Job description
Within both our research and education, we see an increasing role within many of the scientific subjects and disciplines for natural language processing (NLP) technology in our two Computer Science departments at Delft University of Technology: Software Technology (ST) and Intelligent Systems (INSY).
Therefore, we like to extend our current staff and research & teaching activities with two new colleagues working on natural language processing. The two new assistant professors will be expected to have their own research lines that can be well embedded into the larger research landscape of our current computer science research areas, where they are expected to join our current forces to together develop both the discipline and usable systems for human interaction with natural language.
Department of Intelligent Systems (INSY)
One assistant professor will be working within the INSY department. The INSY department aims to enable man and machine to deal with the increasing volume and complexity of data, in close cooperation with their environment. The department integrates fundamental research, engineering, and design in the interlocking fields of data processing, interpretation, visualization and interaction using model- and knowledge-based methods and algorithms. INSY consists of five research groups (more details can be found here). The new colleague will be working within the Multimedia Computing Group, but collaborations with other groups are envisaged and encouraged.
At INSY we are looking for an assistant professor who can strengthen our team and research on the general topic of NLP for human-compatible natural language systems, particularly on the topics of
Requirements
The successful assistant professor candidates should have:
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Education Backgrounds: |
Biomedical Science Healthcare Science Software Engineering |
Specialties: |
Algorithms Big Data Dynamical behaviour Life sciences |
Education Level: |
Doctorate (PH.D) |
Experience: |
0 - 2 years 2 - 5 years 5 - 10 Years |
Languages spoken: |
English |
Job Location: | Delft, Netherlands |
Type: Job
Deadline: 21st August 2022
Job reference (ID): 19200
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