The Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam invites applications for a fully funded four-year PhD position in the Computational Social Choice Group led by Ulle Endriss.
This position is part of the Collective Information Project, which will eventually employ a total of five junior researchers. It is funded by the Netherlands Organisation for Scientific Research (NWO) under the VICI scheme.
The aim of the Collective Information Project is to improve our understanding of how best to aggregate information supplied by several independent agents and how the structural properties of the kind of information we wish to aggregate influences the performance of different aggregation mechanisms.
The University of Amsterdam is a public university located in Amsterdam, Netherlands; it is the third-oldest university in the Netherlands. It is one of the largest research universities in Europe with 31,186 students, 4,794 staff, 1,340 PhD students and an annual budget of €600 million.
- Application deadline: 1 February 2019
- Course Level: Position is available for a PhD researcher.
- Study Subject: Computational Social Choice
- Scholarship Award: The gross monthly salary amounts to €2,325 during the first year, rising to €2,972 during the fourth year, and will be supplemented with an 8% holiday allowance and an 8.3% end-of-year bonus. The Collective Labour Agreement for Dutch Universities applies.
- Nationality: International applicants are eligible to apply for the position
- Number of Scholarships: Number of position is not given
- Scholarship can be taken in the Netherlands
Eligibility for the Scholarship:
- Eligible Countries: International applicants are eligible to apply for the position
- Entrance Requirements: You should hold, or expect to obtain before the start of your appointment, a Master’s degree in a relevant discipline, such as Computer Science, Artificial Intelligence, Mathematics, Logic, or Economics. Candidates with an interdisciplinary background are particularly encouraged to apply (over the years, members of the Computational Social Choice Group have included people with first degrees in Computer Science, Mathematics, Philosophy, Cognitive Science, and Operations Research). Furthermore, you should possess:
- an excellent academic track record;
- a serious interest in pursuing fundamental research of an interdisciplinary nature;
- good writing and presentation skills;
- good social and organisational skills;
- full professional proficiency in spoken and written English.
Prior exposure to relevant topics at the interface of Economics and Computer Science, particularly Computational Social Choice and Algorithmic Game Theory, is an advantage, but certainly not a requirement. The same holds for relevant topics in Artificial Intelligence, particularly in the areas of Multiagent Systems and Knowledge Representation and Reasoning.
Please note that knowledge of the Dutch language is not required for this position, nor is it required for being able to live in Amsterdam. However, PhD candidates at the ILLC have the opportunity to attend Dutch language classes if they wish.
- English Language Requirements: Applicant must be fluent in English.
How to Apply: The UvA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We value a spirit of enquiry and endurance, provide the space to keep asking questions and cherish a diverse atmosphere of curiosity and creativity.
You may send in your application using the link below.
Please upload the following information in a single PDF file (not zipped):
- cover letter/letter of motivation (at most 1 page), why did you choose to apply for this position;
- curriculum vitae, including a list of publications;
- the names and contact details (email and telephone numbers) of two academic references.
We will recruit until the position is filled. The selection process commences immediately but will close when a suitable candidate has been found, even if this is prior to the final date of the application window.