Jobid=618559979672376793 (0.0995)
Governments and regulatory bodies around the world are discussing how to create laws that ensure artificial intelligence (AI) is used fairly and responsibly. One growing concern is that algorithms could learn to work together in ways that harm society, for example, by raising prices. In this project, you will provide a rigorous foundation for these discussions by examining if and how certain types of algorithms can learn such collusive behaviour. You will develop mathematical tools to measure how likely an algorithm is to engage in this kind of coordination by studying how and what it learns and then use these tools to analyze (using theory and simulations) how changes to three key areas can affect an algorithm’s tendency to collude: (1) its learning objective, (2) the representations of its environment, and (3) changes in the algorithmic metagame. By studying these factors, we will improve understanding regarding which design choices lead to harmful coordination and may need to be regulated in the future.
Your profile
You are an enthusiastic and highly motivated researcher.
You have, or you will shortly acquire, a Master’s degree in Mathematics or Theoretical Computer Science (or a related field).
You preferably have experience in either the mathematics of reinforcement learning or deep learning (or both).
You have a creative mindset and excellent analytical and communication skills.
You have a good team spirit and like to work in an interdisciplinary and internationally oriented environment.
You are proficient in English.
Our offer
A full-time position for four years, with a qualifier in the first year, and the flexibility to work (partially) from home.
Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU).
You will receive a gross monthly salary ranging from € 3.059,- (first year) to € 3.881,- (fourth year).
There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.
A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
Free access to sports facilities on campus.
A family-friendly institution that offers parental leave (both paid and unpaid).
You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision.
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