In the context of a joint research project between Eindhoven University of Technology (TU/e) and the Jheronimus Academy of Data Science (JADS), we offer three …
Assistant professor (1,0 fte) in Artificial Intelligence and Data Analytics
Assistant Professor (1,0 fte) in Artificial Intelligence and Data Analytics (5 years development track)
Preferred starting date: as soon as possible, but not later than May 1st
- de Rondom, Eindhoven, Noord-Brabant
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
FunctieomschrijvingThe 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.
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.
The candidate is expected to have the following qualifications:
Further information with respect to the signature of the position is available from prof.dr.ir. Uzay Kaymak (firstname.lastname@example.org or +3140-2472290). Further information concerning employment conditions can be obtained from drs. Kees Deneer, personnel officer IE&IS, (email@example.com).
Your application must contain the following documents (all in English):
If you are interested, we invite you to apply before January 22th 2018. You can apply by using the 'apply now' button for this vacancy.
Please note that a maximum of 5 documents of 2 MB each can be uploaded. If you have more than 5 documents you will have to combine them. Applications via email will not be accepted.