Post Doc at UCLA in Quantum Machine Learning

Job type: 

Application deadline: 

Wednesday, September 4, 2019

Post Doctoral position, Quantum Machine Learning (QML): A post doc position is available to develop novel hybrid quantum - deep learning algorithms for next-generation quantum computing. The hybrid algorithms, which combine the strengths of AI and quantum algorithms, will be used to solve problems of quantum control and of mathematical physics. Emphasis will be placed on the explainability of the designed AI (XAI) without loss of performance. Qualifications: Ph.D. in theoretical physics or similar degree in physical sciences, proficiency in quantum mechanics and computer programming. A good command of advanced topics in mathematics is an asset. No experience in machine learning necessary (we will provide such training). To Send Inquiries, or to Apply, Contact: