[agents] Assistant Professor position in Adaptive Multi-Agent Systems (Maastricht University, Netherlands)

[Karl Tuyls]

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Tenure Track Assistant Professorship in Adaptive Multi-Agent Systems



The Department of Knowledge Engineering (DKE) at Maastricht University, the
Netherlands, invites applications for a full-time tenure track position in
adaptive multi-agent systems at the level of Assistant Professor. Among the
topics considered as particularly relevant for this position are
(relational) reinforcement learning, multi-agent learning, swarm
intelligence, and evolutionary game theory. The successful applicant will
have the opportunity to contribute to cutting-edge research and to teaching
(in English) in a highly stimulating academic environment. The successful
applicant will be embedded in the RAI research group (Robotics, Agents and
Interaction) of the DKE department.



**** REQUIREMENTS

Ph.D. in Computer Science or a closely related subject area. Demonstrated
research excellence in multiagent technology and preferably in at least one
of above mentioned topics of particular relevance. Interest in both theory
and real-world applications. Team orientation and willingness to take a
leading role in research. Developed ability to contribute to teaching at the
bachelor and master levels. Experience in research funding acquisition is
appreciated.


**** CONDITIONS OF EMPLOYMENT

The position is initially offered for a four-year period and, subject to
evaluation and availability of financial funds, can then be turned into a
permanent position. Salary is competitive, depending on qualifications and
work experience. The salary will be set in salary scale 11 or 12 of the
collective labour agreement of the Dutch Universities (minimum € 3,195.00
and maximum € 4,970.00) for a full-time job (38 hours/week).

On top of this, there is an 8% holiday and an 8.3% year-end allowance.
Non-Dutch applicants could be eligible for a favorable tax treatment (30%
rule).


**** 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 14,000 students and
3,500 employees. Reflecting the university's strong international profile, a
fair amount of both students and staff are from abroad.

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 (2009).
With respect to both research and teaching DKE is engaged in various
national and international cooperations.


**** HOW TO APPLY

Applicants are asked to send a curriculum vitae, together with a research
and teaching statement (max. 2 pages A4 format) as well as the names of
three persons that can provide references, to
applications-DKE at maastrichtuniversity.nl , with in the subject line: “UD
Multi-Agent Systems” (preferably in a single PDF file).

Screening of applications will begin August 31st, 2010 and continue until
the position is filled. Applicants may be called in for an interview. It is
intended to occupy this position as soon as possible.

Informal Inquiries concerning this position should be directed to Prof. Dr.
G. Weiss or  dr. K. Tuyls gerhard.weiss at maastrichtuniversity.nl , +31 43
3883898, k.tuyls at maastrichtuniversity.nl, +31 43 3883482  .

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++