Postdoc in explainable AI for health

Updated: 26 days ago
Job Type: FullTime
Deadline: 31 May 2024

4 May 2024
Job Information
Organisation/Company

KTH Royal Institute of Technology
Research Field

Computer science » Other
Researcher Profile

Recognised Researcher (R2)
Country

Sweden
Application Deadline

31 May 2024 - 21:59 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

38
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description
Job description

We are looking for a postdoctoral fellow in explainable artificial intelligence (XAI) with applications in health. A concrete goal is to develop and design interpretable machine learning methods to predict and classify asthma and exacerbation of asthma. The aim is to improve respiratory health by designing person-centered AI support in asthma diagnosis and management where the XAI algorithms help guide decisions and provide individualized treatment plans.

The project is a collaboration between KTH Digital Futures, Karolinska Institute, Karolinska University Hospital and Stockholm University. The position is located at the KTH Division of Information Science end Engineering under the supervision of Professor Magnus Jansson and Associate Professor Saikat Chatterjee together with colleagues from other partners.


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
  • An opportunity to develop your skills in an interdisciplinary research project with an important purpose
  • 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.
  • Demonstrated high degree of research expertise.
  • Good cooperation skills and at the same time good ability to work independently.
  • You are aware of diversity and equality issues, with a particular focus on equality.

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Previous experience in machine learning, AI and health applications.
  • Strong communication skills (both orally and in writing)
  • Demonstrated pedagogical ability

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.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

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

Type of employment: Temporary position
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary
Number of positions: 1
Full-time equivalent: 100 %
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: J-2024-1287
Contact:

  • Professor Magnus Jansson, [email protected]
  • Anna Mård, HR Officer, [email protected]
  • Published: 2024-05-02
    Last application date: 2024-05-31


    Requirements
    Research Field
    Computer science
    Years of Research Experience
    4 - 10

    Additional Information
    Website for additional job details

    https://academicpositions.com

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    KTH Royal Institute of Technology
    Country
    Sweden
    City
    Stockholm
    Postal Code
    11428
    Street
    Brinellvägen 8

    Where to apply
    Website

    https://academicpositions.com/ad/kth-royal-institute-of-technology/2024/postdoc…

    Contact
    City

    Stockholm
    Website

    http://www.kth.se
    Postal Code

    11428

    STATUS: EXPIRED

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