This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 766186.

Meet our project team

University of Birmingham

CERCIA@ University of Birmingham (UoB) is a world leader in nature-inspired computation (especially evolutionary computation) and its application. Its expertise include evolutionary computation, ensemble learning and search based software engineering. CERCIA@UoB is the overall coordinator of the ECOLE project.

It employs two ESRs and supervises PhD studies of four ESRs. The supervisors involved include Xin Yao, Leandro Minku, Peter Tino and Ata Kaban.

Prof Xin Yao

Dr Leandro Minku



NEC Laboratories Europe GmbH will provide opportunities for ESRs to participate in Machine Learning and Artificial Intelligence research, help the ESRs better understand the industrial demands and applications, and supervise the ESRs to produce cutting-edge technologies with industrial impact.

They will be responsible for dedicated topics within project seminars and workshops as well as hosting a summer school.

Dr Zhao Xu

Honda Research Institute Europe

Honda Research Institute Europe GmbH is the European office of the three globally well-established fundamental research institutes of Honda. It focuses on the research of intelligent system technologies for “a sustainable and joyful society by creating innovations that harmonize technology, nature and people.” It won the prestigious IEEE Computational Intelligence Society Outstanding Organization Award for its leadership and innovative work in this field.

Prof Bernhard Sendhoff

Dr Stefan Menzel

Universiteit Leiden

The Leiden Institute of Advanced Computer Science (LIACS) is a center of excellence for multidisciplinary research and education in computer science and artificial intelligence (AI).

LIACS concentrates on the study of artificial intelligence, machine learning and data science, with a strong foundation in core computer science. Research programmes include Artificial Intelligence and Machine Learning, Big Data Mining, Natural Computing, Optimisation and Multiple-Criteria Decision Making.

All ESRs will have access to LIACS’ vibrant research and education environment and the institute’s modern office and computing facilities, including with the two computing clusters that it hosts for ESRs to carry out CPU-intensive research work.

Prof Thomas Bäck

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