We are seeking a Research Engineer for the CARE-AI project, a collaborative initiative between KTH (EECS) and Region Stockholm (Södersjukhuset). You will build and maintain secure data pipelines (ETL) to ingest and link large-scale, pseudonymized health datasets from the TakeCare, VAL, and LISA registries. Duties include optimizing and scaling the project’s machine learning codebase, incorporating causal models and the CARE-Sim simulation engine. You will develop and integrate the software interface for a clinical decision support system and provide technical support during a 12-month clinical trial rollout in primary care. You will act as the primary technical liaison between KTH researchers and the clinical team at Södersjukhuset.
Requirements
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A master's degree (advanced level) in Computer Science, Software Engineering, or equivalent competence.
- Strong proficiency in Python and practical experience with Git, CI/CD, and Docker.
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Experience building and maintaining data pipelines (ETL) for complex datasets.
- Professional proficiency in English, both written and spoken, as it is required in the daily research environment.
- As a person, you have strong collaborative abilities, are independent, structured, communicative, and possess analytical problem-solving skills.
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Subject-related skills
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Professional skills
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Awareness of diversity and equal opportunity issues, with specific focus on gender equality
Preferred qualifications
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Advanced-level education or coursework in Artificial Intelligence and Machine Learning.
- Experience with deep learning frameworks (PyTorch or TensorFlow), Transformer models, or Causal AI.
- Experience handling Electronic Health Records (e.g., TakeCare) or medical health registries.
- Experience with software integration in clinical environments or collaboration between academia and healthcare.
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.
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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:
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CV including relevant professional experience and knowledge.
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Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
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Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long.
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 12 months, with access according to agreement.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Anställningsform: särskild visstidsanställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100% | Ort: Stockholm | Län: Stockholms län | Land: Sweden | Referensnummer: PA-2026-2253 | Kontakt: Karl Henrik Johansson , Karl Henrik Johansson , | Publicerat: 2026-06-12 | Sista ansökningsdag: 2026-06-21
