Thesis Work – Robotics for Digital Inspections in the Nuclear Power Industry

Are you a student looking to apply your knowledge to real-world solutions that support the energy transition? With us, you will have the opportunity to complete your thesis project close to the business, working alongside experienced specialists and tackling challenges where your ideas and perspectives can make a real difference.

At Vattenfall R&D, we explore how robotics and digital technologies can make inspections of energy facilities safer, more efficient, and more data-driven. Within Digital Inspections, we investigate the use of autonomous robots, drones, sensor technology, and data analytics in industrial environments.

We are now looking for a Master's thesis student to contribute to the development and evaluation of robot-based inspection solutions. The thesis topic will be defined together based on your interests, background, and our ongoing research needs.

Possible areas of focus include:

• Robot-based inspection methods
• Autonomous navigation in industrial environments
• Sensor integration and data collection
• 3D mapping and localization
• Computer vision and anomaly detection
• AI and machine learning for inspection data analysis
• Automated inspection routines
• Development of software, algorithms, or robotic prototypes
• Practical testing and evaluation using robotic platforms

The project will have a strong practical focus and may involve programming, algorithm development, testing, data collection, and validation using real robotic systems. Alternative thesis topics within digital inspections and robotics can also be discussed.

Scope: 30 ECTS credits

We are looking for a student who are about to complete their academic studies and are eager to apply their knowledge in a real-world setting through a thesis project at Vattenfall. You are someone who shares our values and identifies with our principles: Active, Open, Positive and Safety.

• Master's student in Robotics, Mechatronics, Electrical Engineering, Computer Science, Engineering Physics, or similar.
• Strong interest in robotics and autonomous systems.
• Programming skills in Python and/or C++.
• Knowledge of AI, sensors, navigation, or computer vision.
• Able to combine theoretical knowledge with practical development.
• Self-driven with strong collaboration and problem-solving skills.
• Experience with ROS/ROS2, SLAM, simulation, or robotic platforms is considered a plus.

• Start date: 2027 January/February
• Location: Älvkarleby laboratory
• Application – Submit a single file containing your CV and a copy of your academic transcripts. Please note that only one file can be uploaded with your application, so it is important that all required information is combined into the same document.
• Application deadline: 2026-10-18
• Contact person and supervisor at Vattenfall: Anders Lindström, anders.lindstrom@vattenfall.com, +46 70 600 15 18

Diversity and Inclusion – In Everything We Do 

At Vattenfall, we value being Active, Positive, Open, and Safety-conscious. We are looking for employees who share our vision and can contribute to strengthening our company culture. We believe that diversity helps build a more successful and attractive company, and we strive to be role models in diversity and inclusion. Vattenfall actively works to ensure that all employees have equal opportunities and rights, regardless of age, ethnic or cultural background, gender identity, religion or belief, sexual orientation, or disability. Read more about how we work with diversity and inclusion here. 

Vattenfall is part of Sweden’s critical infrastructure, and many of our positions are therefore classified from a security perspective. If this position is security-classified, a security screening will be conducted prior to employment in accordance with the Swedish Security Protection Act.

Vattenfall is a leading European energy company serving approximately 12 million customers and employing around 21,000 people. We believe there is a way to build a future where everyone can choose fossil-free ways to move, make, and live.