Postdoc in machine learning for surgical patients

Job description

We are seeking a highly motivated postdoctoral researcher to join our interdisciplinary research group in AI and machine learning for surgical patients. The project focuses on early prediction of complications using patient characteristics and high-frequency patient data from surgery. You will work at the forefront of applied machine learning and signal processing in clinical research, addressing key aspects such as explainable, transparent and well-calibrated AI models that can express uncertainty in predictions and detect changes over time (drift).

The project is anchored in an interdisciplinary environment where KTH collaborates with clinicians at Karolinska University Hospital in complex surgery for high-risk patients. You will work closely with experts in anesthesia and machine learning.

Your main responsibilities will include designing, developing the necessary software for, and conducting experiments on retrospective patient data, including high-resolution waveform data from patient monitors, from Karolinska or equivalent open data sources. You are also expected to contribute to the development and implementation of experimental machine learning methods, as well as supervise students at the undergraduate and graduate levels.

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
• Documented knowledge in machine learning, signal processing, applied mathematics, computer science, biomedical engineering, or related fields.
• Ability to independently develop software implementations for the purpose.
• Excellent written and oral communication skills in English as it is required in the day to day work.

Personal skills

• Interdisciplinary collaboration and communication skills, preferably within clinical research.
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Experience in experimental evaluations using modern deep learning architectures and other machine learning techniques.
• Experience in supervising student projects/thesis work and other teaching abilities.

Great emphasis will be placed on personal skills.

Join us at KTH

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.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

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:

• CV including relevant professional experience and knowledge.
• 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.
• 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 at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Other information

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.

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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.