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Postdoktor inom maskininlärning för operationspatienter

Stockholm, Sweden💼 Full-time🗓 2026-05-27 → 2026-06-24

Core

Designing and implementing AI models to predict complications in surgical patients using high-frequency intraoperative data.

Role type

Postdoctoral researcher (applied machine learning)

Builds

Production-ready predictive models for clinical decision support

Domain

Healthcare / Clinical research / Machine learning

Deliverable

production ML models

Required skills

Machine learning, signal processing, applied mathematics, software implementation, experimental evaluation of deep learning architectures

Preferred skills

Supervision of student projects, experience with modern deep learning architectures

Technologies

Deep learning frameworks, patient monitoring data systems

Responsibilities

Design and conduct experiments on retrospective patient data, develop software for data processing and model training, supervise student research projects

Seniority

Postdoctoral researcher (early career academic)

Rewrite
## Responsibilities - Design, create necessary software for, and conduct experiments on retrospective patient data, including high-resolution waveform data from patient monitors, from Karolinska or equivalent open data sources. - Contribute to the development and implementation of experimental machine learning methods. - Supervise students on bachelor's and master's level projects. - Work at the forefront of applied machine learning and signal processing in clinical research. - Develop explainable, transparent, and well-calibrated AI models that can express uncertainty in predictions and detect changes over time (drift). - Collaborate closely with experts in anesthesia and machine learning within an interdisciplinary environment at KTH and Karolinska University Hospital. ## Requirements - Completed PhD or equivalent foreign degree, to be fulfilled by the time of the appointment decision. - Documented knowledge in machine learning, signal processing, applied mathematics, computer science, biomedical engineering, or related fields. - Ability to create software implementations for the purpose. - Very good written and spoken English skills required for daily work. - Interdisciplinary collaboration and communication skills, preferably within clinical research. - Awareness of diversity and equality issues with a special focus on gender equality. ## Nice to Have - Up to three years since PhD or equivalent degree was completed. - Experience with experimental evaluations using modern architectures for deep networks and other machine learning techniques. - Experience with supervising student projects and other pedagogical skills. ## Benefits - Work in an interdisciplinary environment at KTH and Karolinska University Hospital. - Opportunity to grow and develop in a creative and dynamic workplace with good working conditions and benefits. - Emphasis on personal qualities, diversity, and equal treatment as core values. KTH forms the future through education, research, and innovation. As a leading international technical university, we play an active role in driving and contributing to the transition to a sustainable society. Here, you get the opportunity to grow and develop in a creative and dynamic workplace with good working conditions and benefits. Equality, diversity, and equal conditions are a quality issue and a self-evident part of KTH's value base as a university and public authority. For information about the handling of personal data in connection with recruitment. It may be that an employment at KTH is placed in a security class. If that is the case for this particular employment, a security clearance of the applicant will be made in accordance with the Security Act (2018:585) after consent. In these cases, a prerequisite for employment is that the applicant is approved after security clearance. We decline direct contact with staffing and recruitment agencies and sellers of job advertisements.
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