The Department of Decision and Control Systems is looking for up to two research engineers with a strong background in machine learning and LLMs, computer science, and modeling.
The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH Industrial Collaboration Pilot Project". The project will be carried out in collaboration with Assistant Professor Angela Fontan (KTH/EECS) and Associate Professor Kjartan Gudmundsson (KTH/ABE), with the support and contributions from EM through discussions, workshops, and project updates.
The project is inspired by Einar Mattsson's goal of utilizing AI to optimize maintenance planning in existing buildings, using historical and real-time data to identify the ideal timing and scope for renovations or changes in materials; this initiative aims to reduce costs while promoting the sustainability of the built environment and supporting comfort for building users. The goal of the project is to identify the key drivers of building maintenance costs and develop accurate cost predictions for various types of residential buildings through data collection and analysis.
The tasks will include developing an AI-accessible knowledge space (by structuring extracted invoice, service request, and maintenance data), and, most importantly, designing an AI chatbot (able to interact and understand Swedish and Swedish slang) to enable users to efficiently query the data.
Requirements
Personal skills
Preferred qualifications
Great emphasis will be placed on personal skills.
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it's like to work and grow at KTH.
Contact information to trade union representatives.
Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.
The application must include:
Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The employment is valid for a limited time according to the agreement - for up to 3 months, with access according to agreement.
For information about processing of personal data in the recruitment process.
It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.
We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.
Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
| Type of employment | Special fixed-term employment |
|---|---|
| Contract type | Part-time |
| First day of employment | According to agreement |
| Salary | Månadslön |
| Number of positions | 1 |
| Full-time equivalent | 100% |
| City | Stockholm |
| County | Stockholms län |
| Country | Sweden |
| Reference number | PA-2026-0701 |
| Contact |
|
| Published | 27.Feb.2026 |
| Last application date | 19.Mar.2026 |