[agents] PhD position in Formal Modelling of Intelligent Agents and Multi-Agent Systems, Utrecht University, Netherlands

[Alechina, N.A. (Natasha)]

PhD position in Formal Modelling of Intelligent Agents and Multi-Agent Systems, Utrecht University, Netherlands
- Application deadline: 30 October 2020.
- For a full description and online application please visit the https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-position-in-formal-modelling-of-intelligent-agents-and-multi-agent-systems-10-fte
 
Description:
We are looking for an excellent PhD candidate to work in the area of Intelligent Agents and Multi-Agent Systems. The research goal of this project is to contribute to the ultimate aim of developing intelligent agents and multi-agent systems that are more reliable, more capable of assisting humans and attuned to human values. Possible topics include, but are not limited to: formal modelling of social systems, synthesis of norms for social systems, verification of learned strategies, verification and synthesis of strategies in multi-agent systems under resource constraints. The project is unique in the sense that as our candidate, you will have plenty of freedom in choosing your own topic of interest across the many opportunities in the area of formal modelling of intelligent agents and multi-agent systems, and it will allow you to develop a strong academic profile as a competent Researcher and able Teacher.
 
This is a 5-year position consisting of 70% research and 30% teaching activities. This will allow you to develop a strong academic profile. As a PhD candidate, you will primarily perform research for publishing scientific papers and presenting them at international AI conferences (such as AAMAS, AAAI, IJCAI). You will also be involved in teaching and the supervision of AI-related courses and projects at both Bachelor's and Master's levels.
 
Qualifications
We are looking for a candidate who is driven and enthusiastic and:
	• holds a Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related field;
	• has a solid background in (multi-agent) reinforcement learning;
	• has a basic knowledge of artificial intelligence and machine learning;
	• has good programming skills (preferably in Python);
	• has strong written and oral communication skills in English;
	• has a strong motivation for multidisciplinary research.