Postdoctoral Research Associate - Neuromorphic Computing Pixelated Detectors
Listed on 2025-12-13
-
IT/Tech
Data Scientist, AI Engineer, Machine Learning/ ML Engineer, Data Science Manager -
Research/Development
Data Scientist
Postdoctoral Research Associate - Neuromorphic Computing for Pixelated Detectors
We are seeking a highly motivated Postdoctoral Research Associate to contribute to the NEUROPIX project, an interdisciplinary effort at the intersection of high-energy physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing.
The successful candidate will work with a multi-institutional and multi-disciplinary team to develop AI-enabled, low-latency signal-processing algorithms for next-generation pixel detectors used in high-energy physics experiments.
This position offers the opportunity to engage in cutting‑edge research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data‑rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector technologies.
This position resides in the Relativistic Nuclear and High Energy Physics group in the Physics Division, Physical Science Directorate, at Oak Ridge National Laboratory (ORNL).
Major Duties/ResponsibilitiesDepending on background and interest, responsibilities may include:
Neuromorphic & ML Algorithm Development- Development and training of Spiking Neural Networks (SNNs) for clustering, classification, and interpolation of pixel detector data.
- Exploration of spike‑based data encoding/decoding strategies.
- Hyperparameter optimization using advanced computing resources (e.g., HPC clusters).
- Use and extension of Allpix2 and TCAD‑based simulation tools.
- Generation of large simulation datasets for algorithm training and validation.
- Integration of simulation with neuromorphic platforms.
- Deployment of SNNs to FPGA‑based neuromorphic hardware (e.g., Neuro Spike/Neuro Spark).
- RTL generation using HLS workflows and evaluation of resource usage, latency, and performance.
- Participation in hardware test benches for real detector systems.
- Testing and characterization of pixel detectors (CMS HL‑LHC, Timepix4, AC‑LGAD, PDCs).
- On‑sensor data processing demonstration with hardware prototypes.
- Potential involvement in beam tests or radiation‑source laboratory setups.
- Ph.D. in Physics, Electrical Engineering, Computer Science, or a closely related field.
- Experience in at least one of the following areas:
- FPGA programming (VHDL/Verilog, HLS)
- Pixel detectors in high‑energy physics or radiation detection
- Neuromorphic computing or Spiking Neural Networks
- Machine learning, AI/ML algorithms, or scientific computing
- Strong programming skills in Python and/or C++.
- Ability to work collaboratively in a multidisciplinary team.
- Strong communication skills and the ability to document and present research clearly.
- Experience with:
- Allpix2, GEANT4, detector simulation, or TCAD
- HPC environments or GPU‑accelerated computing
- Familiarity with HEP data formats and reconstruction.
- Background in semiconductor sensor physics or microelectronics.
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
Letters of RecommendationPlease submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent to topostdocrecruitment with the position title and number referenced in the subject line.
Instructions to upload documents to your candidate profile:
- Login to your account via jobs.ornl.gov
- View Profile
- Under the My Documents section, select Add a Document
- This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
- For employment at Oak Ridge National Laboratory (ORNL), a Real form of identification will be required.
- Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).