Postdoc Researcher - FLA

Company: Fujitsu America
Location: Sunnyvale, California, United States
Type: Full-time
Posted: 24.MAY.2021

Summary

Fujitsu Laboratories of America (FLA) is a wholly owned subsidiary of Fujitsu Laboratories Ltd., Fujitsu's Research and Development Division...

Description

Fujitsu Laboratories of America (FLA) is a wholly owned subsidiary of Fujitsu Laboratories Ltd., Fujitsu's Research and Development Division. Our corporate headquarters is in Sunnyvale, California. We innovate and develop real-world technologies that impact a broad range of industries, and our visionary scientists work to create and unfold new and improved technologies.

Globally, Fujitsu Laboratories has a rich history spanning over 50 years in cutting-edge innovation and research, supporting the global Fujitsu Group's brand promise, "Shaping tomorrow with you." From the first relay-based mainframe to the prototype of Fugaku, one of the fastest supercomputers (developed with RIKEN), Fujitsu has led the way in advanced information and communications technology (ICT) research. Our future R&D strategy and vision center around co-creation with our customers to solve their Digital Transformation (DX) challenges by applying our ground-breaking digital technologies.

At FLA, our research areas cover a range of topics including artificial intelligence, software engineering, cyber security, blockchain, and next-generation computer systems and quantum computing. We leverage our presence in the Silicon Valley" to collaborate closely with universities and other research institutes.

Fujitsu Labs of America (FLA) is inviting applications out for a postdoctoral position in quantum computing. The position is for one year with a possibility of renewal for another year. Selected candidate will work remotely for now but if the office campuses open up will either work at FCCI Canada, Toronto or FLA, Sunnyvale, California. The successful candidate should have a PhD in Computer Science, Mathematics, or Physics with focus on quantum information processing. Students expecting to graduate in Summer 2021 are encouraged to apply as well.

Preferred requirements:

1) In-depth knowledge of quantum algorithms, quantum-inspired algorithms, and quantum-classical hybrid algorithms.

2) Ability to design quantum algorithmic applications.

3) Strong publication record demonstrated by accepted or published research papers in high quality conferences and/ or journals.

4) Knowledge of scientific disciplines such as machine learning and optimization is desirable but not essential.

 
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