Vacant job

Job Description

We are looking for a highly motivated postdoc to join our interdisciplinary research group in AI and machine learning for surgical patients.

The project focuses on the early prediction of complications using patient characteristics and high-frequency patient data from the operation. You will work at the forefront of applied machine learning and signal processing within clinical research, focusing on key aspects such as explainable, transparent, and well-calibrated AI models that can also express uncertainty in predictions and detect changes over time (drift).

The project you will be part of is rooted in an interdisciplinary environment where KTH collaborates with clinicians at Karolinska University Hospital within advanced surgery for high-risk patients. You will collaborate closely with experts in anesthesia and machine learning.

Your main tasks include designing, developing necessary software for, and conducting experiments on retrospective patient data, including high-resolution waveform data from patient monitors at Karolinska or from corresponding 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 undergraduate and advanced levels.

Qualifications

Requirements

• A completed PhD degree or a foreign degree assessed as equivalent to a PhD. This eligibility requirement must be met no later than at 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 create software implementations for the purpose.
• Very good written and oral communication skills in English, as this is required in daily work.

Personal Attributes

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

Merits

• At the latest application deadline, no more than three years have passed since the PhD degree or a foreign degree assessed as equivalent to a PhD was awarded.
• Experience with experimental evaluations using modern deep network architectures and other machine learning techniques.
• Experience in supervising student projects/theses and other pedagogical skills.

We will place great emphasis on personal attributes.

Join KTH

KTH shapes 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 are offered the opportunity to grow and develop in a creative and dynamic workplace with good working conditions and benefits. Gender equality, diversity, and equal opportunities are quality issues and a clear part of KTH's values as a university and a government agency.

Read more about our benefits and what it is like to work and develop at KTH.

Union Representatives

Contact details for union representatives.

Application

You apply via KTH's recruitment system. As an applicant, you are primarily responsible for ensuring your application is complete when submitted.

The application should include:

• CV including relevant professional experience and knowledge.
• Copies of degree certificates and transcripts from your previous university studies. Translations into English or Swedish if the original documents are not issued in either of these languages.
• A concise statement on why you wish to conduct research, your academic interests, and how they relate to your previous studies and future goals. Max 2 pages long.

The application must be received by KTH no later than the last day of application at midnight, CET/CEST (Central European Time/Central European Summer Time).

About the Position

The employment is permanent, but for a maximum of two years.

A postdoc position is a time-limited merit-based appointment with a main focus on research, intended as a first career step after the PhD defense.

Other Information

For information on the processing of personal data in connection with recruitment.

It may occur that a position at KTH is classified for security reasons. If this applies to this specific position, a security clearance check will be conducted on the applicant in accordance with the Security Protection Act (2018:585) with consent. In such cases, a prerequisite for employment is that the applicant is approved after the security clearance check.

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