We offer a two-year postdoctoral position as part of a joint research project between QuSoft and TOYOTA, that is exploring the possibilities of quantum computing in research and development use cases, in particular quantum optimization as part of machine learning workflows.

You will be employed at the Institute for Informatics (IvI) at the University of Amsterdam (UvA), and you will be a member of QuSoft, the Dutch research institute for quantum software.

What are you going to do
The project is a scientific exploration of the possibilities of speeding up the solving of optimization problems, especially those related to primitives in machine learning. This will be done in collaboration with domain experts from TOYOTA, who will contribute real-world use cases and data. Your research will encompass several aspects of this question, and will encompass:

• study the computational problems arising within real-world machine learning work-flows, matching them with possible quantum optimization algorithms;
• adapt these quantum algorithms for the specific use-cases, and develop new quan-tum algorithms for these tasks;
• implement proof-of-concept versions of quantum optimization algorithms on real-world data and analyze their accuracy and performance;
• write, publish, and present scientific papers disseminating your results.

The project will be supervised by:

• dr. Sachin Kinge for TOYOTA

• dr. Florian Speelman and prof. dr. Harry Buhrman for QuSoft, UvA

What do we require from you

• a completed PhD in quantum algorithms, or a closely related topic;
• strong motivation to work in a cross-disciplinary environment at the interface of academic and corporate research;
• fluency in oral and written English and good presentation skills.