Postdoc in in machine learning for surgery - Hiring in process/Finished, not possible to apply

Job description

The Division of Health Informatics and Logistics is now looking for a Postdoc for a project in artificial intelligence aimed at clinical patient data from surgery. You will participate in research, development and validation activities together with a medical technology company and a university hospital. In the project, we develop methods for predicting hypotension, a sudden drop in blood pressure, in patients undergoing major surgery. The work involves developing and validating fully automated algorithms, methods, and software for this. Often based on machine learning, such as deep neural networks on waveform data from high-resolution physiological signals from patients. The goal is to improve the prediction to the degree where it becomes clinically useful in anesthesia/surgery. We work closely with Karolinska University Hospital to be able to validate the developed methods under real circumstances and according to actual clinical needs.

Within the framework of this postdoctoral position, you are expected to work with and contribute to research regarding artificial neural networks, sensor fusion, signal processing, noise reduction, etc. Up to 20% of the working time may be dedicated to research project management and submissions, and teaching support.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• A cross-disciplinary environment together with leading universities, university hospitals, and global companies in MedTech.
• Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

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.
• Demonstrated knowledge in machine learning, signal processing, applied mathematics, computer science, medical technology, or related subjects
• The candidate must be able to demonstrate experience in software development and experimental research
• Ability to work in teams
• Have a great eye for details

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline

• Experience with experimental research using modern architectures for deep neural networks or other types of machine learning techniques
• Research expertise
• Teaching abilities and experience of supervising student thesis projects
• Demonstrated inter-disciplinary collaborations
• Ability to work independent
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality
• We do not expect great medical knowledge from the candidate, but it is of course meritorious

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

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

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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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.