[AISWorld] Assistant Professor position in Artificial Intelligence and Data Analytics, Eindhoven University of Technology

[Oktay Turetken]

Assistant Professor position in Artificial Intelligence and Data Analytics
at the Eindhoven University of Technology

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The Information Systems Group of the School of Industrial Engineering at
the Eindhoven University of Technology invites applications for an
assistant professor position in artificial intelligence and data analytics.

The intended starting date is May 1st, 2018.

The deadline for the application is January 21st, 2018

(Reference number: V39.3135).

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Job description

The department of Industrial Engineering & Innovation Sciences (IE&IS)
engages in education and research in the area of operational business
processes and transitions in societies in relation to technical changes. In
the IE&IS department, scholars and students work together on critical
problems at the interface of engineering, management, innovation, and human
behavior. The department has two schools: the School of Industrial
Engineering and the School of Innovation Sciences.


The School of Industrial Engineering is one of the leading IE schools in
Europe, with a strong presence in the international research and education
community. Within the School of Industrial Engineering five degree programs
are taught: BSc in Industrial Engineering & Management Science, MSc in
Operations Management & Logistics, MSc in Innovation Management, PDEng in
Industrial Engineering and PhD in Operations, Logistics and Innovation
Management. The School IE also teaches a substantial part of the MSc in
Business Information Systems. The research in the school is strongly
connected to the Brainport area, the high-tech industrial area around the
city of Eindhoven.


The Information Systems Group performs research and teaches in business
information systems, focusing on automated support of operational business
processes within and between organizations. Research aims at design
methods, analysis tools, information system architectures, data mining and
intelligent systems development using advanced prototypes. The research
approach is model-centric and engineering-oriented, integrating basic and
applied research with contemporary real-world cases. Main application
domains are the services industry, health care, logistics and supply
chains. The research of the group is organized in an open, topic-oriented,
dynamic cluster structure. The group operates in a strong international
research and industry network, in which it participates in multiple
European projects and organizes international conferences and workshops.

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Job description

The assistant professor will initiate, perform and supervise high-quality
research in the area of artificial intelligence and data analytics, with
special focus on non-probabilistic uncertainty modelling (e.g. fuzzy
systems, belief theory), computational intelligence and (deep) learning
algorithms; teach courses in Bachelor and Master Programmes of the School
of Industrial Engineering; contribute to externally funded research
projects of the group; assist in the supervision of Ph.D. students and
contribute to the management of the group. The candidate will become a
member of the Information Systems group of the School of Industrial
Engineering.


The assistant professor of Artificial Intelligence and Data Analytics
specialises in adaptive computerized systems and computational models for
decisions regarding business processes. These models are typically
developed with the help of various computational modelling techniques (e.g.
from artificial or computational intelligence) and simulation. Such
techniques are studied both from a theoretical perspective as well as from
an applied perspective as far as they contribute to improved decision
making within the context of operational processes. The assistant professor
is able to integrate insights from theory and industrial practice and has
an engineering approach to problem solving. He/she will become a member of
the Business Process Intelligence Research Cluster of the group.

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Job requirements

The candidate is expected to have the following qualifications:

- A PhD degree in a relevant field such as computer science, computational
intelligence, intelligent systems or a related quantitative field;

- Published in international journals and conference proceedings of high
quality;

- Excellent communication, organization and management skills;

- Strong cooperation skills and ability to work in a team;

- Experience in teaching academic courses (preferably in information
systems and business intelligence).

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Conditions of employment

We offer:

- a challenging job in a dynamic and ambitious university;

- a tenure track appointment for a period of five years;

- a gross monthly full time salary of an assistant professor between €3.475
and €5.405 depending on experience and knowledge;

- a yearly holiday allowance of 8% of the yearly salary;

- a yearly end year allowance of 8.3% of the yearly salary;

- broad, attractive package of fringe benefits (including an excellent
technical infrastructure, child care, savings schemes, and excellent sports
facilities).

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Information

Further information with respect to the signature of the position is
available from prof.dr.ir. Uzay Kaymak (u.kaymak at tue.nl or +3140-2472290).
Further information concerning employment conditions can be obtained from
drs. Kees Deneer, personnel officer IE&IS, (pz.ieis at tue.nl).


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Application

Your application must contain the following documents (all in English):

- A letter of interest;

- An extensive curriculum vitae including your publication list;

- A research and teaching statement;

- Contact details of references.


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If you are interested, we invite you to apply before January 22th, 2018 at:

https://jobs.tue.nl/en/vacancy/assistant-professor-10-fte-in-artificial-intelligence-and-data-analytics-328942.html


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