The position is within the Computational Intelligence research program headed by Prof.Dr. A.E. Eiben. CI research is embedded within the main research of the Department with a special focus on evolving and learning machines. We are concerned with adaptation on individual and population level in heterogeneous groups of connected units. Embodiment and sensory information are essential features in the systems of interest that include groups of various smart devices for e-health, self-organizing robot swarms, and robots with evolvable brains and bodies. We focus on algorithmic aspects of machine-machine and man-machine collectives and investigate emerging behaviors. A practical example is the application of smart phones and watches to adaptively model and advise users towards a healthier life style. On the fundamental side we investigate embodied AI, in particular the co-evolution of mind and body in an EvoSphere. The CI Group naturally relates with the priority areas of the Department, Socio-technical Systems and Data Science, where the problem of “emergence engineering” is salient. Furthermore, CI research is embedded in the VU Network Institute fostering collaboration with social sciences and humanities.
The cluster of courses taught by the CI staff consists of Collective Intelligence, Data Mining, Evolutionary Computing, Heuristics, Machine Learning, Machine Learning for the Quantified Self, and Computational Intelligence.
CI group members have a special link with the Business Analytics programme (formerly: Business Mathematics and Informatics) and supervise B.A. student projects carried out at external companies.
The candidate is expected to develop a strong research program in line with the strategic vision in collaboration with the group leader, CI staff, and the other groups of the Department. Special emphasis is laid on the focus areas;
We expect that the candidate is an expert in one of the above areas and (a) maintains a stream of high quality publications, (b) acquires external research grants and supervises project staff, (c) conducts excellent teaching and (d) shows Departmental citizenship. The candidate will also help supervise PhD students of the CI group and contribute to our running research projects. At this moment these include applied research on population health with Philips as well as more fundamental EU projects, for example DREAM and Phoenix. Furthermore, (s)he is expected to be/come well embedded in the forefront of European research initiatives, e.g. the Horizon 2020 ICT programme, Future Emergent Technologies, etc.
For tenure-track positions, the initial appointment will be for a period between four and five years. Based on performance indicators agreed at the start of the appointment, a tenure track position will lead to a tenured position in a period of maximally 5 years. In the fifth year of the appointment the tenure decision will be taken.