Postdoctoral Research Associate - Algorithm Development for Scientific Computing

About the role

We are seeking a Postdoctoral Research Associate to join a large research team working on the development and implementation of novel algorithms for scientific computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research at the intersection of applied mathematics, computational science, and high-performance computing.

Major Duties/Responsibilities

• Develop, implement, benchmark, and advance novel computational methods for equilibrium and nonequilibrium quantum many-body systems.
• Contribute to the development of scalable and efficient implementations of these algorithms for state-of-the-art high performance computing facilities.
• Collaborate within a multi-disciplinary research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing.
• Author peer reviewed papers for internal and external release as well as represent the organization via technical presentations in workshops and conferences.

Basic Qualifications

• Ph.D. in computational physics or a field relevant to the job duties such as physics, mathematics, computer science, or engineering within the past 5 years.
• Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field.
• Proficiency in quantum mechanics, statistical modeling, and linear algebra.

Preferred Qualifications

• Experience with density matrix renormalization group and tensor network algorithm development and application.
• Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems.
• Experience in parallel programming with one or more common parallel programming models, like MPI or OpenMP.
• Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes.
• Experience with using high performance computing for lattice model simulations.
• Experience working in a multi-disciplinary research environment.
• Demonstrated written and oral communication skills, a proven publication record, and effective interpersonal skills.