Job description

Successful candidates will conduct research in the area of graphical models and causality with Liam Solus and other members of the mathematics department at KTH.  Of particular interest are problems related to implementation and theoretical analysis of causal discovery algorithms, causal inference methods in context-specific settings and causal inference for big data. 

The position is a time-limited, full-time, one year position (with the possibility of extension) starting September 2022 or at an agreed upon date (either earlier or later).  The successful applicant will be a member of the new Department of Mathematics for Data and AI at KTH, a quickly growing group working in the mathematical foundations of AI and data science with several faculty,  postdoctoral researchers and PhD students working within the field of graphical models and causality.  The position is either full-time including 20% teaching responsibilities (about one course per year) or part-time (80% of full time) with no teaching responsibilities.  The position is financed through the Göran Gustafsson Stiftelse. 

What we offer

• An interactive and large group of young researchers interested in the mathematical foundations of AI and data science.
• 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

A PhD degree awarded or to be awarded before the starting date of the position.  We seek candidates with a background in areas related to one of the following: graphical models, causality, mathematical statistics, or algebraic statistics.  The successful application will be a highly motivated researcher, capable of working both independently as well as in collaboration with other researchers. 

Requirements

• A doctoral degree or an equivalent foreign degree 

Preferred qualifications

• Strong research results in graphic models and/or causality

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  Great emphasis will be placed on scientific skills personal competency

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  Good knowledge in at least one programming language: python, scala, C++ or R

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  Teaching ability

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  The ability to work towards research results being utilised in practice.

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  The ability to inform about research and development work

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  Experience of developing and leading activities and staff.

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  Knowledge of diversity and equal opportunity issues, with specific focus on gender equality

  Great emphasis will be placed on personal competency.

  
  

   

Trade union representatives

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

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application.

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.
• Research Statement (max 2 pages).
• Contact information for two references.

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 employment is valid for a limited time according to the agreement - for up to one year with access according to agreement.

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.

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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