PhD position in Computational Social Choice
- Publication date
- 21 February 2018
- Level of education
- Master's degree
- Salary indication
- €2,222 to €2,840 gross per month
- Closing date
- 23 April 2018
- 38 hours per week
- Vacancy number
The Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam invites applications for a PhD position in the Computational Social Choice Group led by Ulle Endriss.
The ILLC is an interdisciplinary research institute where logicians, mathematicians, computer scientists, cognitive scientists, and philosophers collaborate. It offers an international research environment with world-class faculty in all of its areas of specialisation. The institute is located in the beautiful city of Amsterdam, renown for its historic system of canals, its laid-back cosmopolitan atmosphere, and its excellent connections to the rest of Europe and the world.
The University of Amsterdam strives for a better gender balance in its staff. Women therefore are particularly strongly encouraged to apply for this position.
Project and job description
The position is part of a larger research project, the Customisable Collective Choice (C3) Project, which will eventually employ two PhD candidates and one postdoctoral researcher. The project is funded by the Netherlands Organisation for Scientific Research (NWO) under the TOP1 scheme.
The aim of the C3 project is to develop the scientific foundations required to build tools that can help people to better understand the methods they use to make decisions together and to support them in designing decision making methods that are customised to their specific needs.
The successful applicant will become a member of the Computational Social Choice Group, the research agenda of which is dedicated to the design and analysis of methods for collective decision making. The group's research is both mathematical and conceptual in nature. Much of it regularly gets published in the leading conference proceedings and journals in Artificial Intelligence. At the same time, the group emphasises interdisciplinarity and often reaches out to other fields, particularly Economics, Political Science, and Philosophy.
The successful applicant will be expected to contribute to this broad research agenda. Specifically, you will be asked to perform the following tasks:
- to complete and defend a PhD thesis within the official appointment duration of four years;
- to regularly present research results at international workshops and conferences, and to publish them in conference proceedings and journals;
- to participate in and to contribute to the organisation of research activities and events at the ILLC, such as workshops and colloquia.
All PhD candidates at the ILLC furthermore are expected to make a small contribution to the institute's educational mission, e.g., by working as teaching assistants for courses in their area of expertise and by assisting with the supervision of student research projects.
This PhD position will be embedded into the ILLC's PhD Programme, which offers training in a range of transferable skills that are relevant for a successful research career.
Applicants should hold, or expect to obtain by the end of the academic year 2017/18, a Master's degree in a relevant discipline, such as Artificial Intelligence, Computer Science, Mathematics, or Logic. 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). Applicants furthermore 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 area of 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.
Should you have specific questions regarding this position or the application procedure, you are very welcome to contact Ulle Endriss for further information.
The successful candidate will be employed by the Faculty of Science at the University of Amsterdam on a fixed-term full-time position (38 hours per week).
The appointment is intended to be for a period of four years. The initial employment contract will be for 18 months. This will be extended with a further 30 months after a positive evaluation.
The gross monthly salary amounts to €2,222 during the first year, rising to €2,840 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.
The intended starting date is 1 September 2018.
Your application should include the following information (in one single PDF file, using your surname as the file name):
- a cover letter, including a description of your research interests and an explanation for why you are applying for this position (at most two pages);
- a detailed curriculum vitae;
- a list of all Master-level modules you have taken, with an official transcript of grades;
- a link to a writing sample available online, such as a Master's thesis, a term paper, or a publication;
- the names, affiliations, and email addresses of two or (at most) three people we can contact for letters of reference for you.
You may submit your application no later than 23 April 2018 to email@example.com. Please state both your name and vacancy number 18-080 in the subject field. #LI-DNP