[BBC] Tenure track: Knowledge Discovery for Predictive Personalized Medicine at K.U.Leuven, Belgium
Kurt Driessens
kurt.driessens at cs.kuleuven.be
Wed Jun 24 11:23:07 CEST 2009
Tenure track Academic Position Knowledge Discovery for Predictive
Personalized Medicine
The Science, Engineering and Technology Group of K.U.Leuven invites
applications for a full-time academic position in the domain of
Knowledge discovery for predictive personalized medicine at the
Department of Computer Science.
1. DUTIES
1.1. Research
The tenure track positions are intended to foster high quality research
in strategically selected domains.
The successful candidate will be expected to develop a research program
that delivers excellent, international level research results and to
support and enhance national and international research collaboration.
More specifically, this research will concentrate on ‘Knowledge
discovery for predictive personalized medicine’. This research is
motivated by the fast development of science and technology for
medicine. The use of ‘Patient Data Management Systems’ in intensive care
units, combined with extensive lab tests and genetic screening,
generates massive amounts of personal data on patients. The study of
data from different sources and time periods provides unprecedented
possibilities to discover new knowledge. One of the outcomes could be a
personalized medicine that orients the therapy according to the genetic
profile of the patient. The sheer amount of data, their heterogeneity
and complexity, necessitates the use of knowledge discovery and data
mining techniques. Knowledge discovery is a novel branch in
computational sciences, which integrates techniques from databases,
machine learning, knowledge technology and artificial intelligence with
statistics. It is concerned with the development of new algorithms, the
formalization and introduction of background knowledge and ultimately
the discovery of new knowledge that can be added to the knowledge base
of a given discipline. The research program should develop in close
contact with the bio banking initiative for translational medicine, and
lead to a fruitful collaboration with applied research in the area of
patient care.
Research will be conducted within the framework of the Leuven ICT Centre
(LICT) and the Department of Computer Science. The successful candidate
will collaborate intensively with biomedical research groups (e.g.
Intensive Care Medicine).
1.2. Teaching
The successful candidate will take on teaching responsibilities
allocated to the Department of Computer Science in study programs of the
Faculty of Engineering, Faculty of Science or other faculties.
They are expected to meet the reigning K.U.Leuven standards regarding
academic program level and orientation and to adhere to the K.U.Leuven’s
concept of education. Commitment to quality of education as a whole is a
matter of course.
2. QUALIFICATIONS
Candidates should hold a PhD or doctoral degree in Engineering or in
Science, with specific expertise in the domain of computer sciences or
informatics.
They are expected to be excellent researchers who show independence and
originality. More specifically we are looking for candidates with a
strong background and experience in data mining and knowledge discovery
for complex data (relational data mining, graph and network mining,
heterogeneous data,…), in knowledge technology and artificial
intelligence for medical applications (e.g. intensive care), in
interdisciplinary collaborations and fund raising. They are dedicated to
high-quality teaching and will contribute to the quality of both
research and teaching at the Faculty and the Department.
The candidate’s research ability should be evidenced by publications in
international peer-reviewed journals.
International research experience is most important. In their
application, candidates should include a description of objectives they
wish to realise/methods they plan to use during the five-year period of
the position.
At K.U.Leuven the main language of instruction is Dutch. Successful
applicants who are not proficient in Dutch, will be provided language
training in order to be able to also instruct in the Dutch language
within three years time. Near-native proficiency in the English language
is expected of all applicants.
The full-time position will be offered for a period of five years
starting on March 15, 2010 at the level of assistant professor (docent).
A positive evaluation at the end of the five-year appointment will
result in a tenured appointment as associate professor (hoofddocent).
The K.U.Leuven pursues a policy of equal opportunity and diversity.
More information:
Pierre.Verbaeten at cs.kuleuven.be (chair Dept. of Computer Science),
Luc.DeRaedt at cs.kuleuven.be (Machine Learning Research Group)
Maurice.Bruynooghe at cs.kuleuven.be (Lab for Declarative Languages and
Artificial Intelligence);
Should you encounter any problems with the electronic registration,
please contact Katoe Buyle
e-mail: katoe.buyle at pers.kuleuven.be
tel.: +32 (0)16 328 324.
See also Website:
http://www.kuleuven.be/personeel/jobsite/vacatures/engineering.html
Deadline for Applications 30 September 2009
--
Kurt Driessens
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
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