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Ph.D. Vacancy on Learning Online Search-Control Knowledge for General Game 
Playing

The Department of Knowledge Engineering (DKE), of the Faculty of Humanities and 
Sciences (FHS), has a vacancy for a Ph.D. Researcher on the GoGeneral project 
funded by NWO and DKE. The project, supervised by dr. Mark Winands (Maastricht 
University) and prof. dr. Yngvi Björnsson (Reykjavik University), aims to 
create intelligent programs that can automatically learn how to play many 
different games at an expert level without any human intervention. 

The domain of General Game Playing (GGP) poses many research challenges in 
several areas of Artificial Intelligence, such as knowledge acquisition, 
heuristic search, and machine learning. A recent development in GGP is the 
successful application of simulation-based search methods such as Monte-Carlo 
Tree Search and Nested Monte-Carlo Search. These search methods overcome to 
some extent the knowledge-acquisition bottleneck. Still, all relevant 
search-control knowledge required for expert-level play must be discovered 
using machine-learning techniques during online play. This is a challenging 
task, for which more effective methods are required than currently exist. 
Therefore, this project aims to develop new and more methods for online 
learning of search control, which will lead to improved search algorithms. 

++++ REQUIREMENTS

Successful candidates are expected to meet the following requirements:

- A M.Sc. degree in Computer Science, Artificial Intelligence, Knowledge 
Engineering, or Applied Mathematics. Candidates expecting to graduate by 1 
February 2015 can also apply.
- Proof of excellence and ambition.
- An enthusiastic and cooperative working attitude.
- Perseverance to meet the targets that are set.
- Good communicative skills.
- A strong background in programming.

Preferred skills are as follows:

- Experience with C++ or Java.
- Strong self-motivation and drive.
- Fluency in English.

++++ CONDITIONS OF EMPLOYMENT

-  PhD position for four years (full time, 38 hrs/week, yearly evaluation)
-  Gross salary ranging from Euro 2083 (1st year) to Euro 2664 (4th year) gross 
per month
-  Holiday allowance (8%), end-of-year bonus (8.3%)
-  Stimulating scientific environment
-  Excellent facilities for professional and personal development

++++ ORGANISATION: MAASTRICHT UNIVERSITY (UM) and  DEPARTMENT OF KNOWLEDGE 
ENGINEERING (DKE)

UM (www.maastrichtuniversity.nl) is renowned for its unique, innovative, 
problem-based learning system, which is characterized by a small-scale and 
student-oriented approach. Research at UM is characterized by a 
multidisciplinary and thematic approach, and is concentrated in research 
institutes and schools. Maastricht University has around 16,000 students and 
4,000 employees. Reflecting the university's strong international profile, a 
fair number of both students and staff are from abroad. The university hosts 6 
faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, 
School of Business and Economics, Faculty of Humanities and Sciences, Faculty 
of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

Founded in 1992 as part of the Faculty of Humanities and Sciences, today DKE 
(www.maastrichtuniversity.nl/web/Schools/DKE.htm) broadly covers Knowledge 
Engineering in research and teaching. DKE comprises three internationally 
respected research groups, having their foci on "Robotics, Agents and 
Interaction", "Networks and Strategic Optimization", and "Biomathematics and 
Bioinformatics". Education programs currently offered by DKE are Knowledge 
Engineering (Bachelor), Artificial Intelligence and Operations Research (both 
Master). DKE has been top-ranked in Keuzegids Hoger Onderwijs (2014). With 
respect to both research and teaching DKE is engaged in various national and 
international collaborations.

++++ FURTHER INFORMATION AND HOW TO APPLY

Informal inquiries concerning this position can be directed to dr. Mark Winands 
(m.winands_at_maastrichtuniversity.nl).

Applicants are asked to email a curriculum vitae and the name of at least one 
reference to  [email protected] with relevant vacancy 
number (AT2014.201) in the subject line before 1-12-2014. 

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