Location: Oak Ridge, TN
Cap-Exempt H-1B Position — No lottery required
Requisition Id 16262 **Overview:** We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research concepts and results to national. This position resides within the Quantum Computational Science Group in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED performs transdisciplinary computational science and analytics at scale to produce advancements in physical sciences, engineering, and biomedicine and health. The Quantum Computational Science group addresses this mission through the development of quantum computational methods and software for diverse scientific applications. **Major Duties/Responsibilities:** - Conduct research in mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software - Write peer-reviewed scientific articles and present research findings at major scientific conferences - Collaborate with ORNL staff scientists and external collaborators - Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service **Basic Qualifications:** - A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. - A strong foundation in linear algebra (tensor networks and beyond) and quantum physics - Familiar with programming languages and scientific computing **Preferred Qualifications:** - Experience working with low-