Postdoctoral Research Associate Neuromorphic Computing
Oak Ridge National Laboratory (ORNL) is a U.S. Department of Energy national laboratory conducting multidisciplinary research in computing, AI, energy, materials, nuclear science, neutron science, isotopes, and national security.
Funding history
Investors
About Oak Ridge National Laboratory
ORNL is a government-owned, contractor-operated U.S. Department of Energy research laboratory in Oak Ridge, Tennessee. UT-Battelle operates ORNL for DOE; the laboratory currently provides AI and high-performance-computing capabilities alongside science and engineering research infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research, develop, optimize, and validate software, drivers, firmware, and hardware-software co-design approaches for edge neuromorphic systems. You will benchmark physical hardware, collaborate with researchers, publish findings, author technical materials, and present results publicly.
Requirements
- Ph.D. in computer engineering, electrical engineering, computer science, or a closely related field
- Programming proficiency in C, C++, and Python
- Experience with embedded systems programming, bare-metal development, or RTOS
- Experience with ARM or RISC-V microcontrollers and FPGA development using Verilog, VHDL, or SystemVerilog
- Experience with SPI, I2C, UART, and PCIe
- Experience with software engineering, Git, documentation, and tutorials
- Understanding of neuromorphic computing, spiking neural networks, neuron models, and SNN training or conversion methods
- Publication record in peer-reviewed journals and conferences
- Ph.D. received no more than five years before application and all degree requirements completed before appointment
- Ability to obtain and maintain a federal PIV card and pass a Federal Tier 1 background investigation
- Submit three letters of reference
Responsibilities
- Develop and optimize low-level software, drivers, and firmware for spiking neural networks on embedded platforms
- Develop and evaluate hardware-software co-design approaches for edge neuromorphic systems
- Implement and validate spiking neural network frameworks on microcontrollers, FPGAs, or neuromorphic processors
- Conduct power profiling, energy-per-inference measurements, and latency benchmarking
- Build collaborations with neuromorphic computing and embedded systems communities
- Publish research in journals and conferences
- Author peer-reviewed papers, technical papers, reports, and proposals
- Give talks at conferences, workshops, and guest lectures
Benefits
- Medical plan
- Retirement plans
- Flexible work hours
- On-site fitness facilities
- On-site banking facilities
- On-site cafeteria facilities
- Prescription drug plan
- Dental plan
- Vision plan
- 401(k) retirement plan
- Contributory pension plan
- Life insurance
- Disability benefits
- Vacation and holidays
- Parental leave
- Legal insurance with identity theft protection
- Employee assistance plan
- Flexible spending accounts
- Health savings accounts
- Wellness programs
- Educational assistance
- Relocation assistance
- Employee discounts