We are seeking an individual to investigate realistic microscopic models of quantum spin liquids and other novel phases in frustrated quantum magnets using primarily machine learning algorithms. The candidate will have the opportunity to work closely with several experimentalists worldwide with whom the group has active collaborations. The candidate will also have the freedom to pursue independent projects and the opportunity to interact closely with a big and active community of researchers working on various aspects of strongly correlated systems. 

 The position is for two years with the possibility for renewal for a third year. Salary is competitive as per international standards and comes with medical insurance and other benefits. 

 Qualifications: 

 Required: • Ph.D. in Condensed Matter Physics, or a related field. 

 Preferred: • Previous experience with machine learning algorithms, many body physics. 

 To apply, please submit the following: 

• Cover letter 

• Curriculum vitae

• List of publications 

• Brief statement of research interests 

• Two letters of reference sent directly to psengupta@ntu.edu.sg 

 Review of applications will begin immediately and continue until the position is filled. 

The successful candidate must complete all degree requirements before joining. 

 For further information about this position, please contact Pinaki Sengupta (psengupta@ntu.edu.sg). 

 About Singapore: 

 Singapore is a young and dynamic city in tropical South-East Asia that has a very international outlook, and is actively encouraging an innovative research atmosphere. It has a particularly vibrant effort in two- dimensional materials providing an excellent environment for exciting interactions (both experimental and theoretical). The official working language in the department and institute is English; it is also the predominant language spoken throughout the city.