Two Postdoc positions in AI-based medical and life science data analysis

Job description

Research in collaboration with medical doctors for patient data analysis using machine learning has a high impact on public health for the vision of Digitalization in Health Care. Medical care givers such as doctors and nurses need to take important decisions based on observed patient data. Often the data is complex. Therefore, our objective is to use machine learning for assisting the decision of medical caregivers.  We show two concrete examples as postdoc projects:

1. 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.
2. Medical doctors often face difficulty to choose a set of medicines from many options available for a patient. Medication is expected to be disease-specific as well as person-specific. Individual patients may respond differently to the same medication, so the selection of medication should be personalized to everyone’s needs and medical history. The question is: how AI can help doctors to identify existing medications and/or therapies that can be repurposed for the treatment of a disease? In this scope, we work with dementia patients.

In this project the postdocs will collaborate with doctors at world-renowned Karolinska Institute and Hospital. In addition, the postdocs will develop new AI / 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. This eligibility requirement must be met no later than the time the employment decision is made. Doctoral degree should be preferably in mathematics, electrical engineering, engineering physics, bioinformatics, computer science, statistics, artificial intelligence, data analytics, biomedical engineering or allied subject areas.
• Research expertise in statistics, machine learning, deep neural networks, time-series analysis, topological data analysis, sparse representations.
• Teaching abilities to help for 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.
• Sweden is highly gender equal country. Patient data analysis also requires awareness of diversity and equal opportunity issues, with specific focus on gender equality.
• We expect an attitude to collaborate in inter-disciplinary environment

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Good knowledge of applied mathematics and programming skills such as Matlab and / or Python.

Great emphasis will be placed on personal skills.

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. 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.

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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.

About KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here

1. Saikat Chatterjee, Associate professor, sach@kth.se
2. Anna Mård, HR Officer, rekrytering@eecs.kth.se