Postdoc in Causal AI for Mobility Behavior Analysis - Hiring in process/Finished, not possible to apply

Job description

We envision a mobile cyber-physical system where people carrying mobile sensors (e.g., smartphones, smartcards) generate large amounts of trajectory data that is used to sense and monitor human interactions with physical and social environments. We seek to develop a causal artificial intelligence (AI) methodology to analyze and model human mobility behavior dynamics (decision-making) using individual travel trajectory data, and importantly develop the causal diagrams of human mobility behavior under disturbances that could help design effective strategies for sustainable and resilient urban mobility systems.

We are looking for a highly-qualified and motivated postdoc in getting hands-on research experience in the area of Transportation Behavior and Artificial Intelligence. The postdoc will join a research team at the Division of Transport Planning. The postdoc develops the causal AI methodology and mobility behavioral graph under interventions, works closely with the researchers specialising in mathematics, causal inference, machine learning, data analytics and transportation science.

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.
• A strong research expertise in transportation, behavior science, machine learning, mathematics or related disciplines.
• Previous experience with big data analytics, behavior modeling and python programming using deep learning architectures.
• Theoretical background in machine learning.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.
• Teaching capabilities in applied artificial intelligence in transportation.
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality.
• Candidates applying for this position are comfortable working in groups as well as independently, and they have a good sense of structure in their daily work tasks.

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, midnight CET/CEST (Central European Time/Central European Summer Time).

The application must include:

• CV including relevant professional experience and knowledge.
• Brief account of why you want to conduct the posted postdoc position, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

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.