Postdoc in medical and life science data analysis, and machine learning - Hiring in process/Finished, not possible to apply

Job description

Research in collaboration with medical doctors for patient data analysis using machine learning has a high impact on public health. Medical caregivers such as doctors and nurses need to make important decisions based on observed patient data. Often the data is complex. Therefore, our objective is to use machine learning to assist the decision of medical caregivers.  We show one example: How to predict and detect an infection before visible symptoms like fever? When infections start, body parameters like breathing pattern, oxygen content, heart rate, pulses, etc. start changing. Then, can we track the body parameters and predict the infection buildup? If we can, then it saves time for medical intervention much before visible symptoms. The postdoc will directly interact with doctors at the world-renowned Karolinska Institute and Hospital. In addition, the postdoc will develop new machine learning methods for life science data analysis, such as gene regulatory networks and metabolism networks. This will be in collaboration with SciLifeLab at Stockholm.

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
• Work in Stockholm, in close proximity to nature
• 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 in electrical engineering, computer science, statistics, artificial intelligence, data analytics or allied subject areas. This eligibility requirement must be met no later than the time the employment decision is made. 
• Research expertise in machine learning, deep neural networks, time-series analysis, sparse representations.
• Teaching abilities to help in master and PhD level courses.
• In the project we will collaborate with doctors and life science researchers. Therefore, it is important to work in inter-disciplinary environments.
• Patient data analysis requires awareness of diversity and equal opportunity issues, with specific focus on gender equality.
• Independence.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree obtained within the last three years prior to the application deadline
• Good knowledge of allied mathematics and programming skills.
• We expect a positive attitude to collaborate in inter-disciplinary environment.

Great emphasis will be placed on personal skills.

Trade union representatives

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

To apply for the position

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

Others

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

For information about processing of personal data in the recruitment process please read here.

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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.