.org and email@example.com and post it on My.AI under Resources/Master Thesis Proposals by October 31.
The description should include:
- Name of the project
- Short description of the topic
- Your organization
- Your contact person and email address
- Preferred student background
- Preferred location
The thesis work will begin in January 2024. We will help you spread the word and recruit the best students for your project.
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.
How to take part (as a student)
If you already have an AI-related thesis, express your interest in the program by sending your application.
We rarely provide master thesis projects from AI Sweden, but encourage you to go to My AI to find suggestions from partners and other organizations in the AI ecosystem. You will find suggestions under Resources - Master Thesis (Resurser - Exjobbsförslag). The page will be updated with new proposals regularly.
If you are looking for a thesis topic/project, go to My.AI under Resources/Master Thesis and contact the reference person of the master thesis project that interests you and hopefully, we will see you around in January. Once you find a project, send your application to participate in the program here.
What can candidates expect?
- Valuable experience from working with real projects and applying theoretical knowledge.
- A community where you can benefit from each other’s experiences and challenges in different organizations and sectors.
- Attend exclusive events, lectures, and other activities.
- Working with the best in the field across Sweden.
About the program
Students who enter the program work on the topics that matter most to partners and sit at one of our locations. They benefit from events and seminars from AI Sweden experts during the spring focused on growing their soft skills and providing extra support on common struggles, such as the writing process and defining and sticking to the research question that they want to address in their thesis work. Last but not least, they will have access to the Data Factory, the Edge Learning Lab and DGX A100, and other resources.
In spring 2022 the cohort welcomed students from Chalmers and SLU, and partners including Zenseact, SLU, Unibap, Volvo, and AstraZeneca. Some of the dissertations picked up on challenges and created greater awareness within topics such as cyber security, both at partners and AI Sweden.
"This is a great example of a low risk, low effort initiative, where organizations can explore and develop new areas." - Kim Henriksson, Project Manager at AI Sweden’s Edge Lab