- JOB
- Netherlands
Job Information
- Organisation/Company
- Utrecht University
- Research Field
- Physics
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Netherlands
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Not Applicable
- Hours Per Week
- 40.0
- Is the job funded through the EU Research Framework Programme?
- Not funded by a EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
In human society, communication is an effective mechanism for coordinating the behaviors of humans. In the field of deep multi-agent reinforcement learning (MARL), agents can also improve the overall learning performance and achieve their objectives by communication. MARL with communication research learns to solve multi-agent tasks (such as navigation, traffic, and video games), by communicating and sharing information.
Your job
In this project, we focus on interpretability of the communication in MARL algorithms. We aim to bring together causality and multi-agent reinforcement learning, using causal methods to understand the effects of communication on MARL agents’ (learning) behaviors. This could cover better interpreting the potential causal relations between communication strategies and the learning performance, or using causal representation learning for developing more effective and interpretable MARL with communication algorithms.
As a PhD candidate, you will primarily perform research within the scope of the project culminating in a successful dissertation, as well as writing academic articles and presenting your work on international AI and machine learning conferences.
This position offers you rich development opportunities. You will be part of the Hybrid Intelligence consortium, a network of excellence of universities and institutes in the Netherlands focused on the combination of human and machine intelligence. You will then have the chance to participate in international summer schools, conferences and workshops to broaden your research skills and network. In addition, you will have the opportunity to contribute to teaching and supervising AI-related thesis projects at both the Bachelor’s and Master’s levels (10-15% of your time).
This project is funded by Hybrid Intelligence gravity project. This particular project is a collaboration between the Intelligent Systems Lab at Utrecht University and the Amsterdam Machine Learning Lab at University of Amsterdam. You will be part of the Intelligent Systems group at Utrecht University, and will work under the supervision of Dr Shihan Wang (daily supervisor), Dr Sara Magliacane (co-supervisor) and Professor Mehdi Dastani (promotor).
Where to apply
Requirements
- A MSc in Computer Science or Artificial Intelligence;
- a strong background in Machine Learning;
- demonstrable experience with/knowledge of Reinforcement Learning and/or Causal Inference;
- knowledge of Multi-agent Reinforcement Learning would be a plus, but not necessary;
- a strong interest in the topic and open to communicate with others in the group and the Hybrid Intelligence consortium, as collaboration and knowledge exchange are key to the success of this PhD position.
We aim to create hybrid intelligence for everyone, see also our Diversity Statement. To do this, we need an inclusive and diverse team of researchers. We especially encourage people from underrepresented groups to apply for this job.
Additional Information
- a position for 18 months, with an extension to a total of four years upon successful assessment in the first 18 months;
- a gross monthly salary between €2,901 and €3,707 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU));
- 8% holiday pay and 8.3% year-end bonus;
- a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.
In addition to the terms of employment laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development, leave schemes and schemes for sports and cultural activities, as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University.
As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.
If you are enthusiastic about this position, just apply via the 'apply now' button. Please enclose:
- your motivation letter, in which you describe how your research experience and interests fit with the goals of this PhD position;
- your curriculum vitae;
- up-to-date transcripts of the grades of all your courses;
- the names, affiliations and email addresses of at least two referees we may contact at a later stage of the recruitment process;
- a copy of your Master's thesis if available, otherwise a paper that you are most proud of.
The position is available immediately, with the latest possible start date in 2025.
Note that this position is one of several job openings within the Hybrid Intelligence Centre (see the HI page with job openings). You can apply to more than just this one. If you do so, please inform the Hybrid Intelligence Centre’s Project Manager via email at projectmanager.at.HI@gmail.com of the projects you are applying to.
If this specific opportunity isn’t for you, but you know someone else who may be interested, please forward this vacancy to them.
Some connections are fundamental – Be one of them
#FundamentalConnection
For more information, please contact Dr Shihan Wang at s.wang2@uu.nl.
Do you have a question about the application procedure? Please send an email to science.recruitment@uu.nl.
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Universiteit Utrecht
- Country
- Netherlands
- City
- Utrecht
- Postal Code
- 3584CC
- Street
- Princetonplein 5
- Geofield
Contact
- City
- Utrecht
- Website
- Street
- Domplein 29
- Postal Code
- 3512 JE