Within the faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), the department of Computer Science is looking for highly motivated and enthusiastic Assistant/Associate/Full Professors (f/m) in the areas of Computer Architecture and Networking, Intelligent Interactive Systems, Software Science, and in the area of Privacy & Security.
Within these identified focus areas we offer positions in the following sub areas:
Computer Architecture and Networking
Topic 1. Data centric distributed networks
Focus on a data-centric approach in the entire design trajectory of distributed networks: from hardware, to the networking and processing for tomorrow's IoT and cyber-physical systems.
Topic 2. High level Synthesis of Embedded Computer Architectures
To realize power efficient, flexible, predictable, reliable, and secure embedded systems, embedded computer architectures (hardware and platform-software) are required that are designed in a way that addresses these aspects at a relatively high level of abstraction.
Intelligent Interactive Systems
Topic 3. Computational Models of Mind for Human-AI Interaction
Reasoning over interpreted human signals to support complex decision making and an ongoing human-agent dialogue will complement the strong expertise available on virtual agents, social robots and other AI machines that humans interact with.
Topic 4. Methods for Classification and Prediction of Human Behaviour
Coming to a generic description of dynamic behavioural models so that classification and predictions of human behaviour become possible, grounding and developing new appropriate machine learning methods to recognise human behaviour and generating adaptive AI responses in human-computer interaction.
Topic 5. Software Evolution
Software Evolution investigates how to develop reliable software that can easily be maintained and extended and can be adapted to changing requirements and situations. This combines formal methods to guarantee reliability, with research on requirements, architecture-design and model-driven engineering
Privacy and Security
Topic 6. Big Data and Cybersecurity
Many of the cybersecurity challenges that we are facing today are related to Big Data. On the one hand, there are many security technologies and systems that require the processing of massive amounts of data (including attack, flow, DNS, application and usage data) to create signatures of (potentially) malicious behaviour. Such signatures can be used to create models to detect (ab)normal behaviour and attacks. Dealing with the rapidly increasing amount of data that needs to be processed requires novel techniques, such as machine learning and AI, in combination with domain specific knowledge. On the other hand, the ubiquitous collection of data poses the challenge of how to securely store and process this data. To achieve this, we need dedicated security technologies for Big Data that scale well with the growing amount of data to be processed.
Topic 7. Security and the Internet of Things
Our modern digital society completely depends on technologies like the Internet and 5G for our daily communication. In recent years we have witnessed the development of the "Internet of Things" (IoT), where automated sensors and systems exchange information to manage and control our digital society. A key problem with these new technologies is trust, since most are manufactured outside Europe. Not only may these systems and their data get compromised, but we even have to assume that (the capabilities to add) backdoors exist. Such threats put the digital independence of our (western) society at risk. A key challenge is to therefore develop new methods and techniques to design trusted devices, to detect and isolate untrusted devices, but also to protect data handled by such devices.
As an Assistant/ Associate and Full Professor...
Are you up for the challenge to improve the world of Computer Science with your research as well as teaching in one of the most top-rated departments in the Netherlands?
HOW TO APPLY
Please send your application before May 27th. via the 'Apply now' button, and include:
You are welcome to contact prof.dr. Dirk Heylen for any questions you might have (firstname.lastname@example.org)
We offer an excellent and stimulating scientific environment with an attractive campus and lots of facilities for sports and leisure. The university provides a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agenda.
University of Twente (UT)
Drienerlolaan 5, 7522 NB, Enschede
Apply for this job via the employer's website.
This application process is managed by the employer (University of Twente (UT)). Please contact the employer for questions regarding your application.
Make sure to apply no later than 27 May 2019.