Postdoc Position in Data Science Login and apply School of Electrical Engineering and Computer Science at 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. Job description The main focus of the employment is a collaboration project between KTH and Karolinska University Hospital within data science for precision medicine, which aims to develop new techniques for identifying risk factors to receive improper antibiotic treatment and to develop decision support systems for detecting patients at risk of receiving improper treatment. Scientific contributions are expected within explainable machine learning and uncertainty quantification. 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 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. Research expertise in data science/machine learning Ability to develop, implement and apply data science methods and systems Good collaborative abilities Good English communication skills Good ability to independently initiate and run research projects Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience of data science applications in healthcare and medicine Experience from research in explainable machine learning and uncertainty quantification Teaching abilities Awareness of diversity and equal opportunity issues, with specific focus on gender equality Collaborative abilities Swedish communication skills Great emphasis will be placed on personal competency. Trade union representatives You will find contact information to trade union representatives at KTH.se Application Log into KTH's recruitment system in order to apply to this position. You are responsible to ensure that your application is complete according to the instructions in the ad. Instructions: Feel free to insert the items below so that you receive the documentation you need for the selection process. 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 what you hope to achieve within the employment (max. one page) Your complete application must be received by 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. For information about processing of personal data in the recruitment process please read here. 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. Type of employment Temporary position longer than 6 months Contract type Full time First day of employment According to agreement Salary Monthly salary Number of positions 1 Working hours 100 % City Stockholm County Stockholms län Country Sweden Reference number J-2022-1439 Contact Henrik Boström, Professor, bostromh@kth.se Karl Henning, HR-administrator, karlhen@kth.se Published 02.Jun.2022 Last application date 30.Jun.2022 11:59 PM CEST Login and apply If you apply for this position please say you saw it on Computeroxy

Postdoc Position in Data Science

School of Electrical Engineering and Computer Science at 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.

Job description

The main focus of the employment is a collaboration project between KTH and Karolinska University Hospital within data science for precision medicine, which aims to develop new techniques for identifying risk factors to receive improper antibiotic treatment and to develop decision support systems for detecting patients at risk of receiving improper treatment. Scientific contributions are expected within explainable machine learning and uncertainty quantification.

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
Help to relocate and be settled in Sweden and 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.
Research expertise in data science/machine learning
Ability to develop, implement and apply data science methods and systems
Good collaborative abilities
Good English communication skills
Good ability to independently initiate and run research projects

Preferred qualifications

A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
Experience of data science applications in healthcare and medicine
Experience from research in explainable machine learning and uncertainty quantification
Teaching abilities
Awareness of diversity and equal opportunity issues, with specific focus on gender equality
Collaborative abilities
Swedish communication skills

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH.se

Application

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

Instructions: Feel free to insert the items below so that you receive the documentation you need for the selection process. 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 what you hope to achieve within the employment (max. one page)

Your complete application must be received by 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.
For information about processing of personal data in the recruitment process please read here.

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.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Working hours 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2022-1439
Contact
Henrik Boström, Professor, bostromh@kth.se
Karl Henning, HR-administrator, karlhen@kth.se
Published 02.Jun.2022
Last application date 30.Jun.2022 11:59 PM CEST
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